Vetted Distributed Systems Professionals

“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”

“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%.”

“Backend engineer focused on real-time, event-driven distributed systems (Node.js/TypeScript) with strict latency and reliability requirements. Deep hands-on experience debugging concurrency issues and designing resilient workflows (idempotency, circuit breakers, compensating actions) with strong observability; familiar with ROS/ROS2 concepts and confident ramping into robotics integrations.”

“Backend engineer who rebuilt and refactored high-traffic systems at Phenom using Java/Spring Boot/Play and also designs Python/FastAPI services. Focused on measurable reliability and performance gains through DB/query optimization, async processing, and strong observability, with disciplined rollout practices (feature flags, parallel runs, rollback) and security patterns including token auth and row-level security.”

“Backend engineer with hands-on experience modernizing a real-time logistics/tracking platform from a tightly coupled polling architecture to a service-oriented/microservices design using Node.js and WebSockets. Emphasizes contract-first FastAPI development, defense-in-depth security (JWT/OAuth, RLS/Supabase), and safe incremental migrations with feature flags and strong observability, delivering sub-second updates and improved performance under peak load.”

“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”

“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.”