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dhingratul/README.md

AI Engineering Leader | Generative AI & Computer Vision | Edge Systems

I build cutting-edge AI systems at the intersection of vision, language, and autonomy that scale to production.

🚀 Experience

  • Staff ML Engineer @ PayPal - Leading Generative AI adoption and LLM lifecycle management
  • Engineering Manager @ Standard AI - Scaled autonomous checkout from 2 to 40+ stores
  • Perception Engineer @ NIO - Designed edge compute systems for L4 autonomous vehicles
  • ML Engineer @ Otsuka Digital Health - Enhanced medical claims prediction using Deep Learning

💡 Expertise

  • Generative AI & LLM systems
  • Computer Vision & Perception
  • Edge AI optimization
  • Autonomous systems development
  • Healthcare analytics

🔗 Connect

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  1. Model-Compression Public

    Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.

    Jupyter Notebook 4 2

  2. Stock-Price-Prediction Public

    Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016

    Python 145 52

  3. in-rolls/electoral_rolls Public

    PDFs of Indian Electoral Rolls

    HTML 22 15

  4. Face-Recognition-Algorithms Public

    Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset

    MATLAB 19 10

  5. scene-clustering Public

    Clustering scenes

    Python 3 2

  6. generative-ai-with-llm Public

    Various PoC/MvP for different libraries and use-cases supporting Generative AI workflows.

    Jupyter Notebook

502 contributions in the last year

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Activity overview

Contributed to dhingratul/dhingratul.com, dhingratul/pdfhextractor, matmulai/loogy and 15 other repositories
Loading A graph representing dhingratul's contributions from April 21, 2024 to April 22, 2025. The contributions are 99% commits, 1% pull requests, 0% issues, 0% code review.

Contribution activity

April 2025

8 contributions in private repositories Apr 1 – Apr 21
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