Work Preference
Summary
Overview
Work History
Education
Skills
Affiliations
Technical Proficiencies
Notable Projects
Professional Development
Awards
Publications
Timeline
Generic
Open To Work

Alireza Kashian

Sunnyvale

Work Preference

Desired Job Title

Head of HD MappingGeoSpatial Technology ManagerSenior GeoSpatial Data ScientistStaff Technical Product Manager, Machine LearningDirector of Product, Spatial Intelligence Platforms

Work Type

ConsultingContract WorkFull Time

Location Preference

RemoteHybridOn-Site
Location: Sunnyvale, USASan Francisco, CASanta Clara, CAMountain View, CA
Open to relocation: Yes

Important To Me

Career advancementHealthcare benefitsPersonal development programsCompany Culture

Summary

Innovative leader in data systems for autonomous technologies, focusing on robotic sensor data collection and 3D spatial infrastructure. With over 15 years in geospatial technology, AI/ML, and software development, designed platforms that transform raw data into actionable insights. Enhanced autonomous vehicle deployment and emergency response while managing cross-functional teams globally.

Overview

23
23
years of professional experience

Work History

Head of HD Mapping

Gatik AI
Mountain View
06.2025 - Current
  • Led Gatik’s end-to-end HD Mapping function, worked directly with engineering leadership, owning strategy, roadmap, team structure, tooling, user workflows, production workflows, edge-case discovery, QA gates, review processes and validation, release management, deployment, and maintenance for autonomous trucking networks.
  • Advanced ML-assisted mapping initiatives using multimodal autonomous vehicle datasets including LiDAR point clouds, camera imagery, GNSS/IMU trajectories, localization traces, telemetry streams, HD map layers, and validation events across multiple deployment corridors.
  • Conceived and architected Horizon, a production-grade internal geospatial platform for HD map visualization, digitization, task assignment, review history, version control, data publishing, access control, QA monitoring, collaboration, and map publishing, enhancing operational efficiency.
  • Built and managed a multidisciplinary team of frontend/backend engineers, point-cloud specialists, trajectory optimization engineers, LiDAR data engineers, software contributors, and 25+ global GIS professionals, pointcloud digitizers and HD Map reviewers.
  • Delivered 2,000+ miles of Lanelet2/OSM-based HD maps across Arizona, Texas and Arkansas, and other deployment corridors, saving an estimated $2.5M in vendor costs and accelerating delivery by approximately 6 months.
  • Scaled distributed HD map production pipeline by defining annotation standards, review procedures, quality gates, training materials, release workflows, and operational documentation, improving consistency and throughput.
  • Directed cross-functional collaboration among Mapping, Localization, Autonomy, Platform, Operations, Network Design, Data Collection, and Safety teams to align HD maps with autonomy-stack requirements.
  • Led integration of HD mapping hardware rigs combining camera, LiDAR, IMU, and GNSS sensors, enabling faster and scalable field data collection and post-processing into colorized point clouds.
  • Partnered with Localization and Autonomy teams to resolve centimeter-level alignment, route geometry, feature accuracy, GNSS/trajectory quality, and stack-readiness issues.
  • Gatik develops, builds, and operates Class 6 and Class 7 autonomous trucks for middle-mile delivery across the United States and Canada.

GeoSpatial Technology Manager

Gatik AI
Mountain View
07.2024 - 04.2025
  • Owned and optimized end-to-end GeoSpatial DataOps pipelines, covering pre-collection planning, data recording, offloading, processing, organizing, validation, visualization, and pointcloud data conversions to support HD Mapping and localization debugging and automatic ML assisted feature extraction.
  • Developed Validation pipeline for centimeter-level Lanelet2 Compatible HD Maps ensuring map quality, geometric precision, defining semantic feature classes, checks for semantic consistency, and alignment with autonomy-stack requirements.
  • Integrated geospatial tools, HD maps, telemetry workflows, and operational applications into broader autonomy stack, accelerating deployment readiness across customer networks.
  • Directed raw LiDAR processing workflows including trajectory optimization, GNSS quality review, point-cloud aggregation, noise removal, lidar snapping, colorization, conversions to LAZ and LAS tiles.
  • Designed and developed Foxglove Extension (Named Pulse), a control app that reduced AV stack launch on main compute systems from approximately 2 hours to 5 minutes, dramatically improving field operational efficiency and engineering turnaround time.
  • Enhanced debugging productivity for test engineers by approximately 4x through integrated system indicators, real-time status visibility, and a built-in log panel that streamlined issue detection and root-cause analysis.
  • Collaborated with the localization team to analyze and reduce GNSS-related localization errors, such as applying GCPs for PointCloud tuning, SLAM based solutions and point-clouding matching algorithms.
  • Led technical initiatives across geospatial systems, AV operations tooling, HD map production, localization support, and data infrastructure, facilitating faster testing cycles and more reliable autonomous operations.
  • Gatik develops, builds, and operates Class 6 and Class 7 autonomous trucks for middle-mile delivery across the United States and Canada.

