Vetted Engineering Professionals in California

Aidan O'Hare

Screened ReferencesStrong rec.

Junior Robotics & Controls Engineer specializing in SLAM and multi-robot systems

Santa Clara, CA3y exp

“Robotics software engineer with deep ROS/ROS 2 experience spanning both simulation and real hardware. Led a Master’s thesis building a decentralized multi-robot control stack in ROS 2 (Isaac Sim + Nova Carter), implementing nonlinear MPC (casADI) and RRT* planning with SLAM/3D LiDAR, and tackled tricky frame-convention integration issues. Previously built an autonomous quadruped for first responders (PACRR), integrating LiDAR/RGB-D/IMU sensors and tuning navigation behavior through iterative field testing.”

“Full-stack developer who uses AI deliberately rather than blindly, keeping generated code to a minority of core feature work so they retain full understanding of data flow. Built a React/TypeScript + Supabase task management app and shows strong judgment around debugging hallucinated schema/query output, refactoring for maintainability, and prioritizing security and logic over boilerplate speed.”

“Unity gameplay engineer with hands-on ownership across core game systems, multiplayer, AI/LLM integration, and cross-platform XR/mobile shipping. Particularly compelling is their combination of deep runtime optimization and systems architecture: they cut match-3 cascade frame spikes by 40-50%, eliminated a class of production race-condition bugs, and also built a local-model FastAPI-backed AI prototype with structured evaluation and cost control.”

“Engineer focused on real-time collaborative canvas products and AI-assisted design workflows, with hands-on ownership of both multiplayer infrastructure and LLM-powered generation systems. They combine strong TypeScript/full-stack architecture with production-grade AI evals and observability, and cite meaningful outcomes including zero sync-conflict bugs, rollout to 50,000+ DAUs, and major gains in onboarding speed and engagement.”

“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”

“Built and productionized an LLM-based appointment management agent, implementing RAG with Redis and LangGraph plus multi-agent intent handling and rule-based conflict guardrails to prevent double-booking under high load. Experienced in real-time diagnosis of agentic workflow failures using logs/traces and state inspection, and in driving adoption via interactive developer demos and sales-aligned custom customer scenarios.”

“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”

Bhavesh Patel

Screened

Senior Unity Developer specializing in AR/VR and multiplayer games

CA, United States9y exp

“Unity VR developer with 3 years of experience shipping games for Meta Quest, focused on gameplay event handling and animation control. Prefers structured production environments and on-site, 9-to-5 work; notes multiplayer development as a more challenging area.”

“Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.”

“Built Python-based data workflow integrations for a Huntsman Cancer Institute research project, focusing on reliable upload, validation, processing, and retrieval of messy research data. Demonstrates strong practical instincts around automation hardening, observability, and translating ambiguous manual processes into structured workflows, including Selenium automation when APIs were unavailable.”

Mohamed Risaldar Uppil Thodi

Screened

Senior Full-Stack Engineer specializing in real-time systems and backend platforms

San Francisco Bay Area, CA10y exp

“Fullstack engineer with strong experience building real-time, customer-facing products across e-commerce personalization and enterprise monitoring dashboards. Stands out for combining hands-on React/Node/GraphQL development with cloud-edge/WebRTC/WebSocket architecture, while working directly with customers to shape MVPs that achieved strong adoption.”

“Founding engineer at an early-stage agent marketplace who built the core job lifecycle, live run viewer, and LLM-based verification/settlement flow that gated escrow release. Also worked on a multi-agent diagnostic system using a blackboard architecture with specialized models, structured outputs, and human-in-the-loop review—showing unusual depth in both product engineering and applied AI systems.”

“Robotics software engineer focused on production ROS 2 (Humble) systems for warehouse AMRs, with strong architecture and integration chops. Built a ROS 2 Lifecycle-based hardware abstraction layer to decouple autonomy from sensors (including mid-production LiDAR vendor swap), enabling mixed fleets and cutting bring-up/integration time dramatically. Also develops Nav2 plugins, MPPI tuning workflows, and scalable simulation/CI tooling (Gazebo, Docker, GitHub Actions) for high-throughput testing.”

