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Atharv D

Atharv D

Applied AI Engineer with production experience building LLM applications, RAG systems, computer vision pipelines, and AI evaluation workflows

Talent
NagpurMember since June 9, 2026
PythonSQLRAGMulti-Agent SystemsComputer VisionAI EvaluationPyTorchFastAPIPostgreSQLChromaDBFirestoreMl Engineer
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PythonSQLRAGMulti-Agent SystemsComputer Vision

About

Applied AI Engineer with production experience building LLM applications, RAG systems, computer vision pipelines, and AI evaluation workflows. Shipped a privately deployed AI finance bot at Planitt Solution, evaluated AI agent benchmarks and RL environments at Scaler AI Lab, and stress-tested Google DeepMind's Jules as an invite-only trusted tester.

Experience

AI Engineer Intern at Planitt Solution Pvt Ltd (2026-03 – 2026-07)

  • Built a privately deployed AI finance chatbot using Groq-hosted Llama 70B and FastAPI, integrating proprietary financial analytics with supporting external data exposure.
  • Engineered a RAG pipeline over internal financial datasets using ChromaDB and PostgreSQL; built an MCP server to scrape stock news and aggregate live market context for the chatbot.
  • Developed a custom NSE data integration layer after TradingView SDK lacked Indian market support, serving live stock data to the trading dashboard via company-hosted APIs.

AI Evaluation Contractor at Scaler AI Lab (2025-11 – Present)

  • Tested high-fidelity RL environments simulating enterprise developer workflows (Jira, Linear) to evaluate and benchmark AI coding agents across multiple contract engagements.
  • Contributed to AI evaluation tasks including dataset curation, validation, and project-specific data processing pipelines to support AI agent training and assessment.

Trusted Tester - Jules, Autonomous AI Coding Agent at Google Jules (2026-05 – Present)

  • Selected via application for an invite-only program; evaluated repository reasoning, context ingestion, task execution, and code generation quality – submitted structured feedback across explainability, notifications, and context handling.

Education

B.Tech in Computer Science (Artificial Intelligence) – JD College of Engineering and Management (JDCOEM) (2023 – 2027)

Skills

RAG systemscomputer vision pipelinesand AI evaluation workflows

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