Summary
Overview
Work History
Education
Skills
Timeline
Generic

Tejendra Patel

Greater Seattle Area,WA

Summary

Over 9 years of experience in designing scalable backend systems, leading high-impact security and fraud prevention initiatives, and optimizing infrastructure at companies including Meta, DoorDash, Google, and Internet Brands. Known for driving anti-abuse enforcement, ML classification systems, and compliance-oriented architecture at scale. Proven track record in cross-functional leadership and delivering multi-million dollar platform efficiencies.

Overview

9
9
years of professional experience

Work History

Senior Software Engineer (Anti-Scraping, Mitigation & Enforcement)

Meta
02.2024 - Current
  • Led a high-priority initiative to reduce compute and storage usage by deprecating ~4500 unused ML features in Meta's Sigma infrastructure, resulting in $2M+ annual savings and improved classification accuracy. Analyzed usage patterns, worked with infra and model owners, and applied careful validation to ensure production stability.
  • Spearheaded the migration of anti-scraping enforcement policies from legacy Sigma pipelines to Omega. Migrated 1200+ features and 4 critical endpoints while maintaining full feature parity and zero downtime. Built alerting dashboards, regression validation tools, and handled rollout orchestration.
  • Implemented segmentation enhancements that increased IGWWW label classification by 15% and improved coverage by over 13%. Conducted deep analysis of unlabeled traffic patterns and devised new rule-based classification triggers for high-confidence detection.
  • Collaborated with infra, ML, and policy teams to build end-to-end forecasting pipelines, monitoring dashboards, and enforcement workflows to mitigate adversarial scraping behaviors.
  • Actively participated in on-call rotations and internal technical leadership discussions. Reviewed system design documents and mentored junior engineers transitioning into the Anti-Scraping org.

Senior Software Engineer, Team Lead (Fraud Platform)

DoorDash
03.2022 - 02.2024
  • Architected and launched DoorDash’s Identity Graph platform, enabling real-time relationship detection between users, devices, and payment instruments. Built scalable entity stores and implemented real-time fraud graph traversal logic using Cassandra and Neo4j.
  • Designed and led the implementation of MFA systems covering login, profile edits, bank account updates, and high-risk actions across all user types. Integrated MFA with rule-based risk scoring engines and ensured graceful fallback and retry flows.
  • Implemented OS-level persistent device ban mechanisms, starting with iOS using Apple’s identifiers for vendors (IDFV). Later expanded to Android and browser-based environments using fingerprinting techniques. Worked closely with platform teams for integration.
  • Created a self-service fraud rule authoring tool for analysts to write and validate real-time and batch rules using a decision tree-like UI. Integrated with Kafka pipelines and deployed auto-scaling job runners in production.
  • Led sprint planning, quarterly roadmap sessions, and cross-functional syncs with Trust & Safety, Identity, and Platform Engineering teams. Promoted two junior engineers through mentorship and feedback cycles.
  • Delivered platform reliability improvements via Terraform-based IaC deployment templates, Spinnaker-based rollouts, and Sentry-based runtime exception tracing.

Software Engineer (Ads Sales Infrastructure)

Google
10.2019 - 03.2022
  • Played a foundational role in building a unified Ads CRM platform for onboarding, tracking, and forecasting new advertiser leads. Previously, sales teams had to rely on 5+ tools and Salesforce APIs to manage advertiser relationships.
  • Led the design and backend implementation of core data models representing leads, advertisers, contacts, engagement signals, and revenue goals. Enabled multiple teams to build onboarding flows, dashboards, and attribution models on top of this shared platform.
  • Developed a revenue forecasting engine that integrated conversation metadata, pitch status, and historical advertiser behavior to estimate individual and regional revenue performance. Used extensively by sales leaders for compensation and quarterly planning.
  • Worked with UX, privacy, and platform compliance teams to ensure the solution met Google’s security standards. Introduced scoped access control policies for sensitive customer data and protected APIs using fine-grained IAM policies.
  • Reduced Salesforce API calls by over 80%, saving Google millions annually. Enabled region-specific logic and dynamic forms to support global teams across Ads verticals.
  • Participated in technical design reviews, documentation sprints, and knowledge-sharing sessions. Wrote onboarding materials adopted by incoming engineers across the org.

Software Developer

Internet Brands
07.2016 - 10.2019
  • Designed and launched the Buyer Assignment and Dealer Feedback Loop system to engage auto leads post-submission and ensure dealers followed up promptly. Implemented timed SMS/email triggers, web forms, and satisfaction surveys.
  • Created scalable cron jobs and tracking systems that sent reminders at 1-day and 7-day intervals, tracked dealer contact rates, and reported satisfaction metrics.
  • Built a dealer dashboard interface with secure login and data exports to allow dealerships to review ratings, download JSON/CSV files, and track high-intent leads.
  • Developed UI flows and server logic to enable customers to validate phone numbers, confirm vehicle purchases, and rate dealer experiences. Used this data to train quality-scoring systems that boosted lead prioritization.
  • Contributed to system refactoring and performance improvements in high-traffic pages. Optimized SQL queries and refactored Hibernate-based ORM usage for better DB latency.
  • Worked with QA, business analysts, and sales ops to design A/B experiments that improved lead conversion rates and renewal probability of dealer contracts.

Education

Master of Science - Computer Science

California State University, Los Angeles
Los Angeles, CA
06-2016

Bachelor of Engineering - Computer Engineering

Gujarat Technological University
Gujarat,India
06-2013

Skills

  • Languages & Frameworks: Java, Kotlin, Python, Hack, JavaScript, Groovy, Spring Boot, Spring MVC, Hibernate, JSP, REST/gRPC, Protocol Buffers
  • Cloud & Infrastructure: GCP, AWS, Docker, Kubernetes, Terraform, Spinnaker, Helm, Istio, CI/CD, Sentry, Datadog, Grafana, Splunk
  • Databases & Streaming: Cassandra, CockroachDB, PostgreSQL, MySQL, MongoDB, Redis, Kafka, Pub/Sub, Flume, Neo4j, Elasticsearch
  • Engineering Practices: System Design, Distributed Systems, Privacy Engineering, Security Compliance, Anti-Fraud Systems, ML Pipelines, Identity and Access Management, Feature Engineering, Real-Time Ingestion, IaC, Performance Optimization
  • Tools: Git, Jira, Confluence, Bitbucket, GitHub, Jenkins, IntelliJ, VSCode, Chrome DevTools, Postman, Fiddler

Timeline

Senior Software Engineer (Anti-Scraping, Mitigation & Enforcement)

Meta
02.2024 - Current

Senior Software Engineer, Team Lead (Fraud Platform)

DoorDash
03.2022 - 02.2024

Software Engineer (Ads Sales Infrastructure)

Google
10.2019 - 03.2022

Software Developer

Internet Brands
07.2016 - 10.2019

Master of Science - Computer Science

California State University, Los Angeles

Bachelor of Engineering - Computer Engineering

Gujarat Technological University

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