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nileshgarg-tech/README.md

Nilesh Garg

Physics · University of Houston · Class of 2028

LinkedIn X

Computational intern at Aiden Lab (genomics and computational biology).
Building Project Surveyor and attending IBM's Qiskit Global Summer School 2026.

I build AI agent systems: multi-agent architectures, search systems, and research tools. Deployed a live product (CraftPatent) and worked on applications in patent law, agriculture, and scientific research.

Selected Projects

Project Description Stack
CraftPatent Live multi-agent patent analysis platform. Three AI agents coordinate to produce USPTO-compliant novelty assessments in under 60 seconds. Next.js · Google ADK · Vertex AI
Aletheia Research agent mapping topics against arXiv literature to identify research gaps. Custom MCP server for tool-augmented retrieval. Python · MCP · arXiv API
Agri Agent Natural language interface for agricultural datasets. Intent classification and structured data operations. Python · LangChain · watsonx
UH Credit Transfer Transcripts (PDF) or AP scores evaluation tool showing course equivalencies. Azure Document Intelligence · GPT-4
Surveyor Autonomous codebase intelligence agent. Analyzes and reasons about entire repositories. Python · AI Agents

Technologies

LangChain · Google ADK · watsonx · Model Context Protocol · Pandas · NumPy · PyTorch

Metrics

  

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  1. agri_agent_ibm_watsonx agri_agent_ibm_watsonx Public

    Intent-based AI agent using LangChain + IBM WatsonX (Granite models) for agricultural data management and natural language queries.

    Python

  2. craftpatent craftpatent Public

    Modern patent drafting and quality assessment platform. Streamlines patent application creation with intelligent automation and predictive quality scoring.

    Python

  3. mortgage-ai-document-intelligence mortgage-ai-document-intelligence Public

    Making messy, complex documents readable, searchable, and useful — one project at a time.

    Jupyter Notebook

  4. House-Price-Prediction House-Price-Prediction Public

    A refined linear regression framework targeting California real estate, focusing on data integrity and the impact of engineered temporal and spatial features.

    Jupyter Notebook

  5. New-York-City-Requests-data-Analysis- New-York-City-Requests-data-Analysis- Public

    Quantifying urban service efficiency: A statistical deep-dive into NYC 311 request data to isolate factors affecting complaint closing rates and departmental delays.

    Jupyter Notebook

  6. Guess_The_Number Guess_The_Number Public

    This Python script is a "Guess the Number" game where players attempt to guess a randomly generated number between 1 and 100 in as few guesses as possible, receiving feedback after each attempt.

    Python