Vetted Software Engineers in the Los Angeles Metro

“Hands-on backend/AI engineer who solo-built two production Claude-based agent systems: an internal Slack RAG over Confluence/Jira/code/regulatory docs and a HIPAA/GDPR-compliant patient chatbot with embedding guardrails and expert-in-the-loop evals. Also architected a multi-region patient portal + microservices platform with Terraform/CI-CD and federated gateways, delivering major onboarding automation and strong reliability wins (PgBouncer, chaos/perf testing).”

“Backend engineer with healthcare domain experience building AI-driven radiology workflow systems. Evolved tightly coupled APIs into secure, reliable FastAPI-based services by moving heavy imaging/data processing into idempotent asynchronous pipelines with retries, feature-flagged incremental rollout, and strong data-integrity controls (constraints, backfills, validation). Strong focus on defense-in-depth security for sensitive patient data (OAuth2/JWT, RBAC, and database-level protections).”

“Built an end-to-end automated trading system for Polymarket, including Go/Python execution services, Terraform-scheduled ETL/feature pipelines, and monitoring on modest hardware. Also shipped a production LLM+RAG signal verifier/explainer that grounds trade decisions in external context (news/social) with vector DB retrieval and guardrails, plus a lightweight RAGAS-style eval loop on ~50 resolved markets that improved signal faithfulness by ~15%.”

“Backend engineer who built the core backend for Air Kitchens’ discovery/booking platform on AWS (Node + Python, DynamoDB, SQS/Lambda), optimizing for fast user-facing APIs and scalable async workflows. Introduced an AI matching service with a deterministic pre-filter + LLM ranking approach to balance latency vs quality, and has hands-on experience with production security (JWT/RBAC/RLS), CI/CD, and blue-green, staged migrations from Django to modular services.”

“Product-minded full-stack engineer at a B2B startup who ships high-stakes customer-facing features fast: delivered a Spanish AI support agent in 2 weeks by benchmarking LLMs and using native Spanish system prompts, reaching 90% resolution. Built the company’s first monetization system (hybrid subscription + usage) with Stripe/Firebase, emphasizing secure JWT-based flows and idempotent webhooks, and led a microservices decoupling effort that cut developer onboarding time by 50%.”

“Backend-focused engineer who has built and refactored FastAPI services backed by MongoDB, emphasizing async concurrency, stateless design for horizontal scaling, and performance tuning via indexing and request-level timing. Has implemented production authentication patterns (JWT, SSO, OAuth2 + PKCE) and user/org-scoped access controls, and improved reliability of LLM document-extraction APIs with fallback mechanisms.”

“End-to-end engineer who has productionized AI automation and RAG capabilities, building full-stack systems (React/Node/Redis/Postgres + vector DB) with evaluation-driven quality gates and monitoring. Reported ~60% reduction in manual ops time and major turnaround improvements, and has experience modernizing legacy systems safely via feature flags and parallel runs while working across product, data, and ops teams (System1).”

“Software engineer (Yellow.ai) who built and productionized an AI-driven resume tailoring system using embeddings + Chroma RAG + QLoRA fine-tuning, deployed via Docker/Kubernetes with CI/CD on a CPU-only Oracle VM. Demonstrates strong reliability/evaluation rigor (custom hallucination/coverage/relevance metrics) and measurable business impact, including a 60% user satisfaction lift from improving chatbot intent accuracy with product and support teams.”

“Full-stack engineer from seed-stage Violet Labs who owned an end-to-end production "compare push results" feature for external integrations, including solving tricky false-positive success cases by validating against internal entity hashes and confirmed integration events. Experienced building React/TypeScript SPAs with a Node + Postgres backend, deploying via AWS/Kubernetes, and setting up CloudWatch logging/metrics/alarms with SNS paging.”