{ "profile": { "name": "Mohammed Ahmed Paracha", "shortName": "Ahmed Paracha", "brandName": "Ahmed P.", "title": "ML, Gen AI & Forward Deployed Engineer", "email": "map.ai@outlook.com", "phoneCA": "+1 (647) 242-9068", "phonePK": "+92 333 3145702", "location": "Toronto, Canada · Karachi, Pakistan", "linkedin": "https://www.linkedin.com/in/parachaai/", "summary": "I build AI that ships. From national-scale RAG systems to AdTech automation — I embed with teams, take prototypes to production, and leave the infrastructure running." }, "typedSpecialties": [ "ML Engineer", "Gen AI Engineer", "Forward Deployed Engineer", "Agentic AI Builder", "Solutions Architect" ], "stats": [ { "value": "10", "label": "Years of Experience" }, { "value": "40k+", "label": "Users Reached" }, { "value": "1,000+", "label": "Internal Users Served" }, { "value": "5", "label": "Microsoft Certifications" } ], "pillars": [ { "title": "Agentic AI", "text": "End-to-end RAG pipelines and agentic AI workflows with LangChain and LangGraph — orchestration, tracing, and evaluation included." }, { "title": "Forward Deployed", "text": "Embedded directly with enterprise clients to take AI solutions from prototype to production, on cloud or in-house servers." }, { "title": "MLOps & LLMOps", "text": "Model serving, observability, CI/CD automation, and AI platform governance across Azure and AWS." }, { "title": "Business Impact", "text": "12% revenue increase from pairing models at Afiniti, 15% forecasting accuracy gains for Estée Lauder, 40,000+ users reached." } ], "experience": [ { "role": "Director of AI", "company": "Utopia Brands", "period": "Sep 2025 — May 2026", "points": [ "Built and led the AI team shipping production systems end-to-end", "POC Amazon Campaign Manager with real-time bid automation", "AI tooling for Product & Media teams — less manual content and campaign work", "GEO / AEO for brand sites and Amazon listings", "Computer vision QA on a fabric inspection line" ], "tech": ["Python", "LangChain", "LangGraph", "Computer Vision", "AWS"] }, { "role": "Principal Data Science Consultant", "company": "Systems Limited", "period": "Jan 2025 — Sep 2025", "points": [ "Enterprise RAG + ReAct chatbot for Saudi Ministry of Tourism (LangChain, Neo4j, Azure)", "VLM & face-recognition FastAPI services for 1,000+ internal users", "MLOps / LLMOps pipelines — CI/CD, versioning, observability on Azure" ], "tech": ["LangChain", "LangGraph", "Neo4j", "Azure AI Foundry", "FastAPI"] }, { "role": "Senior Data Science Consultant", "company": "Systems Limited", "period": "Apr 2022 — Dec 2024", "points": [ "Arabic LLMs (LLaMA) on Azure ML GPU clusters — lower latency, better utilization", "Estée Lauder forecasting on Databricks — +15% accuracy", "Clinical documentation research: SOAP notes and medical coding automation", "Power BI dashboards over multi-billion-dollar datasets" ], "tech": ["Azure ML", "Azure Databricks", "PyTorch", "Power BI"] }, { "role": "Senior Software Engineer — Data Analytics", "company": "Afiniti", "period": "Jan 2021 — Apr 2022", "points": [ "Customer–agent pairing models in production — +12% client revenue", "Greenplum pipeline migration — cut processing by 5+ hours", "Reusable Python feature extraction for batch and real-time flows" ], "tech": ["Python", "PostgreSQL", "Greenplum"] }, { "role": "Lead Product Development", "company": "Stemers", "period": "Sep 2015 — Dec 2020", "points": [ "Led AI educational robotics kits — hardware to mass production", "EdTech products reaching 40,000+ users in Pakistan" ], "tech": ["Python", "Embedded", "Computer Vision"] }, { "role": "Focal Person for Pakistan", "company": "Global Robot Cluster (Volunteer)", "period": "Jan 2020 — Present", "points": [ "Liaison between Pakistani engineering teams and the global network" ], "tech": [] } ], "projects": [ { "name": "Amazon Campaign Management System", "domain": "AdTech · Automation", "image": "https://images.unsplash.com/photo-1460925895917-afdab827c52f?w=800&h=500&fit=crop", "problem": "Active Amazon ad campaigns needed continuous optimization that manual workflows couldn't keep up with.", "built": "A proof-of-concept campaign management platform with backend infrastructure for high-frequency data ingestion and real-time bid adjustments.", "impact": "Demonstrated automated campaign operations end-to-end and anchored Utopia Brands' AdTech automation roadmap.", "tech": ["Python", "AWS", "Amazon Ads API"] }, { "name": "RAG Chatbot with ReAct Agent — Ministry of Tourism, Saudi Arabia", "domain": "GenAI · Knowledge Graphs", "image": "https://images.unsplash.com/photo-1677442136019-21780ecad995?w=800&h=500&fit=crop", "problem": "The Ministry needed reliable, grounded answers over large tourism knowledge bases for strategy and operations.", "built": "An enterprise-grade Retrieval-Augmented Generation system with a ReAct agent chatbot — LangChain and LangGraph for orchestration, tracing, and evaluation, with Neo4j Knowledge Graphs and Azure AI Foundry powering the retrieval pipeline.", "impact": "Grounded, traceable answers informing strategy and operations at a national ministry.", "tech": ["LangChain", "LangGraph", "Neo4j", "Azure AI Foundry"] }, { "name": "Fabric AI Inspection Machine", "domain": "Computer Vision · Manufacturing", "image": "https://images.unsplash.com/photo-1555949963-aa79dcee981c?w=800&h=500&fit=crop", "problem": "Manual quality assurance on manufactured cloth was slow and inconsistent.", "built": "Reverse engineered a fabric inspection machine and integrated computer vision for automated defect detection in production workflows.", "impact": "Automated QA on manufactured cloth, embedded directly into the production line.", "tech": ["Computer Vision", "Python", "Embedded"] }, { "name": "VLM & Face Recognition Microservices", "domain": "Computer Vision · MLOps", "image": "https://images.unsplash.com/photo-1531746790731-6c087fecd65a?w=800&h=500&fit=crop", "problem": "Enterprise applications needed secure, accurate facial recognition with production-grade availability.", "built": "AI-powered FastAPI microservices using Vision-Language Models and Face Recognition, deployed with high availability and real-time inference.", "impact": "Serves 1,000+ internal users in production.", "tech": ["VLMs", "FastAPI", "Docker", "Azure"] } ], "skillCircles": [ { "name": "Python", "percent": 95 }, { "name": "PyTorch", "percent": 90 }, { "name": "LangChain", "percent": 90 }, { "name": "Azure", "percent": 90 }, { "name": "AWS", "percent": 85 }, { "name": "Docker", "percent": 85 } ], "skillGroups": [ { "title": "Languages & Frameworks", "skills": ["Python", "SQL", "PyTorch", "TensorFlow", "LangChain", "LangGraph", "LangSmith", "FastAPI", "REST APIs"] }, { "title": "AI & ML", "skills": ["Large Language Models (LLMs)", "Retrieval-Augmented Generation (RAG)", "Agentic AI", "Agentic Workflows", "Model Context Protocol (MCP)", "AI Development Kit (ADK)", "Embeddings", "Vector Search", "Computer Vision", "NLP", "Predictive Modeling", "Time-Series Forecasting"] }, { "title": "Cloud & Infrastructure", "skills": ["Azure AI Foundry", "Azure ML", "Azure Databricks", "Azure Cognitive Search", "AWS", "Docker", "Model Serving", "Inference Pipelines", "Batch & Real-Time Inference", "Scalable Infrastructure"] }, { "title": "MLOps & DevOps", "skills": ["MLOps", "LLMOps", "CI/CD Automation", "Azure