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adarsh9780/README.md

Adarsh Maurya

Assistant Vice President | Applied AI/ML Engineer at JPMorgan Chase

I am an AI/ML Engineer with seven years of professional experience, including over two years focused on Generative AI, Agentic systems, and Large Language Models (LLMs). My work involves designing and deploying end-to-end machine learning solutions, ranging from multi-agent reasoning pipelines to production-grade analytics systems.

Currently, I am developing Inquira CE, an open-source desktop application designed for agentic data analysis.


Core Expertise

  • Generative AI & Agents: LangGraph, LangChain, RAG architectures, and multi-agent system design.
  • Machine Learning Engineering: NLP, predictive modeling, model fine-tuning, and evaluation frameworks (LangFuse, Arize Phoenix).
  • Software Development: Python, FastAPI, SQL (DuckDB/SQLite), and Front-end development (React/Vue).
  • Data Engineering: Scalable ETL pipelines, big data processing, and automated reporting systems.

Active Project: Inquira CE

Inquira is a local-first, desktop-driven AI data assistant designed to let users run complex data analysis pipelines on their own machines.

  • Reasoning Engine: Built on a LangGraph-powered multi-agent pipeline that autonomously generates and executes Python scripts.
  • Local Execution: Utilizes a bundled Jupyter kernel for secure, zero-cloud data processing.
  • Performance: Integrates DuckDB for high-speed processing of Parquet, CSV, and Excel files, combined with AG Grid for streaming large datasets.
  • Infrastructure: Supported by a FastAPI backend and a modular frontend architecture.

Professional Background

  • JPMorgan Chase & Co. (Applied AI/ML): Architecting RAG systems for market intelligence and developing high-precision classifiers to filter enterprise-scale data.
  • JPMorgan Chase & Co. (Strategy Analytics): Engineered automated ML frameworks for impact assessment and scalable ETL pipelines that improved processing speeds by 80%.
  • Mu Sigma Inc. (Decision Science): Developed predictive models for portfolio performance and early-stage computer vision solutions for data extraction.

Education & Interests

  • B.Tech in Instrumentation & Control Engineering | NIT Jalandhar (2014-2018)
  • Interests: Outside of engineering, I watch lot of animes and enjoy playing badminton, cricket, and board games.

Contact: LinkedIn | Documentation


Pinned Loading

  1. inquira-ce inquira-ce Public

    Inquira is a local-first desktop AI workspace for private data analysis. Built on DuckDB and LangGraph, it combines natural language reasoning with native Python execution for secure, near-instant …

    Python

  2. safe-py-runner safe-py-runner Public

    A lightweight, Python code runner designed for giving LLM agents code execution capabilities in your POC

    Python 2 2