Vetted Engineering Professionals in the Bay Area

Arun Ganesh

Screened

Junior Software Engineer specializing in healthcare AI and cloud infrastructure

San Francisco, CA3y exp

“Amazon Health AI engineer who has owned both full-stack clinical product features and production LLM systems end to end. Built HIPAA-compliant GraphQL and agentic RAG architectures for provider workflows across 125,000+ patients, with measurable impact including 30% higher clinical relevance, 55% lower lookup time, and 12% less false medical information.”

Joseph Fusco

Screened

Senior Software Engineer specializing in AI-powered developer tooling and backend platforms

Marin, CA10y exp

“Backend/product engineer from Postman Flows who has owned complex platform features end-to-end, including production versioning and an LLM-powered flow-building orchestration layer. Stands out for combining product-minded backend design, agentic AI workflow implementation, and strong production reliability work, including re-architecting a failing event pipeline from in-memory to managed queues.”

“Engineering leader with experience at Vertex and Salesforce, combining org leadership with hands-on architecture work. He led a 40-person team through execution and quality improvements, drove legacy modernization and SaaS transition, and launched a 0-to-1 voice capability in CRM while also applying AI to code migration and developer productivity.”

“Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.”

Ananda Kanagaraj Sankar

Screened

Engineering Leader specializing in marketplace monetization, pricing, payments, and trust & safety

San Jose, CA14y exp

“Early-stage founder in the ideation phase who previously took a hackathon concept in digital accessibility from prototype to a scalable SaaS platform, validating with developers, government web teams, and accessibility experts; the product was selected for deployment by the Indian Government. Strong focus on MVP validation, leveraging AI/automation, and building with limited resources; requires visa sponsorship due to immigration status.”

Christian Alcala

Screened

Mid-level Software Engineer specializing in LLM-powered analytics

Redwood Shores, CA4y exp

“Engineer with a pragmatic, production-focused approach to AI development, emphasizing verification, observability, and system design over hype. Built LLM-driven features and automated regression/validation pipelines, including quality measurement work at Oracle, and uses hands-on projects to test how AI fits into real business workflows.”

Shilong Li

Screened

Intern Software Engineer specializing in backend and distributed systems

San Jose, CA1y exp

“Backend engineer with experience at ByteDance (TikTok monetization) and Baidu, plus a personal real-time course booking/tracking platform built with FastAPI, Postgres, and Redis. Demonstrates strong concurrency and reliability engineering (Redis distributed locks with TTL extension, idempotent event processing) and practical DevOps skills (Kubernetes/Helm, GitLab CI/CD, Docker build-time optimization).”

Amrita Pritam

Screened

Senior Backend Engineer specializing in distributed microservices and event-driven systems

Fremont, CA10y exp

“Backend engineer with production experience building a high-scale notification pipeline (~20M/day) using Java/Dropwizard with Kafka and Azure Queue, including DLQ/poison-message handling and the outbox pattern for reliability. Also led a batch-based migration of Yammer Messaging user data from PostgreSQL to Azure Cosmos DB for global multi-region scale, addressing throttling and network failures via retries, escalation policies, and dynamic throughput tuning.”

Pranav Hariharane

Screened

Mid-Level Backend Engineer specializing in REST APIs and AWS

SF Bay Area, CA3y exp

“Backend engineer who built a new REST eligibility service at Barclays that unified siloed account logic (card/loan/deposit) and integrated with web/mobile, ultimately serving millions of users daily. Also built an end-to-end LLM-based pharmaceutical care-plan generation tool in a rapid Columbia startup competition, emphasizing configurable design, strict validation, persistence, and robust error handling.”

“Robotics software engineer who built the behavior-tree orchestrator for the Vulcan Stow robotic system, migrating from a state machine to significantly improve testability. Experienced with ROS 1 and Baidu Apollo workflows (rosbag, LiDAR/image extraction) from self-driving simulation work at LG Silicon Valley Lab, and currently focused on stable Docker/docker-compose-based deployments with disciplined QA and hotfix processes.”

“Full-stack engineer with Uber experience building finance/billing reconciliation systems: shipped and owned an internal operations dashboard (Next.js App Router/TypeScript) that cut investigation time from hours to minutes and improved load time from ~6–7s to <2s. Deep in Postgres modeling and performance (sub-200ms optimized queries) plus durable event-driven workflow orchestration with idempotency, retries/backoff, DLQs, and reconciliation jobs; also has seed-to-Series C startup experience emphasizing end-to-end ownership.”