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Anu13lol/README.md

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ML & Electronics Engineer

About Me

  • College: Faculty of Technology, University of Delhi
  • Current Role: 2nd Year B.Tech in ECE (VLSI Specialization).
  • Core Focus: Operating at the intersection of Hardware and AI. My current priority is geared toward ML Engineering roles, building practical, scalable models while maintaining a strong foundation in edge hardware.
  • Goal: Designing AI chips and hardware accelerators to make AI run faster and cheaper.

Tech Stack

My Skills

Research & Projects

  • XAI in Cardiology: Co-authored "The Transparent Heart," focusing on Explainable AI and Time Series Analysis (LSTM) for patient monitoring.
  • Wearable Biosensor: Engineered a real-time ECG/PPG biosensor using a Raspberry Pi, handling signal noise and system latency.
  • Smart Traffic Control: Built a CV-powered traffic light system running on a Raspberry Pi 5.
  • NetViz: A Neural Network visualizer for ML models (Python).

Connect with me

Employer?

Important

Download my resume to see my full project portfolio and research publications.

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  1. sentinelRAG sentinelRAG Public

    A safeguard for Enterprise's AI

    Python 1

  2. Real-Time-AI-Biosensor Real-Time-AI-Biosensor Public

    Edge computing biosensor capturing I2C ECG/PPG data and executing local TensorFlow LSTM predictions for time-series signal analysis.

    Python 1

  3. netviz netviz Public

    A Neural Network Visualizer for Machine Learning Models.

    Python 2

  4. xor-neural-network xor-neural-network Public

    One night build project. Neural network for a simple XOR network from scratch by building the Library in C and utilizing in Python

    C 2

  5. VerifAI VerifAI Public

    Sports Broadcasting Threat Tracker with Gemini AI

    Python 2