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Puspa Oli
Junior Machine Learning Engineer specializing in NLP, Computer Vision, and FinTech AI
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About
AI/LLM engineer who has shipped production RAG and agentic systems end-to-end (LangChain/FAISS, OpenAI+Gemini, FastAPI, Docker, Streamlit), focusing on retrieval quality and low-latency performance. Also partnered with a non-technical PM at deepNow to deliver a forecasting + summarization pipeline for daily market insights with iterative prototyping and a simple UI.
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Key Strengths
- Built and deployed production RAG document assistant for querying large PDFs/internal docs
- Improved retrieval accuracy via adaptive chunking and embedding/chunk optimization
- Reduced document search time from minutes to seconds (measurable impact)
- Low-latency serving through caching and async request handling
- End-to-end deployment skills: FastAPI backend, Dockerized services, Streamlit UI
- Strong agent/workflow reliability practices: deterministic steps, fallbacks, unit + stress testing
- Metrics-driven evaluation (accuracy, success rate, latency, tool-call correctness) with step-level logging
- Model/retrieval/prompt selection via benchmarking against requirements (accuracy/speed/context/cost)
- Effective collaboration with non-technical stakeholders; translated requirements and delivered usable UI/prototypes
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