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muk0644/README.md

๐Ÿ‘‹ Hi, I'm Muhammad Shariq Khan

AI Engineer | M.Eng. in AI Engineering for Autonomous Systems
Specializing in Large Language Models, Computer Vision & Autonomous Systems

LinkedIn Email GitHub


๐Ÿ’ก About Me

I'm an AI Engineer with expertise in LLMs, Deep Learning, Computer Vision, and Machine Learning. I love building intelligent systems that solve real-world problems and pushing the boundaries of what's possible with AI.

๐ŸŽ“ Currently pursuing M.Eng. in AI Engineering for Autonomous Systems
๐Ÿ’ผ Experience in LLMs, Data Engineering, and Predictive Analytics
๐ŸŒฑ Always learning and exploring new technologies in AI and ML
๐Ÿ“ Based in Germany | Fluent in English & German (C1)

๐Ÿš€ What I Do

  • ๐Ÿค– AI & Machine Learning: Building and fine-tuning neural networks, working with LLMs and transformer models
  • ๐Ÿ“Š Data Science: Data pipeline development, statistical analysis, and visualization
  • ๐Ÿš— Computer Vision: Object detection, scene understanding, and autonomous systems
  • ๐Ÿง  Deep Learning: PyTorch, TensorFlow, Reinforcement Learning (Q-Learning, DQN)
  • โš™๏ธ Engineering: Automation, production-ready ML systems, deployment, and automation using GitHub Actions using CI/CD and MLOps and LLMOps

๐Ÿ› ๏ธ Tech Stack

Languages & Frameworks:

Python PyTorch TensorFlow CUDA Scikit-Learn Keras HuggingFace LangChain SmolAgents OpenCV Gymnasium Tool_Calling Pygame

Data & Analytics:

NumPy Pandas Matplotlib Seaborn Power BI

Tools & Technologies:

Git Docker Linux AWS GCP Streamlit Hugging Face Spaces ROS2 Jupyter VS Code MySQL SQLite Bash MongoDB PostgreSQL ChromaDB APIs Kubernetes CI%2FCD

IDEs & Development Tools:

GitHub Copilot Cursor Google Antigravity


๐Ÿง  Neural Network Architectures & AI Models

Deep Learning Architectures:

  • ๐Ÿ”ท CNNs (Convolutional Neural Networks) - Image processing & computer vision
  • ๐Ÿ” RNNs (Recurrent Neural Networks) - Sequential data & time series
  • ๐Ÿ”„ LSTMs (Long Short-Term Memory) - Long-term dependencies & memory
  • โšก Transformers & Attention Mechanisms - State-of-the-art sequence modeling

Advanced AI Models:

  • ๐Ÿค– LLMs (Large Language Models) - Text generation & understanding
  • ๐Ÿ‘๏ธ VLMs (Vision-Language Models) - Multimodal understanding
  • ๐ŸŽฏ RL Agents (Q-Learning, DQN) - Decision-making systems
  • ๐Ÿ” Agentic AI - Multi-step reasoning and autonomous agent systems

๐ŸŽฏ Areas of Expertise

skills = {
    "AI & ML": ["Deep Learning", "Neural Networks", "LLMs", "Computer Vision", "NLP"],
    "Frameworks": ["PyTorch", "TensorFlow", "Keras", "Transformers", "LangChain", "SmolAgents", "OpenCV"],
    "Data Science": ["Data Analysis", "Statistical Modeling", "Feature Engineering"],
    "MLOps": ["Model Training", "Model Validation", "Model Evaluation", "Model Deployment", "Optimization"],
    "Tools": ["Git", "Docker", "Linux", "Jupyter", "Power BI", "ROS2"]
}

๐Ÿ“ˆ Featured Work

๐Ÿค– Multimodal LLM Fine-tuning

Specialized in fine-tuning large language models using parameter-efficient techniques (LoRA/PEFT) for computer vision tasks, achieving significant performance improvements over baseline models.

๐ŸŽฎ Reinforcement Learning

Developed custom environments and implemented RL algorithms including Q-Learning and Deep Q-Networks (DQN) for autonomous agent training and decision-making systems.

๐Ÿ“Š Data Engineering & Analytics

Built automated data pipelines and KPI dashboards that improved operational efficiency. Expertise in processing large-scale datasets and extracting actionable insights.

๐Ÿšฆ Traffic & Transportation AI

Applied deep learning to urban traffic analysis and autonomous driving perception tasks, working with sensor fusion and time-series prediction.

๐Ÿ  California Housing Price Predictor

Built end-to-end ML pipeline with scikit-learn for housing price prediction, achieving Test RMSE of $48,749 with Random Forest and comprehensive hyperparameter optimization.

๐Ÿšฆ Deep RL Traffic Signal Control

Implemented Deep Q-Network (DQN) integrated with SUMO traffic simulator for intelligent traffic light optimization, trained over 500 episodes with stable convergence.


๐Ÿ’ผ Experience Highlights

โœจ AI Research & Development - Working with cutting-edge LLMs and multimodal models
โœจ Data Engineering - Building robust pipelines for production ML systems
โœจ Predictive Analytics - Condition-based maintenance and reliability optimization
โœจ Automation - Creating automated reporting systems and workflows


๐Ÿ“š Continuous Learning

I'm passionate about staying at the forefront of AI technology:

  • ๐Ÿ“– Exploring latest research in LLMs and transformer architectures
  • ๐Ÿงช Experimenting with new ML frameworks and tools
  • ๐Ÿค Contributing to open-source projects
  • ๐Ÿ’ก Sharing knowledge and learning from the community

๐Ÿค Let's Connect!

I'm always interested in:

  • ๐Ÿ’ฌ Discussing AI, ML, and Data Science projects
  • ๐Ÿค Collaborating on innovative solutions
  • ๐Ÿ“š Sharing knowledge and experiences
  • ๐ŸŒŸ Exploring new opportunities

Reach out to me:


๐Ÿ“Š GitHub Stats

GitHub Stats

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๐Ÿ’ก "Transforming data into intelligence, one model at a time."

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