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Pavan Sai Reddy Pendry
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
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About
Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.
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Key Strengths
- Built an LLM-powered campus assistant chatbot with RAG + agent routing (FastAPI backend, React frontend, JWT auth)
- Strong latency optimization approach (profiling, speculative prefetching on partial input, caching, cancellation/refresh)
- Designs agent workflows with measurable success criteria and layered evaluation
- Implements rigorous testing for AI systems (golden tests, edge cases, regression tests from real queries)
- Pragmatic model/retrieval selection balancing accuracy, latency, and cost (small models for routing; larger for reasoning)
- Comfortable with both framework-based and custom orchestration (tool calling, graphs, state machines) for tighter control and fallbacks
- Effective collaboration with non-technical stakeholders by translating pain points into workflows and iterating via demos/feedback
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Experience
Education
Languages
Publications
2 publications
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