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Ngambarde/README.md

Nicholas Gambardella | Machine Learning Engineer

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πŸ‘‹ About Me

By day I’m a Systems Engineer; by night (and most early mornings) I spend 25–30 extra hours a week experimenting with ML frameworks, reading new papers, and pushing projects from prototype to containerized deployment. I am finishing an M.S. in ECE, and I’m eager to bring this momentum to a team where applied machine learning is the core mission.


πŸš€ My Tech Stack

This is a snapshot of the tools and technologies I work with. I'm always learning and expanding this list!

Category Technologies
Languages & Data Python SQL C++ R pandas NumPy
ML / GenAI / CV PyTorch Scikit-learn TensorFlow LangChain Hugging Face YOLOv8 OpenCV SAM2 TensorRT
CI/CD & Automation Git GitHub GitHub Actions
Cloud & Provisioning GCP (Cloud Run, GCS, Artifact Registry, Secret Manager AWS (S3, SageMaker) Terraform Docker
Frameworks & Testing FastAPI pytest flake8 black CometML

πŸ“Œ Pinned Projects

Here are a couple of projects I'm proud of. They showcase my journey from data ingestion and model training to deployment.

Project Description Tech Stack
🧠 Intelligent Knowledge-Retrieval (RAG) System An end-to-end MLOps Project for a RAG system.Features include a complete CI/CD pipeline with GitHub Actions for automated testing and image publishing. The entire cloud infrastructure, including a serverless API on Google Cloud Run, is defines and deployed using Terraform. Terraform GCP GitHub Actions Docker FastAPI LangChaing FAISS unstructured
🎯 Aim-Trainer Performance Analyzer An end-to-end Computer Vision system that analyzes gameplay footage. Features a custom-trained YOLOv8 model (98% mAP) and a custom semi-automated data labeling pipeline using a hybrid model system (YOLOv8 and SAM2). YOLOv8 OpenCV PaddleOCR PyTorch SAM2

🌱 Open Source Contributions

I believe in building in public and contributing back to the community. I'm an active contributor to:

  • πŸ’ͺ MLGym: | Contributed an additional task to Metas MLGym framework (kaggle titanic survival task), an experimental framework that provides a gym environment intended to benchmark AI agents in a variety of ML/data science tasks

πŸ“« Get In Touch

I'm always open to connecting with other developers, researchers, and potential collaborators. Feel free to reach out!

Pinned Loading

  1. aim_trainer_analysis aim_trainer_analysis Public

    This project analyzes gameplay videos from aim training software to extract detailed performance metrics.

    Python 2

  2. facebookresearch/MLGym facebookresearch/MLGym Public

    MLGym A New Framework and Benchmark for Advancing AI Research Agents

    Python 581 57