Senior GeoSpatial Data Scientist

Gatik AI
Mountain View
05.2023 - 06.2024
  • Pioneered the design and launch of Matrix, an internal geospatial web platform for autonomous-friendly route optimization, operating-network visualization, feasibility analysis, and network tuning after launch.
  • Architected Gatik’s first centralized Geospatial Data Infrastructure for processing, storing, visualizing, and managing route plans, ODD layers, survey data, and operational network intelligence.
  • Spearheaded ODD decomposition, defining route- and segment-level parameters such as lane-change complexity, left-turn exposure, intersection risk, road geometry, traffic constraints, and operational feasibility to enhance autonomous vehicle navigation.
  • Engineered custom routing algorithms using advanced cost-matrix optimization to enable autonomous-friendly route generation, support network scoring, facilitate route comparison, and inform operational decision-making.
  • Led high-precision field survey missions to capture road infrastructure, route geometry, traffic-control features, and operational constraints for autonomous vehicle deployment.
  • Partnered with Network Design, Operations, Autonomy, Mapping, and Product teams to evaluate customer networks, identify deployment corridors, and align route design with AV-stack capabilities.
  • Translated geospatial, operational, and autonomy requirements into scalable tools, workflows, and data products that enhanced route planning and deployment readiness while informing strategic network decisions.
  • Gatik develops, builds, and operates Class 6 and Class 7 autonomous trucks for middle-mile delivery across the United States and Canada.

Staff Technical Product Manager, Machine Learning

Sensoplex DBA Rover Health
Redwood City
02.2022 - 04.2023
  • Led product strategy and execution for an ML-powered remote therapeutic monitoring platform that analyzed patient gait, balance, and mobility patterns using bilateral leg-mounted IMU sensors.
  • Defined the ML product roadmap for detecting neurological-risk indicators from walking behavior, including stride asymmetry, gait variability, cadence, balance instability, and left/right leg movement differences.
  • Designed the end-to-end ML pipeline for IMU sensor data, covering ingestion, cleaning, synchronization, feature extraction, model training, validation, and clinician-facing analytics.
  • Developed machine-learning models to identify abnormal gait patterns associated with neuromotor and cognitive decline, including Parkinsonian gait characteristics and dementia-related mobility changes.
  • Improved model performance by 25% by implementing sensor-noise filtering, spatiotemporal feature engineering, and novel outlier-detection methods based on 1 million miles of real-world walking data.
  • Built Mapbox dashboard visualizing patient GPS trajectories and gait metrics, enabling physicians to assess walking behavior across outdoor environments and throughout longitudinal monitoring sessions.
  • Optimized ETL pipelines and AWS RDS-backed data infrastructure, enhancing reliability for collection, storage, and analysis of IMU, GPS, and patient mobility data.
  • Delivered core product capabilities two months ahead of schedule by redefining product vision, streamlining strategic priorities, and reprioritizing ML and clinical analytics features across sprints.
  • Sensoplex provides hardware and software solutions for remote therapeutic monitoring for analyzing patients’ gait balance. (Acquired in 2023)

Director of Product, Spatial Intelligence Platforms

Raoko Pty Ltd
Melbourne
03.2019 - 01.2022
  • Spatial intelligence company focused on a series of products and services related to spatiotemporal analytics, route optimization, mobile field data capture, image processing, and geospatial AI. Acquired in 2022.
  • Led product strategy and execution for a portfolio of geospatial SaaS, mobile data-capture, routing, and spatial intelligence products across logistics, telecom, real estate, and agriculture sectors.
  • Unlocked 40% additional delivery capacity and generated an estimated $10M in operational savings for a major courier company handling 30,000+ daily deliveries by redesigning last-mile routing strategy and optimization workflows.
  • Designed and launched mobile field-data and proof-of-delivery applications, enabling telecom contractors and logistics teams to efficiently collect structured field data, delivery status, and asset records.
  • Led development of an AI-powered real estate discovery platform using association rule mining, spatial analytics, and predictive modeling to evaluate 5M+ house and land parcels across Sydney and Melbourne.
  • Implemented satellite and drone imagery processing pipelines to monitor industrial agriculture land use and inform seasonal planting decisions.
  • Deployed multi-criteria spatial scoring models to assess urban land parcels based on highway accessibility, air pollution exposure, and investment suitability.

