Skip to content
View MuhammadSamarShehzad's full-sized avatar

Block or report MuhammadSamarShehzad

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Muhammad Samar Shehzad

AI Developer | LLM & Agentic AI Engineer
Building Production RAG Systems • Multi-Agent Pipelines • LLM Safety & Evaluation

🌐 Portfolio💼 LinkedIn📧 Email


👨‍💻 About Me

AI Developer with hands-on experience building and shipping production AI systems. Currently working at InterCraft where I build agentic pipelines, RAG systems, and AI automation tools for real clients. I focus on reliability, LLM safety, and scalable deployment.

  • 🔥 Stack: LangChain, LangGraph, FastAPI, Qdrant, AWS Bedrock, Docker, n8n
  • 🛡️ LLM Safety: Promptfoo red teaming, OWASP LLM Top 10, adversarial testing
  • 🎓 BSCS (CGPA 3.87) — Arid Agriculture University Rawalpindi

💼 Work Experience

AI Developer — InterCraft (Sep 2025 – Present)

  • Built Alfaisal University Helpdesk AI System with full ticket lifecycle management using LangGraph, FastAPI and PostgreSQL with JWT auth and email AI agent
  • Developed University Policy RAG Chatbot using LangChain, Qdrant and FastAPI
  • Built AI Auto-Grading System — teachers upload criteria, AI evaluates and exports CSV reports
  • Created Lead Generation Tool using n8n, Google Places API, Apify, and Browserless Docker

Machine Learning Intern — Tensor Labs (Mar 2025 – Jun 2025)

  • Improved pipeline efficiency by 30% using LangChain, HuggingFace, and Google ADK
  • Built LLM-based agents for automation, information retrieval, and code execution

🛠️ Tech Stack

LLM & Agentic AI LangChain LangGraph Google ADK LiteLLM Groq AWS Bedrock MCP

LLM Evaluation & Safety Promptfoo OWASP LLM Testing Adversarial Red Teaming

Voice AI LiveKit Deepgram (STT) ElevenLabs (TTS)

Databases & Vector Stores PostgreSQL Qdrant FAISS Milvus Redis

Deployment & DevOps Docker FastAPI AWS (Bedrock, S3, Lambda, EC2) Render

Workflow Automation n8n Apify Browserless

ML & Deep Learning TensorFlow Keras Scikit-learn NumPy Pandas


🏆 Featured Projects

Production Agentic RAG system for semantic search across Quran, Hadith, and Fatwa using LangGraph and Qdrant. Implemented RAG Fusion with Reciprocal Rank Fusion, Redis semantic cache, and automatic LLM fallback (AWS Bedrock → Groq). Conducted 539 adversarial red team tests achieving 89% defense rate against jailbreaks across OWASP LLM Top 10 and EU AI Act frameworks.

Tech: LangGraph, FastAPI, Qdrant, Redis, AWS Bedrock, Promptfoo, Firebase OAuth


🎙️ Voice AI Agent — Portfolio Assistant

Real-time voice AI agent deployed live on personal portfolio. Handles speech-to-text, LLM response, and text-to-speech in real time. Hosted on AWS with Docker containerization.

Tech: LiveKit, Deepgram, ElevenLabs, Groq, AWS EC2/Lambda/S3, Docker


🤖 Coding Agent System

Autonomous coding agent for code modification and analysis using Google ADK and LangGraph with multi-agent orchestration and semantic embeddings.

Tech: Google ADK, LangGraph, RAG, Semantic Embeddings


🩺 Skin Disease Classification

CNN model using DenseNet201 achieving 99.15% accuracy for skin condition classification from images.

Tech: TensorFlow, Keras, DenseNet201, Computer Vision


❤️ Heart Disease Classification

Predictive model with 89% accuracy for early heart disease detection using health indicators.

Tech: Scikit-learn, Pandas, NumPy


+92 311 6636958 • samarshehzad598@gmail.com

Pinned Loading

  1. Diabetes-Prediction Diabetes-Prediction Public

    Diabetes Prediction using Machine Learning

    Jupyter Notebook

  2. Email_Classification Email_Classification Public

    Spam Email Classification

    HTML

  3. Heart-Disease-Prediction Heart-Disease-Prediction Public

    Heart Disease Prediction using Machine Learning

    Jupyter Notebook

  4. Skin-Cancer-Classification Skin-Cancer-Classification Public

    Skin Cancer Classification using Transfer Learning

    Jupyter Notebook

  5. PalestineIsrael-InjuriesAndDeaths PalestineIsrael-InjuriesAndDeaths Public

    Palestine-Israel Conflict Dashboard

    Jupyter Notebook