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AmmarAhm3d/README.md

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Hi there, I'm Ammar Ahmed 👋

🚀 Deep Learning Artisan | Generative AI Architect

I'm a Data Scientist specializing in Agentic AI, RAG Systems, and Cloud-Native MLOps. I transform complex data challenges into intelligent, scalable solutions using cutting-edge AI technologies and modern cloud infrastructure.

  • 🎓 Education: BS in Data Science, FAST-NUCES Lahore (2021-2025)
  • 📍 Location: Lahore, Pakistan
  • 🌐 Portfolio: AmmarAhm3d.github.io
  • ☁️ Certifications:
    • ⭐ Ready Tensor Agentic AI Builder
    • ⭐ AWS Academy Graduate - Cloud Foundations
    • Python Developer Track (DataCamp)
    • Data Analysis Using Python (Credly)

🧠 Core Expertise

Agentic AI & Orchestration

LangChain RAG Multi Agent Vector DB

  • AI Agents & Multi-Agent Orchestration
  • Retrieval-Augmented Generation (RAG/GraphRAG)
  • LangGraph / CrewAI / AutoGen
  • Vector Databases & Stateful Workflows
  • Generative AI Systems

Cloud & FinOps Architecture

AWS Kubernetes Docker Terraform

  • AWS Architecture (S3, Redshift, DynamoDB)
  • Kubernetes MLOps & Container Orchestration
  • FinOps & Cloud Cost Optimization
  • Infrastructure as Code (Terraform)
  • CI/CD for Data Pipelines

Advanced Data & Modeling

PyTorch TensorFlow Scikit-learn

  • Stochastic Modeling & Bayesian Inference
  • Computer Vision (Pose Estimation)
  • Deep Learning (NLP, Generative Models)
  • Data Governance with dbt
  • ELT Architecture & Data Observability

📋 Programming Languages

Python R SQL C++


🛠️ Data Science & ML Tools

Hugging Face Numpy Pandas Jupyter Google Colab Keras OpenCV NLTK


🔎 Visualization & BI Tools

Tableau Power BI Streamlit Matplotlib Plotly


☁️ Cloud & Big Data Platforms

Azure DataBricks AmazonDynamoDB Amazon S3 Amazon Redshift Apache Spark Hadoop


🏆 Featured Projects

🎓 MiGrate-AI (Final Year Project)

AI-Powered Migration Assistant

  • Implemented multi-agent orchestration for intelligent migration planning
  • Integrated RAG systems with vector databases for contextual recommendations
  • Tech Stack: LangGraph, OpenAI, Vector DB, Streamlit
  • 🔗 Live Demo
  • Achieved 95.5% accuracy using Random Forest ensemble methods
  • Built interactive Tableau dashboards for player analytics
  • Tech Stack: Random Forest, ANN (TensorFlow), Tableau
  • Improved detection rates by 30% using ensemble ML techniques
  • Implemented Explainable AI (XAI) for model transparency
  • Tech Stack: Scikit-learn, XGBoost, SHAP
  • Natural language to SQL using GPT-3.5/4
  • Query optimization and validation pipeline
  • Tech Stack: OpenAI API, Python, PostgreSQL
  • 85% accuracy using Transformer models (BERT, RoBERTa)
  • Fine-tuned on medical domain datasets
  • Tech Stack: Hugging Face Transformers, PyTorch

💼 Professional Experience

Business Development Executive | Narsun Studios

Johar Town, Lahore | Jun 2023 - Feb 2024

  • Increased client acquisition by 15% through data-driven marketing strategies
  • Managed Sales, Marketing, and Client Relationship Management
  • Leveraged analytics for market trend identification

🎓 Education & Certifications

BS Data Science | FAST-NUCES, Lahore (2021-2025)

Key Courses: Generative AI, NLP, Deep Learning, Big Data Analytics, Data Mining

Certifications

  • Ready Tensor Agentic AI Builder (Verify)
  • AWS Academy Graduate - Cloud Foundations (Verify)
  • Data Analysis Using Python (Verify)
  • Python for Data Science (Verify)
  • Python Developer Track - DataCamp

🏅 Achievements

  • 🥇 Agentic AI Innovation Challenge 2025 (Ready Tensor Platform)
  • 🥈 Softec AI Competition 2022 (FAST-NUCES)

📈 GitHub Stats

Ammar's GitHub stats

Top Languages

trophy

GitHub Streak


🛣️ Learning Roadmap

roadmap.sh


🌐 Connect with Me

Portfolio LinkedIn GitHub Email


📧 Contact


💡 Interests

🤖 Agentic AI Systems | 🧠 Deep Learning | ☁️ Cloud Architecture | 📊 Data Visualization | 🎮 Gaming | 🧩 Problem Solving


Open to collaboration on AI/ML projects and cloud-native solutions!

Pinned Loading

  1. cv-ai-project-suite cv-ai-project-suite Public

    cv-ai-project-suite

    Jupyter Notebook 1

  2. deep-generative-models-gans-vaes deep-generative-models-gans-vaes Public

    Implementation of GANs and VAEs for image generation and anomaly detection using PyTorch

    Jupyter Notebook 1

  3. CCFD CCFD Public

    Jupyter Notebook 2

  4. Optimal-Cricket-Team-Prediction-ML-DL Optimal-Cricket-Team-Prediction-ML-DL Public

    A data-driven project leveraging Machine Learning and Deep Learning to predict the optimal cricket team composition based on historical player performance. Includes data preprocessing, analysis, mo…

    Jupyter Notebook 2

  5. a script i wrote to automate process... a script i wrote to automate process of getting mal links from livechart website needs requests beautifulsoup4 and cloudscraper installed on your system
    1
    from bs4 import BeautifulSoup
    2
    import cloudscraper
    3
    import time
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    5
    scraper = cloudscraper.create_scraper()  # This simulates a browser and can handle Cloudflare