Senior Tech Lead R&D, Geospatial Platforms & Telemetry

Raoko Pty Ltd
Melbourne
03.2018 - 02.2019
  • Led technical product development for geospatial platforms, telemetry systems, map portals, asset tracking, and cloud-native spatial processing solutions, supporting $6M in funded R&D initiatives.
  • Reduced location-search latency by 250% by re-architecting the search stack with Elasticsearch, spatial indexing, and optimized geospatial query design.
  • Improved large-scale spatial processing performance by 80% through serverless cloud execution using hundreds of concurrent AWS Lambda functions.
  • Developed geodata conflation workflows merging OpenStreetMap, GPS telemetry from driver mobile apps, and authoritative datasets, enhancing reliability of map and navigation-ready spatial data.
  • Designed and launched QR/RFID-based asset management solution for tracking inventory location, movement, and status across distributed operational environments, improving asset visibility.
  • Partnered with engineering, GIS, operations, and executive stakeholders to clarify spatial-data challenges into scalable product requirements and technical roadmaps, enabling production-ready solutions.
  • Spatial intelligence company focused on a series of products and services related to spatiotemporal analytics, route optimization, mobile field data capture, image processing, and geospatial AI. Acquired in 2022.

Senior Manager, Product Release and Scale Up

Raoko Pty Ltd
Melbourne
08.2016 - 02.2018
  • Owned delivery of large-scale mapping, navigation, location-search, and satellite imagery layers for three major cities in the Middle East, helping generate $8M in revenue (public sector) and reach 12M registered users within three years span.
  • Managed end-to-end rollout of enterprise geospatial systems, including ArcGIS Server and Online, to streamline data access and improve service delivery for users.
  • Led implementation of emergency-response geospatial solutions, enabling command teams to visualize incidents, analyze resource allocation, and support operational decision-making during critical events.
  • Hired and built map production team to process large-scale geospatial data, integrate authoritative datasets, and develop QA workflows, enhancing data accuracy and reliability.
  • Developed machine-learning workflows using PyTorch and GeoPandas to analyze driver behavior patterns from telemetry data, enabling safer driving insights and informing usage-based insurance models.
  • Developed spatial intelligence solutions focused on a series of products and services related to spatiotemporal analytics, route optimization, mobile field data capture, image processing, and geospatial AI. Acquired in 2022.

Geospatial Research Assistance

University of Melbourne
Melbourne
09.2012 - 12.2015
  • Applied deep learning methods and spatial extrapolation methods to improve GPS positioning accuracy in urban blind spots by up to 50%, supporting the discovery of unmapped locations in dense built environments.
  • Developed POI plausibility recommendation system for OpenStreetMap, enabling OSM community and map editors to detect, score, and filter vandalized or low-quality geospatial data using Python, PyTorch, and PostgreSQL.
  • Designed WarnWave, a location-based crowdsourcing application to collect and map public reports on urban incidents, emergencies, and natural disasters, enhancing community awareness and response.
  • Developed NLP-based methods for real-time detection of global natural disasters using geotagged Twitter data and social media signals.
  • Applied CesiumJS to visualize flood impact scenarios on road networks, facilitating optimized routing analysis for first responders during emergency situations.
  • Built and deployed a Raspberry Pi–based BLE/IoT prototype to collect indoor motion data and visualize pedestrian movement patterns inside buildings.
  • Co-hosted three geospatial research conferences, authored 10 academic papers, and presented research at six international conferences.
  • Center for Disaster Management and Public Safety

