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FunctionFlow1/README.md

Hi there, I'm Alexander J. Sterling πŸ‘‹

Senior AI/ML Engineer | Specialized in LLMs, Computer Vision & MLOps | Building Scalable Neural Architectures | Open Source Contributor


πŸ‘¨β€πŸ’» About Me

I am a results-driven Senior AI/ML Engineer with over 8 years of experience in designing, developing, and deploying state-of-the-art machine learning models. My passion lies in creating intelligent systems that solve complex real-world problems, with a particular focus on:

  • Large Language Models (LLMs): Fine-tuning, quantization, and efficient deployment for edge devices.
  • Computer Vision: Real-time object detection, tracking, and industrial safety applications.
  • MLOps: Building robust CI/CD pipelines for automated model training, testing, and deployment.
  • Deep Learning Frameworks: Developing high-performance, lightweight neural network architectures.

I am a strong advocate for open-source software and actively contribute to the AI community.


πŸ› οΈ Tech Stack

Category Technologies
Languages Python, C++, Rust, TypeScript, SQL
AI/ML Frameworks PyTorch, TensorFlow, Scikit-learn, Keras, JAX
Computer Vision OpenCV, MediaPipe, YOLO, Detectron2
NLP/LLMs Transformers (Hugging Face), LangChain, OpenAI API
MLOps & DevOps Docker, Kubernetes, MLflow, DVC, GitHub Actions
Cloud Platforms AWS (SageMaker, EC2, S3), GCP (Vertex AI), Azure
Databases PostgreSQL, MongoDB, Redis, Pinecone, Milvus

πŸš€ Featured Projects

  • NeuralFlow-Core: A high-performance, lightweight deep learning framework built in C++ and Python.
  • VisionGuard-Pro: An advanced real-time object detection and tracking system for industrial safety.
  • LLM-En-speed: A collection of tools for fine-tuning and quantizing Large Language Models for edge devices.
  • MLOps-Streamline: A production-ready CI/CD pipeline for machine learning models using Docker, Kubernetes, and MLflow.
  • DataSynth-Gen: A Python library for synthetic data generation with privacy-preserving techniques.
  • AI-Driven-FinTech: AI-powered financial solutions, including algorithmic trading and fraud detection.
  • Quantum-ML-Toolkit: An experimental toolkit exploring the intersection of quantum computing and machine learning.

πŸ“Š GitHub Stats

Alexander's GitHub Stats

Top Langs

GitHub Streak


πŸ“« Connect with Me


Let's build the future of AI together! πŸš€

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