“Built a real-time AI meeting assistant using a Chrome extension that streams audio to a backend LLM workflow with transcription and RAG, then hardened it for production with queue-based streaming, async pipelines, security controls, and full observability. Also has hands-on startup sales experience, partnering with customers to define measurable technical win conditions (latency/accuracy) to close deals and drive adoption.”

“Startup-style full-stack/backend engineer with hands-on AWS architecture experience who shipped an LLM-driven assessment-question automation feature (Python microservice calling AWS Bedrock via SQS, deployed on Lambda) with strong validation/guardrails and retry strategies. Also improved production scalability by moving a CPU/IO-heavy file upload path out of a Go API into a queue/Lambda design monitored with CloudWatch, and has React+TypeScript experience optimizing analytics dashboards.”

“Full-stack engineer operating in early-stage, high-velocity environments (OpGov.AI/UST Calibrate) who ships production Next.js App Router features end-to-end (RSC, Server Actions, SEO, RBAC, caching) and owns performance post-launch. Demonstrates strong data/infra depth—designed Postgres JSONB-based event models for DevOps/DORA analytics and tuned queries from ~2s to <50ms, plus built durable ingestion workflows with retries and idempotency on Azure.”

Benjamin Agyekum

Screened

Senior Full-Stack Software Engineer specializing in AI-powered web and mobile applications

California, USA8y exp

“Backend/full-stack TypeScript engineer who has owned end-to-end, production-oriented systems including an AI property management platform (NestJS/Postgres/WebSockets on Google Cloud using Gemini Vision) and an AI logistics platform (Node/Redis queues/Postgres) focused on low-latency, correctness, and observability. Also designed a public GraphQL API and TypeScript SDK for education partners at StudyFetch, citing 40+ partner integrations in the first quarter.”

“Software developer who actively integrates AI coding tools like ClaudeCode, Codex, and ChatGPT into day-to-day development for brainstorming, planning, and reducing boilerplate work. They show thoughtful awareness of agent limitations such as hallucinations and use markdown-based project context files to improve output quality.”

Ashutosh Talwalkar

Screened

Mid-level Software Engineer specializing in frontend and full-stack SaaS platforms

Santa Clara, CA7y exp

“Frontend-focused product engineer who owned the Quickwork automation platform’s architecture from 0 to 1, including a major migration from a monolithic frontend to microfrontends with Module Federation. Particularly strong in complex operational UX: real-time execution monitoring, analytics dashboards, API contract design, and performance-sensitive React/TypeScript systems for B2B SaaS workflows.”

Volodymyr Pisotskyi

Screened

Junior Full-Stack Engineer specializing in AI-powered web applications

San Francisco, CA2y exp

“Full-stack engineer building production AI/RAG systems for benefits workflows, including a state-level deployment that introduced filestore-based evaluation and improved answer correctness by about 30%. Strong across Next.js, backend infrastructure, and AI evaluation tooling, with hands-on experience in LangChain/LangGraph, Langfuse, accessibility-minded UI work, and zero-to-one product leadership in fast-moving environments.”

“Backend engineer who owned the API layer for an AI trust/analytics dashboard (trust scores, stability checks, public verification endpoints) using Python/FastAPI and Postgres. Has hands-on DevOps experience deploying FastAPI and Node.js services to AWS Kubernetes with GitHub Actions + ArgoCD GitOps, plus Kafka-based real-time event streaming and careful staged migration practices (shadow traffic/dual writes, rollback planning).”

“Backend/cloud engineer from Resilient Tech with hands-on experience deploying REST APIs and database migrations into a live ERP used by real customers while maintaining 99% uptime. Has debugged intermittent AWS container timeouts down to security group/load balancer misconfigurations, and has extended Python in an ERPNext system to meet GST/e-invoicing compliance requirements with strong customer collaboration.”