Lead Software Developer

Lilihood Pte. Ltd.
Singapore
03.2010 - 08.2012
  • Co-founded geospatial technology startup, establishing focus on map portals, address intelligence, POI data platforms, and location-based community products, driving innovation in the industry.
  • Led an 8-member software engineering team across backend development, geospatial data processing, address verification workflows, and web platform delivery.
  • Architected and launched an Address Verification System (AVS) to collect, validate, and enrich large-scale residential address datasets using custom-mailed postcard verification workflow and publish API endpoints.
  • Scaled AVS operations to achieve 250% annual growth in verified residential addresses, reaching approximately 4M verified addresses within three years.
  • Directed design and development of geospatial web applications, leveraging PHP, Python, JavaScript, PostgreSQL/PostGIS, Mapnik, OpenStreetMap data, geocoding pipelines, and custom map tile services to enhance user experience.
  • Contributed to fundraising efforts totaling approximately $6M for R&D initiatives, including geospatial product development, map-based portals, and location intelligence platforms.
  • Developed and presented Lilihood’s business proposal, resulting in a $200K award from Singapore’s i.JAM startup initiative.
  • Co-founded a geospatial technology startup that focused on map portals, address intelligence, and POI data platforms.

Co-Founder and Senior Software Project Manager

Rojina Computer Ltd.
03.2003 - 08.2005
  • Co-founded and managed a software development company delivering web applications, data analytics platforms, and early-stage internet products for commercial and public-sector clients.
  • Led software project lifecycles, including requirements gathering, system design, web development, data processing, QA, deployment, and client delivery, ensuring timely project completion.
  • Managed team of four C++, VB.NET, JavaScript, and database developers to deliver client-facing analytics platforms, improving public health data analysis capabilities.
  • Designed and developed web scraping and data extraction system to structure data and generate analytical outputs with online charting tools, enhancing data accessibility for clients.
  • Conceived and developed Eventorial.com, a social event crawler and syndication platform for aggregating local social events from online social media or news sources; the product was later acquired.
  • Developed Picartia.com, one of the first online photo mosaic generation platforms, attracting 25000 users within the first six months after launch.
  • Co-founded and managed a software development company delivering web applications, data analytics platforms, and early-stage internet products for commercial and public-sector clients.

Education

Doctor of Philosophy (PhD) - Geospatial Research Assistance

University of Melbourne
Melbourne, Australia
12-2020

Master of Engineering - Information Technology

Nanyang Technological University
Singapore
12-2007

Certificate of Information Technology Development -

Tampere University of Technology
Tampere, Finland
12-2003

Bachelor of Science - Electrical Engineering, Electronic

Isfahan University of Technology
12-2002

Skills

  • Autonomous vehicle integration
  • Strategic Roadmap Development
  • Edge-case mining
  • Team leadership
  • Geospatial data visualization
  • ML dataset curation
  • Product Strategy Leadership
  • Autonomous Mapping Integration
  • Cross-functional execution

Affiliations

  • IEEE (Institute of Electrical and Electronics Engineers), 2002-2003
  • OpenStreetMap Foundation, 2012-Present
  • OSGEO (Open Source Geospatial Foundation), 2014-Present
  • Engineers Australia, 2014-Present
  • ICANN (Internet Corporation for Assigned Names and Numbers), 2002-2008

Technical Proficiencies

Geospatial Data Mining, Spatiotemporal Analysis, Machine Learning & Predictive Analytics, Data Modeling, NLP, Python, C++, JavaScript, RESTful APIs, JSON-RPC, Mapbox SDK, PostgreSQL, PostGIS, Oracle Spatial, MongoDB, Spark, Redis, RabbitMQ, ArcGIS Online, ArcGIS Collector, ESRI Survey123, Grass GIS, GDAL, QGIS 3, Geopandas, Fiona, Rasterio, Cartopy, Cesium, Tensorflow, Scikit Learn, PyTorch, Tableau, Numpy, Matplotlib, Jira, CI/CD, Git, Docker, Amazon AWS Cloud Foundation, Amazon Lambda Functions, Github Actions

Notable Projects

  • Carmido.com (Driver behavior profiling using IMU/GPS data)
  • Lilihood.com (Location-Based social networking | 2008 merged & acquired)
  • Eventorial.com (Auto discovery & listing of events based on location | 2012)
  • Tagrio.com (Smart asset management and lost/found solution | 2016)
  • WarnWave App (Reporting geo-referenced incidents by crowd 2015)
  • Skypack.ir (Smart Prepaid Postal Packaging Solutions, since 2018)
  • Picartia.com (World’s first Online Photomosaic Maker)
  • Sharpmap.xyz (OSM POI Analyzer)

