Junior Software Engineer specializing in AI agents, RAG, and full-stack development
RemoteSoftware Engineer2 years experienceJuniorArtificial IntelligenceAutomotiveGovernment
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About
Backend engineer who built and iterated a secure, multi-tenant RAG system over a large document corpus, emphasizing strict RBAC/ACL isolation, hybrid retrieval (vector+keyword), reranking, and strong observability to balance relevance, latency, and cost. Also led production refactors/migrations using strangler + feature flags/dual writes and has experience catching subtle real-world failure modes (including in a sensor calibration optimization pipeline).
Experience
Software EngineerTresle AI
Software Engineer (Contract)Lucid Motors
Software Engineer InternSan Francisco Police Department (SFPD)
Software EngineerFlowNow
Software Engineer (Contract)Bentley Systems
Education
University of California, Berkeleybachelor, Computer Science and Data Science (2026)
Key Strengths
Designed secure RAG backend with early ACL filtering and hybrid retrieval (vector + keyword) plus reranking
Strong multi-tenant data isolation via retrieval-time filtering and centralized policy evaluation
Balances relevance, latency, and LLM/infra cost using candidate set limiting, chunking strategy, and caching
Security-first mindset with access-control audits, detailed retrieval decision logging, and cross-tenant test coverage
API platform engineering in FastAPI: versioned contracts, backward compatibility, deprecation strategy, and contract tests
Led low-risk migrations using strangler pattern, feature flags, dual writes, parallel output validation, and canary rollouts
Deep observability practice (metrics, tracing, structured logs) to diagnose slow dependencies and regressions
Proactively finds hidden failure modes (e.g., false local minima in calibration optimization) and adds scenario-based validation
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