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mohakapoor/readme.md

Mohak Kapoor

Backend and AI Engineer. mohakapoor.in · LinkedIn

  • Built CodeAtlas — an agentic RAG engine that indexes an entire GitHub portfolio by topic, with hybrid retrieval (dense + BM25 + cross-encoder reranking) and a dual-agent LLM-as-judge eval framework. Context recall 0.48 → 0.83.

  • Built METR — a quant meta-labeling research framework on 3,400+ days of multi-asset Indian market data. Sharpe 1.48, validated at p<0.05 across 10k Monte Carlo simulations.

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  1. METR METR Public

    METR is a controlled empirical study designed to investigate whether structured machine learning models can outperform pure randomness in short-term asset allocation.

    Jupyter Notebook 1

  2. CaptchaOCR CaptchaOCR Public

    A PyTorch-based CAPTCHA recognition system using synthetic data generation and CTC-based sequence modeling. Built with deep learning techniques, achieving high accuracy on complex text recognition …

    Python 1

  3. Network_Anomaly_Detection_CICIDS2017 Network_Anomaly_Detection_CICIDS2017 Public

    A machine learning pipeline for detecting network anomalies and cyber attacks using the CICIDS2017 dataset.

    Jupyter Notebook

  4. CodeAtlas CodeAtlas Public

    Python