Professional Development

  • Technical Product Management Certificate, LinkedIn Certificates, 01/01/22
  • Scrum, LinkedIn Certificates, 01/01/22
  • Internet Governance Capacity Building, Diplo Institute in Malta, 01/01/05
  • Certificate of Software Project Management, Tampere University of Technology, Finland, 01/01/03

Awards

  • Full-PhD scholarship at the University of Melbourne, 01/01/12 - 12/31/16
  • Runner-up: Australia Water Challenge, 01/01/16
  • 1st place: Google coding competition at RMIT University, 01/01/12
  • 1st place: Resilient Australia Award for IDDSS (Intelligent Disaster Decision Support System), 01/01/14
  • 1st place: Singapore Startup Competition for “Best Business Plan” for location-based social networking, 01/01/07
  • Awarded as the best managing director for the national university student magazine (Arpanet), publishing 5000 copies, 01/01/01

Publications

  • Automatic Analysis of Positional Plausibility for Points of Interest in OpenStreetMap Using Coexistence Patterns, Alireza Kashian, Abbas Rajabifard, Kai-Florian Richter, Yiqun Chen, International Journal of Geographical Information Science, 33, 7, 1420–43, 01/01/19, 10.1080/13658816.2019.1584803
  • Mining the co-existence of POIs in OpenStreetMap for faulty entry detection, Alireza Kashian, Kai-Florian Richter, Abbas Rajabifard, Yiqun Chen, Alan Both, Matt Duckham, Allison Kealy, CEUR Workshop Proceedings, 2016
  • RoadPlex: A Mobile VGI Game to Collect and Validate Data for POIs, Alireza Kashian, Abbas Rajabifard, Kai-Florian Richter, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 1, 2014, 55-60
  • Smart VGI Platforms: Methods for Automatic Vandalism Detection, Alireza Kashian, Spatial Data Infrastructure Asia & the Pacific Newsletter, 11, 3, 03/01/14
  • A New Captcha Based on Understanding Harmony Images, Alireza Kashian, Sona Hassani, Ehsan Zaery Moghaddam, 2010 International Conference on Internet Computing, 07/01/10, Las Vegas, USA
  • Collaborative Concept Tagging for Images based on Ontological Thinking, Alireza Kashian, Robert Kheng Leng Gay, Abdul Karim, International Conference on Image and Video Retrieval, 07/13-15/06, Arizona State University, USA
  • Generating Visual Concept Maps based on Collaborative Tagging System, Alireza Kashian, Robert Kheng Leng Gay, Mohammad Reza Motallebi, 13th International Multimedia Modeling Conference, 01/01/07
  • Commonsense Measurement Through Gaussian Interpolation of Tags for an Image Labeling Game, Alireza Kashian, Robert Kheng Leng Gay, Mehdi Rasouli, Habib Mir M. Hosseini, 2007 International Conference on Internet Computing, 06/01/07, Las Vegas, USA
  • Collimator – Collaborative Image Annotator & Visual Concept Generator, Alireza Kashian, Robert Kheng Leng Gay, Mehdi Milanifard, Hashem Tatari, The 5th International Semantic Web Conference, Challenge 06, 11/01/06, Athens, University of Georgia, USA

Timeline

Head of HD Mapping

Gatik AI
06.2025 - Current

GeoSpatial Technology Manager

Gatik AI
07.2024 - 04.2025

Senior GeoSpatial Data Scientist

Gatik AI
05.2023 - 06.2024

Staff Technical Product Manager, Machine Learning

Sensoplex DBA Rover Health
02.2022 - 04.2023

Director of Product, Spatial Intelligence Platforms

Raoko Pty Ltd
03.2019 - 01.2022

Senior Tech Lead R&D, Geospatial Platforms & Telemetry

Raoko Pty Ltd
03.2018 - 02.2019

Senior Manager, Product Release and Scale Up

Raoko Pty Ltd
08.2016 - 02.2018

Geospatial Research Assistance

University of Melbourne
09.2012 - 12.2015

Lead Software Developer

Lilihood Pte. Ltd.
03.2010 - 08.2012

Co-Founder and Senior Software Project Manager

Rojina Computer Ltd.
03.2003 - 08.2005

Doctor of Philosophy (PhD) - Geospatial Research Assistance

University of Melbourne

Master of Engineering - Information Technology

Nanyang Technological University

Certificate of Information Technology Development -

Tampere University of Technology

Bachelor of Science - Electrical Engineering, Electronic

Isfahan University of Technology
Alireza Kashian