Muhammad
Muzammil Shah
AI Engineer passionate about building production-ready AI agents, RAG pipelines, and automation workflows using Microsoft Copilot Studio, Power Platform, Azure AI, and LangChain.
Building the Future
with AI
I'm an AI Engineer from Karachi, Pakistan, with hands-on expertise in Microsoft Copilot Studio, Power Platform, and Azure AI services. I build scalable copilots, voice agents, and RAG-powered knowledge bases that solve real enterprise problems.
Currently interning remotely at 1Dynamics PTY LTD (Australia), where I design and deploy production AI agents with Power Automate + Dataverse integrations. As a Beta Microsoft Student Ambassador, I lead sessions on Azure ML, Generative AI, and RAG systems at SMIU.
I'm also experienced in Python-based ML/DL pipelines — from NLP and Computer Vision (OpenCV/YOLO) to end-to-end Generative AI workflows (STT → LLM → TTS). I love building things that work at scale.
Professional Journey
Hands-on roles at international and local tech organizations
- Built & tested production-grade AI agents in Microsoft Copilot Studio with multi-topic flows and Adaptive Cards UI
- Automated enterprise workflows using Power Automate + Dataverse integrations
- Delivered reliable scheduled automation tasks with daily progress tracking
- Worked in an agile international team environment with consistent delivery
- Developed CallBotX — a real-time voice AI agent with RAG, STT → LLM → TTS pipeline (Flask + SSE + Groq)
- Built n8n automation workflows: RAG Research Assistant, WhatsApp Support Bot, Groq LLM agent
- Created VectorShift agents for YouTube SEO generation and automated blog writing
- Built NLP-based emotion analysis and opinion mining system from social media data
- Created data visualizations for real-world trends including COVID-19 insights
- Applied Python (Pandas, NumPy, Matplotlib) for end-to-end data pipelines
- Led workshops on Azure Machine Learning Studio pipelines for students
- Conducted sessions on Generative AI with Sora on Azure
- Demonstrated production RAG systems & knowledge base copilots to the campus community
Technical Expertise
A broad toolkit spanning AI engineering, cloud platforms, data science, and automation
What I've Built
25+ projects spanning AI agents, voice bots, NLP, computer vision, and data science
Real-time AI-powered voice/chat agent with RAG retrieval, STT→LLM→TTS pipeline, natural conversation flow handling & e-commerce support automation.
AI-powered job application email generator & automation tool that reads GitHub repos, summarizes READMEs using LLMs, and sends tailored job emails.
Multi-modal content generation system built on Azure AI Studio combining text, image, and speech capabilities with Azure Cognitive Services.
AI-powered editorial web application that detects and humanizes AI-generated text, making content more natural and authentic for publishing workflows.
AI-powered chatbot for real estate queries using RAG over property listings, NLP for intent detection, and conversational context management.
Automated interview platform powered by LLMs that generates domain-specific questions, evaluates answers, and provides structured feedback reports.
Intelligent mathematics tutoring chatbot that answers student questions step-by-step using NLP and structured problem-solving frameworks.
ML model to detect phishing emails using NLP feature extraction, TF-IDF vectorization, and classification algorithms with high accuracy.
Binary spam/ham email classifier using NLP preprocessing, feature engineering, and multiple ML classifiers benchmarked for optimal performance.
Real-time computer vision system to detect school uniform compliance using YOLO object detection and OpenCV for security and attendance tracking.
Custom-trained YOLOv11 model for real-time detection and classification of Pakistan and Palestine flags with high precision and recall.
Real-time face detection system using OpenCV Haar Cascades and DNN-based models with live webcam feed processing.
Multi-modal emotion detection combining facial expression analysis (OpenCV/Deep Learning) and text sentiment for comprehensive human emotion recognition.
Comprehensive exploratory data analysis of Pakistan's property market with interactive visualizations, trend analysis, and price prediction insights.
Scalable Extract-Transform-Load pipeline for automated data ingestion, cleaning, transformation, and loading workflows with Python.
Cryptocurrency data analytics and visualization platform tracking market trends, price analysis, and portfolio insights using Python.
Implementation and analysis of linear regression models with feature engineering, cross-validation, and model performance evaluation.
Academic Background
Focused on machine learning, deep learning, NLP, computer vision, and AI-driven system design. Completed hands-on projects in all major AI domains. Served as campus leader as Beta Microsoft Student Ambassador throughout the degree.
Specialized data science training covering statistical methods, Python data tools, machine learning fundamentals, and real-world data projects at Pakistan's leading engineering university.
Foundation in mathematics, physics, and computer science that laid the groundwork for pursuing Artificial Intelligence at the university level.
Learning & Credentials
Continuously upskilling across cloud AI, data science, and machine learning
Let's Build
Something Great
Open to AI engineering roles, freelance projects, research collaborations, and speaking opportunities. Let's connect!