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Yash Sanap

Junior Data Scientist specializing in ML, geospatial analytics, and LLM applications

Virginia Beach, VAData Science Intern2 years experienceJuniorGovernmentInformation TechnologyData & Analytics
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About

Built and deployed a production AI “term explainer” agent that adapts explanations to beginner/intermediate/expert users by combining multi-step LLM reasoning with grounded Wikipedia retrieval. Owns end-to-end agent orchestration (smolagents/Python), reliability patterns (fallback across LLM providers, retries, guardrails), and observability/metrics-driven evaluation; also partnered with a non-technical researcher to deliver a plain-language research assistant agent.

Experience

Data Science InternCity of Virginia Beach IT
Data ScientistCapgemini Technology Services

Education

George Mason Universitymaster, Computer Science (2026)
Mumbai Universitybachelor, Computer Engineering (2022)

Key Strengths

  • Built and deployed a production LLM agent with tool augmentation and grounded retrieval (Wikipedia API)
  • Designed robust orchestration with multi-step flows, tool calls, retries, and multi-provider fallback
  • Strong focus on reliability via guardrails (bounded context, strict tool contracts, max steps) and systematic testing
  • Metrics-driven evaluation and debugging using observability, traces, and logs (success rate, latency, cost)
  • Ability to tailor outputs to different user expertise levels via controlled context and re-synthesis
  • Effective collaboration with non-technical stakeholders to translate needs into usable AI workflows (research assistant agent)

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Languages

English

Skills

PythonSQLJavaGoBashJavaScriptTensorFlowPyTorchXGBoostScikit-learnTransformersLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)YOLOv11SAMv2