Summary
Overview
Work History
Education
Skills
Projects
Honors And Awards
Timeline
Generic

Kanish Nimesh Shah

Sunnyvale

Summary

Strategic Software Engineer skilled in application development, testing and optimization. Excels at coordinating ground-up planning, programming, and implementation for core modules. Maintains strong object-oriented and software architecture fundamentals.

Overview

6
6
years of professional experience

Work History

Software Engineer III

Walmart Global Tech
Sunnyvale
06.2023 - Current
  • Led development of Walmart's DOOH Ads Sync SDK, powering synchronized video playback across thousands of BrightSign; delivered features like auto-update, and zero-touch migration-reducing manual maintenance effort.
  • Owned end-to-end frontend SDK logic, including BrightScript modules for heartbeat dispatch, secure auth, playable impression/beacons, and emergency broadcast-improving observability and playback reliability across 4K+ stores.
  • Authored technical design documents, wrote comprehensive Jest test cases, and collaborated with cross-functional teams to resolve integration challenges, ensuring alignment across the platform and seamless integration.
  • Built a scalable impression tracking solution for the retail advertising ecosystem, enabling accurate audience measurement and viewability analytics across a distributed digital signage network, supporting advertiser ROI metrics.

Software Engineer III Intern

Walmart Global Tech
Sunnyvale
05.2022 - 08.2022
  • Implemented tracking services for the display of third-party tracking. Generated and mapped a new payload (MOAT + IAS) help advertisers monitor data for advertisements. These contained properties help send data to those companies.
  • Created feature flags termed as CCM common to MOAT and IAS for production which acted as Boolean to data getting passed to the backend based on customer requirements.
  • Developed events for IAS for full-in-view, fifty in View for 5s and 15s based on Intersection Observer ratio and calculated in-view time for these events. These events had metrics that got saved based on user interaction on Walmart's website.
  • Wrote unit test cases for both phases in Jest, reviewed code and used GitHub as CI/CD pipeline for merging code to production.

Machine Learning Developer

LogicRays Technologies
Ahmedabad
07.2020 - 07.2021
  • Partnered and worked on more than 10+ major Python Django development projects, including developing APIs, handling relational, NOSQL, and end-user databases of more than 100 GB, and frontend development in Django for international clients.
  • Executed topic modeling using unsupervised LDA. Implemented state-of-the-art SARIMA and ARIMA models for stock price and time series prediction that attained an accuracy of 92%.
  • Automated scrapers for more than 100 websites with Selenium and BeautifulSoup for extracting millions of records of data.

ML Research Intern

Indian Space Research Organization
Ahmedabad
12.2019 - 04.2020
  • Predicted wave height for coastal region people involving ML algorithms (SVM and Random Forest) with accuracy of more than 95%.
  • Utilized real time satellite & buoy data for waves near the coastal region and forecasted the next day waves using ML algorithms.
  • Structured model achieved an RMSE in the range between 0.35 to 0.45 by averaging features for buoy data with correlation of 97%.

Education

Master of Science - Computer Science

University of Southern California
US
05.2023

Bachelor's - computer engineering

Indus University
India
05.2020

Skills

  • Python
  • Java
  • JavaScript
  • TypeScript
  • C
  • C
  • SQL
  • HTML/HTML5
  • BrightScript
  • Django
  • Flask
  • Nodejs
  • OpenCV
  • Tensorflow
  • Selenium
  • Svelte
  • Express
  • Jest
  • PyTorch
  • MySQL
  • PostgresSQL
  • SQL Server
  • Oracle DB
  • NoSQL
  • Docker
  • Kubernetes
  • Postman
  • Git
  • Jenkins
  • Redis
  • Linux
  • MVC
  • Maven
  • Microservices
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Deep Learning
  • Bash
  • Pattern Recognition
  • Data mining
  • Recommendation systems
  • Large Language Models

Projects

Tic Tac Learn, Python, Django, REST Framework, SQL, React, Led a team of 3 developers where a learning platform was developed consisting of a mix of videos, quizzes, and playlist., Designed APIs to display videos and quizzes allowed filtering and grouping based on similar classes. Resultant website supported more than half a million children for educational purpose. PokerStars Tournament Game, Python, Django, SQL, React, Devised poker game involving features such as different tournaments, players profile supervision and maintaining each rank based on transactions performed by winning or losing game., Coded APIs for building tournaments, player rank update, handling transactions, profile handling. Thousands of users employed it.

Honors And Awards

  • Co-authored a book on the Impact of Artificial Intelligence in Agriculture and Robotics for CRC Publications, London.
  • Reviewer Recognition and Globee awards for 80+ peer reviews in Artificial Intelligence/Machine Learning/Deep Learning.
  • Walmart Bravo award for Engineering excellence.

Timeline

Software Engineer III

Walmart Global Tech
06.2023 - Current

Software Engineer III Intern

Walmart Global Tech
05.2022 - 08.2022

Machine Learning Developer

LogicRays Technologies
07.2020 - 07.2021

ML Research Intern

Indian Space Research Organization
12.2019 - 04.2020

Master of Science - Computer Science

University of Southern California

Bachelor's - computer engineering

Indus University
Kanish Nimesh Shah