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Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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anudeepadi/README.md
Anudeep Adiraju — AI engineer and product builder in Austin, Texas. Context, memory, tools and evaluations.

I build retrieval systems, agent tools, and the applications around them. My work connects models to persistent data, useful interfaces, and evaluations you can inspect.

Visit my portfolio   /   Connect on LinkedIn

My toolkit

Python   TypeScript   C++   React   FastAPI   MCP

Selected work

ContextOS — Organizational memory. Documents connected to retrieval and MCP tools.

Document retrieval and conversation memory for AI assistants, exposed through MCP and FastAPI. Includes a runnable, provider-free walkthrough.

Explore ContextOS   /   Read the walkthrough

Quitxt Eval — Retrieval research. Retrieve, answer, evaluate.

Research code for evaluating retrieval, answer quality, and latency in smoking-cessation question answering. Try the synthetic example; study data is supplied separately.

Explore Quitxt Eval   /   See the synthetic example

UGC Forge — Campaign planning. Brief, scripts, review.

A campaign-planning prototype that turns a brief into sample scripts and a review queue. Explore the workflow in the browser demo.

Explore UGC Forge   /   Open the demo

Also on my workbench

Project What you'll find
Web Extract API Multi-engine web extraction with streaming progress.
Delivery Workbench Delivery planning, KPI calculators, risk tracking, and persistent drafts.
LSTM from Scratch in C++ An educational recurrent network using the standard library.

Interested in building something together? Let's connect.

Pinned Loading

  1. personal-brain-mcp personal-brain-mcp Public

    ContextOS — document retrieval and conversation memory for AI workflows. MCP server, FastAPI, Google embeddings, and Pinecone. Keep the thread.

    Python 4

  2. quit-txt-rag-eval quit-txt-rag-eval Public

    RAG evaluation and statistical analysis for smoking-cessation question answering. Research code; study data supplied separately.

    Python

  3. ugc-forge ugc-forge Public

    Campaign-planning prototype that turns a brief into sample scripts and a review queue, with a React demo and FastAPI backend.

    TypeScript

  4. web-extract-api web-extract-api Public

    Multi-engine web extraction API with cleaned content output, browser adapters and streaming progress.

    HTML

  5. delivery-workbench delivery-workbench Public

    Delivery planning workspace with KPI calculators, risk tracking, persistent drafts and streaming AI chat.

    TypeScript

  6. lstm-from-scratch-cpp lstm-from-scratch-cpp Public

    Educational LSTM in standard C++ with a sine-wave training example and implementation notes.

    C++ 1