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sahithi A
Mid-level AI Engineer specializing in LLM agents and RAG for health-tech
RemoteAI Engineer6 years experienceMid-LevelHealthcare ITHealth & FitnessEducation
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About
Backend engineer with health-tech AI platform experience who designed a modular FastAPI/PostgreSQL architecture supporting real-time user data and swap-in AI workflows. Has hands-on production experience with observability (CloudWatch, structured logging, LangSmith/LangGraph/LangChain tracing), secure auth (OAuth2/JWT, RBAC, RLS), and careful data-pipeline migrations using parallel runs and rollback planning.
Experience
AI EngineerMilton AI
AI/ML EngineerTexas Tech University
Data AnalystDuPont
Software EngineerHCL Technologies
Education
Texas Tech Universitymaster, Computer Science (2024)
Key Strengths
- Designed scalable FastAPI + PostgreSQL backend for health-tech AI platform with modular AI layer
- Built real-time notification/updates system using Firebase messaging
- Strong API reliability practices: strict validation with Pydantic, extensive testing, clear API contracts
- Production observability: structured JSON logging, AWS CloudWatch monitoring, proactive alerting
- Led low-risk backend/data pipeline migration with dependency mapping, rollback plan, parallel runs, and incremental rollout
- Implemented OAuth2/JWT auth with RBAC and database row-level security to enforce least-privilege access
- Proactively identified edge cases (time zone/midnight rollovers, corrupted uploads) and hardened data processing
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