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Mogankumar/README.md

Hi 👋 I'm Mogankumar Narsozhan

🧠 About Me

I'm an AI/ML Engineer passionate about multimodal systems, automation, vision models, and building end-to-end ML pipelines.

🚀 What I'm Up To

  • Building AI agents & multimodal applications
  • Exploring Vision + LLM systems
  • Designing real-time ML pipelines and search systems

📫 Connect With Me


🛠 Tech Stack

C PowerShell Python Bash Script OpenCV MySQL Postgres PyTorch TensorFlow Adobe GitHub Docker AWS FastAPI

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  1. Semantic-Caching-Layer-for-LLM-API-s Semantic-Caching-Layer-for-LLM-API-s Public

    This is a middleware proxy service that sits between our application and any LLM provider (OpenAI, Anthropic, etc.). Instead of sending every request to the expensive LLM API, it first checks wheth…

    Python

  2. Self-Healing-Technical-Documentation Self-Healing-Technical-Documentation Public

    At its core, this is a documentation drift detection and repair system that lives inside our CI/CD pipeline. The fundamental problem it solves is one of temporal decay: code evolves continuously th…

    Python

  3. Autoencoders-for-Anomaly-Detection Autoencoders-for-Anomaly-Detection Public

    Built an LSTM-based autoencoder for unsupervised anomaly detection on AWS EC2 CPU metrics. Trained exclusively on normal behaviour, the model flags anomalies via reconstruction error spikes. Achiev…

    Jupyter Notebook

  4. Neural-Networks-and-CNN Neural-Networks-and-CNN Public

    This project focuses on building fully connected neural networks (NN) and convolutional neural networks (CNN).

    Jupyter Notebook

  5. Facial-Recognition Facial-Recognition Public

    A Python-based facial recognition system using OpenCV's Haar Cascades for face/eye detection and a trained model for identification, managed via JSON mappings.

    Jupyter Notebook

  6. Reinforcement-Learning Reinforcement-Learning Public

    Creating an RL environment for the agent to navigate

    Jupyter Notebook 1