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AizazSharif/README.md

Aizaz Sharif

πŸ‘¨β€πŸ’» Senior Machine Learning Engineer & AI Specialist

Computer Science Major, AI Engineer, and Researcher in Oslo, Norway.

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πŸš€ About Me

I'm a Senior Machine Learning Engineer with 8+ years of experience in AI, data science, and software engineering. Currently working at AI Dev Lab, focusing on production-ready LLM-powered platforms and autonomous systems research.

  • πŸ”­ I'm currently building LLM-powered platforms for processing meeting recordings and custom RAG solutions
  • 🌱 I'm exploring advanced LLM architectures and autonomous systems
  • πŸ’‘ I specialize in reinforcement learning, LLM technologies, and autonomous vehicle safety
  • πŸ“š PhD in Computer Science with focus on testing autonomous systems in multi-agent environments

πŸ› οΈ Technologies & Tools

Python | TensorFlow | PyTorch | Keras | LangChain | LangGraph | Pinecone | Ray RLlib | Reinforcement Learning | Computer Vision | Neural Networks | Docker | GCP

πŸ’Ό Work Experience

AI Dev Lab (11/2024 - Present)

Senior Machine Learning Engineer

  • Implementing production-ready LLM platforms for meeting analytics using LangChain, LangGraph, and Pinecone
  • Developing robust backend infrastructure with Python, Firebase, and GCP services
  • Managing end-to-end ML/LLM development lifecycle from prototyping to production

Simula Research Laboratory (02/2020 - 03/2024)

Researcher & Developer

  • Conducted research on testing safety and robustness of autonomous cars in multi-agent environments
  • Created open-source platforms for testing multi-agent autonomous driving systems
  • Developed novel approaches in adversarial reinforcement learning and reward modeling

Previous Experience

  • CogniMindAI (12/2023 - 02/2024): Machine Learning Engineer
  • NCCS (02/2019 - 01/2020): Team Lead
  • FAST NUCES (09/2017 - 02/2019): Research Assistant
  • DCUBE Technologies (04/2017 - 06/2017): Software Engineer
  • Techlogix (10/2016 - 04/2017): Software Engineer

πŸ’ͺ Skills

AI & ML Engineering

  • LLM Technologies: OpenAI, Hugging Face, Ollama, LangChain, LangGraph, Pinecone
  • ML Libraries: TensorFlow, Keras, PyTorch, Ray RLlib, OpenAI Gym
  • AI Architectures: Transformers, LLMs, RL, CNNs, GANs, LSTMs

Programming & Tools

  • Languages: Python, Bash, C/C++, HTML/CSS/JavaScript
  • Data Science: NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly
  • Cloud & Deployment: GCP, Docker, MongoDB, SQLite, Postgres, Firestore
  • Web Frameworks: Streamlit, Flask, FASTAPI

πŸ“Š GitHub Stats

GitHub Stats

GitHub Streak

πŸ’» Company GitHub Contributions

While many of my contributions are in private company repositories, I remain an active developer:

49 contributions in the last year - Company GitHub Activity

49 contributions in the last year to company projects, primarily focused on developing LLM-powered platforms and AI solutions. My work includes LangChain implementations, custom RAG solutions, and backend infrastructure development.


πŸ“« How to reach me:


⭐️ From AizazSharif

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  1. T3AS/ReMAV Public

    Implementation of "ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events".

    Jupyter Notebook 4 1

  2. T3AS/MAD-ARL Public

    Python project for the paper "Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies".

    Python 10 2

  3. T3AS/DeepOrder-ICSME21 Public

    Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

    Jupyter Notebook 17 10

  4. T3AS/Benchmarking-QRS-2022 Public

    Implementation of "Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-Agent Urban Driving Environment".

    Python 5 1

  5. Handwriting-Generation-Using-Recurrent-Neural-Networks Public

    Pytorch Implementation of Conditional + Unconditional Handwriting

    Jupyter Notebook 3 1

  6. Brain-Tumor-Segmentation-and-Localization-using-Deep-Learning Public

    Python