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πŸ”„
Rinse & Repeat!
πŸ”„
Rinse & Repeat!
  • Rice University
  • Houston
  • 15:38 (UTC -04:00)

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nikhil-chigali/README.md

πŸ’« About Me

Data Scientist & ML Engineer Bridging the gap between high-scale data systems and resource-constrained Edge AI.

  • πŸ”­ Current: Building real-time monitoring & anomaly detection for 12M+ devices at Verizon.
  • πŸš€ Recent: Published SWiM, an instance segmentation benchmark for spacecraft (arXiv:2507.10775).
  • 🧠 Interests: Efficient Deep Learning (PEFT/LoRA), Onboard Computer Vision, and LLM Productionalization.
  • 🏒 Alum: Ex-Microsoft Technical Program Management.
  • πŸ’¬ Ask me about: Model optimization for hardware constraints and MLOps at scale.

πŸ›  Tech Stack

AI & Machine Learning PyTorch YOLOv11 Scikit-Learn HuggingFace OpenCV

Data & MLOps SQL MLFlow Airflow Docker Kubernetes ONNX

Cloud & Hardware Azure AWS Raspberry Pi Linux

🌐 Connect with me

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  1. AdapterBERT AdapterBERT Public

    This project is an implementation of the paper: Parameter-Efficient Transfer Learning for NLP, Houlsby [Google], ICML 2019.

    Python

  2. Low-Rank-Adaptation-of-LLMs Low-Rank-Adaptation-of-LLMs Public

    This repository is an implementation of the paper - LoRA: Low-Rank Adaptation of Large Language Models by E. J. Hu et al, 2021.

    Jupyter Notebook

  3. seep_detection seep_detection Public

    Deep Convolutional Neural Network (DCNN) model for detecting and segmenting oil seeps in synthetic aperture radar (SAR) images

    Jupyter Notebook

  4. RiceD2KLab/SWiM RiceD2KLab/SWiM Public

    Jupyter Notebook 9 1