Muhammad
Muzammil Shah
Power Platform Consultant & AI Engineer specializing in enterprise-scale AI agents, intelligent automation, and business-critical cloud solutions. I deliver measurable ROI through Microsoft Copilot Studio, Power Automate, Power Apps, Dataverse, Power Pages, Azure Web Services, Azure AI Foundry, and Azure Machine Learning Studio.
Building the Future
with AI
I'm a Power Platform Consultant & AI Engineer from Karachi, Pakistan, specializing in enterprise-grade AI solutions and automation. I architect and deploy production-grade Copilot Studio agents, intelligent Power Automate workflows, Power Apps experiences, and Dataverse-driven solutions that improve productivity, reduce manual effort, and create measurable business value.
Currently working as a Power Platform Consultant at 1Dynamics PTY LTD (Australia), where I design and deploy production AI and automation solutions using Microsoft Copilot Studio, Power Automate, Power Apps, Dataverse, Power Pages, Azure Web Services, Azure AI Foundry, and Azure Machine Learning Studio. As a Associate Microsoft Student Ambassador, I also lead sessions on Azure ML, Generative AI, and RAG systems at SMIU.
I'm also a skilled ML/DL engineer with deep expertise in Python-based AI systems\u2014from NLP and Computer Vision (OpenCV, YOLO) to end-to-end Generative AI pipelines (STT \u2192 LLM \u2192 TTS). I specialize in building scalable, production-ready systems that deliver real-world impact, whether through intelligent automation, advanced analytics, or AI-driven innovation.
Professional Journey
Hands-on roles at international and local tech organizations
- Architected and deployed production-grade AI agents in Microsoft Copilot Studio with multi-topic flows, intelligent routing, and Adaptive Cards UI for seamless user engagement
- Designed and automated enterprise workflows using Power Automate, Power Apps, Dataverse, and Power Pages integrations to remove manual steps and improve operational efficiency
- Implemented scheduled automation and cloud workflows using Azure Web Services, Azure AI Foundry, and Azure Machine Learning Studio with monitoring, daily progress tracking, and SLA compliance
- Collaborated in international agile teams with consistent delivery, cross-functional communication, and enterprise standards
- Developed CallBotX — an industry-grade real-time voice AI agent with RAG retrieval, end-to-end STT → LLM → TTS pipeline, and natural conversation management (Flask, Server-Sent Events, Groq LLM)
- Built scalable n8n automation workflows including RAG Research Assistant, WhatsApp Support Bot, and conversational LLM agents—reducing manual support overhead
- Deployed VectorShift agents for content automation: YouTube SEO generation, intelligent blog article writing, and resume question-answering systems
- Built production-grade NLP system for emotion analysis and opinion mining from social media data—delivering actionable sentiment insights for business intelligence
- Created impactful data visualizations for real-world trends including COVID-19 pandemic analysis—enabling data-driven decision making for stakeholders
- Engineered end-to-end data pipelines using Python (Pandas, NumPy, Matplotlib, Scikit-learn) with rigorous data cleaning, transformation, and exploratory analysis
- Led technical workshops on Azure Machine Learning Studio pipelines for 100+ students, simplifying complex ML concepts and driving adoption of cloud ML tools
- Delivered keynote sessions on Generative AI and Sora integration on Azure, positioning the campus as a hub for cutting-edge AI innovation
- Showcased production RAG systems and intelligent knowledge base copilots to the campus community, demonstrating real-world enterprise AI applications and best practices
- Mentored 50+ students on AI fundamentals, career pathways, and Microsoft ecosystem opportunities
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
Knowledge Sessions
I've Delivered
Technical workshops & keynotes as Beta Microsoft Student Ambassador at SMIU — Azure AI, Generative AI, automation, and cloud
Let's Build
Something Great
Open to AI engineering roles, freelance projects, research collaborations, and speaking opportunities. Let's connect!