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Ujwal Jibhkate
Junior AI Software Engineer specializing in GenAI and full-stack ML deployment
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About
Backend/Founding-Engineer-style builder who architected AESOP, a multi-agent distributed platform for biomedical literature evidence synthesis. Implemented an async FastAPI stack on AWS with LangGraph orchestration, Redis/Postgres+pgvector, and Celery-based background processing, plus defense-in-depth security (JWT refresh/rotation and DB-level isolation). Notable for hardening LLM workflows with multi-layer validation and convergence safeguards to prevent hallucinations and infinite agent loops.
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Key Strengths
- Designed and built an async FastAPI backend for a multi-agent evidence synthesis platform (AESOP) on AWS
- Strong production API reliability patterns: async concurrency, background workers, strict schema validation
- Security depth: JWT auth with refresh/rotation/revocation and database-enforced user scoping
- Migration leadership using shadow/parallel runs and incremental deployments to reduce risk and downtime
- Robustness engineering for LLM systems: multi-layer validation to prevent malformed JSON/hallucinated metadata
- Prevented infinite agent loops via confidence decay/convergence mechanism
- Performance focus with caching (Redis) and vector search (pgvector) while managing cost tradeoffs
- Maintained responsive APIs by decoupling long-running LLM tasks (Celery/Redis task IDs)
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Publications
2 publications
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