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mirabdullahyaser/README.md

πŸ‘‹ Hi, I’m Abdullah

Senior Artificial Intelligence Engineer
Specializing in LLMs, Generative AI, and High-Performance Computing (HPC)

LinkedIn Email GitHub


πŸš€ About Me

I’m an AI Engineer passionate about scaling intelligent systems through cutting-edge technologies like:

  • Large Language Models (LLMs) - Fine-tuning, RAG, and deployment.
  • Generative AI - Building tools for finance, engineering, and productivity.
  • HPC & Edge AI - Optimizing workflows for real-time simulations and hardware (NVIDIA Jetson, Raspberry Pi).

"Turning complex problems into elegant AI solutions – whether it’s answering engineering queries with a FEM Support Bot or predicting ballistic trajectories."


πŸ› οΈ Technical Arsenal

AI/ML Frameworks & Tools

CrewAI Unsloth AI PyTorch TensorFlow HuggingFace LangChain OpenAI Pinecone Scikit-Learn NLTK spaCy OpenCV

Programming & Cloud
Python C++ AWS SageMaker IBM Cloud GCP Docker Git Github Actions

Data & Visualization Apache Airflow PySpark Pandas NumPy Streamlit Plotly Apache Echarts Dash RAPIDS Matplotlib Seaborn


🌟 Fun Fact

Built a Proxy Policy Optimization (PPO) model for a quadruped robot’s balance and propulsion system at Pakistan Air Force R&D – because even robots need core strength!


πŸ“Š GitHub Stats

GitHub Stats

Top Langs


πŸš€ Featured Projects

1. LLaMa3 Financial Analyst

Code

Tech Stack: LLaMA3 LoRA RAG Unsloth AI LangChain Hugging Face

  • Fine-tuned LLaMA-3 using LoRA for financial analysis.
  • Built a RAG pipeline over SEC 10-K filings to answer investor queries.
  • Impact: Reduced research time by 60% for financial analysts.

2. AI Locater (AI Tool Search Engine)

Deployed

Tech Stack: LLMs Vector Embeddings Pinecone

  • Semantic search engine for AI tools using vector similarity.
  • Accuracy: 85% precision in matching user queries to tools.

πŸ“ˆ Metrics & Impact

  • 90% efficiency gain in material classification workflows for BMW.
  • 75% time saved in LS-DYNA crash model QA pipelines.
  • 85% accuracy in predicting ballistic projectile time-of-flight (PAF R&D).
  • 500+ users onboarded onto the BMW HPC Dashboard.
  • 30% faster simulation analysis with clustering models.

πŸ”­ Currently Learning & Building

  • Exploring Multi-Modal Generative AI for text and image to text translation.
  • Integrating LLMs in dynamic dashboards for real-time KPI monitoring.**

πŸŽ₯ Project Demos

Project Demo Link
AI Locater Live
RAG Engine Live Streamlit App

🀝 Let’s Collaborate!

I’m always open to:

  • Research partnerships in generative AI and LLMs.
  • Consulting for AI-driven engineering solutions.
  • Speaking engagements on HPC and LLM fine-tuning.

πŸ“« Reach out:

Email
LinkedIn

Popular repositories Loading

  1. Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit Public

    Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making i…

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  2. Summarizing-Youtube-Videos-with-OpenAI-Whisper-and-GPT-3 Summarizing-Youtube-Videos-with-OpenAI-Whisper-and-GPT-3 Public

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  3. Fine-Tuning-GPT-3-for-Amazon-Support-Chatbot Fine-Tuning-GPT-3-for-Amazon-Support-Chatbot Public

    Building a GPT-3 powered Amazon Support Bot for precise customer query responses via fine-tuned model on Amazon QA data

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  4. TicketCopilot TicketCopilot Public

    This repository implements RAG using langchain for to support on-call Product Managers for managing support Tickets

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  5. Text-Improvement-Engine Text-Improvement-Engine Public

    A tool that analyses a given text and suggests improvements based on the similarity to a list of "standardized" phrases using LLMs

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  6. LLaMA3-Financial-Analyst LLaMA3-Financial-Analyst Public

    LLM-powered financial analyst using LoRA-tuned Llama-3 and RAG pipeline to answer complex queries over SEC 10-K filings with contextual accuracy.

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