DevOps", "Git", "Observability & Monitoring", "GenAI Pipeline Governance", "Cost Optimization"] }, { "title": "Data & Visualization", "skills": ["Neo4j", "Knowledge Graphs", "Power BI"] }, { "title": "Domain", "skills": ["HealthTech", "AdTech (Amazon Ads API)", "Financial Forecasting", "Computer Vision"] } ], "services": [ { "title": "Agentic AI Development", "text": "Autonomous agents and multi-step agentic workflows built with LangChain and LangGraph — with the orchestration, tracing, and evaluation to run them in production." }, { "title": "LLM & RAG Engineering", "text": "Production deployment of Large Language Models and Retrieval-Augmented Generation systems grounded in your data, from vector search to knowledge graphs." }, { "title": "MLOps & Cloud Architecture", "text": "End-to-end ML pipelines on Azure and AWS — CI/CD automation, model serving, observability, and AI platform governance." }, { "title": "Computer Vision Solutions", "text": "Deep-learning vision systems — from automated industrial inspection to face recognition and Vision-Language Model applications." } ], "achievements": [ { "title": "5× Microsoft Certified", "org": "Microsoft", "note": "Azure AI Engineer, Azure Data Scientist, AI Fundamentals, Fabric Analytics & Data Engineer" }, { "title": "Focal Person for Pakistan", "org": "Global Robot Cluster", "note": "National technical liaison representing Pakistani engineering since 2020" }, { "title": "40,000+ Users Reached", "org": "Stemers", "note": "AI-based educational robotics kits shipped from ideation to mass production" } ], "pricing": [ { "name": "Hourly", "price": "$99", "unit": "Per Hour", "included": ["One-time contract", "Flexible scope", "Source files included"], "excluded": ["Ongoing support", "Free updates"] }, { "name": "Project Basis", "price": "$69", "unit": "Per Hour", "included": ["Fixed deliverables", "Flexible contract", "Source files included", "Support during project"], "excluded": ["Free updates"] }, { "name": "Monthly Retainer", "price": "$39", "unit": "Per Hour", "included": ["Dedicated hours", "Flexible contract", "Source files included", "Ongoing support", "Free updates"], "excluded": [] } ], "testimonials": [], "faq": [ { "q": "What AI services does Mohammed Ahmed Paracha offer?", "a": "Agentic AI development with LangChain and LangGraph, LLM deployment and RAG engineering, MLOps/LLMOps pipeline implementation, computer vision solutions, and end-to-end machine learning systems for enterprises — from prototype to production." }, { "q": "Can Ahmed Paracha build RAG chatbots and LLM applications?", "a": "Yes. Ahmed led the engineering of an enterprise-grade RAG system with a ReAct agent chatbot for the Ministry of Tourism Saudi Arabia, built with LangChain, LangGraph, Neo4j knowledge graphs, and Azure AI Foundry." }, { "q": "Does Ahmed Paracha work with Azure and AWS?", "a": "Yes. Ahmed is Microsoft-certified five times over (Azure AI Engineer, Azure Data Scientist, AI Fundamentals, Fabric Analytics Engineer, Fabric Data Engineer) and has shipped production AI systems on both Azure and AWS." }, { "q": "What is Ahmed Paracha's experience with Agentic AI?", "a": "As Director of AI at Utopia Brands he led enterprise-wide GenAI automation, including agentic workflows and AI-powered internal tooling built with LangChain and LangGraph, plus GEO/AEO initiatives for AI-driven search visibility." }, { "q": "Where is Ahmed Paracha available for work?", "a": "Globally, with a presence in Toronto, Canada (+1 647 242-9068) and Karachi, Pakistan (+92 333 3145702). He works with clients across North America, the Middle East, and Asia." }, { "q": "What industries has Ahmed Paracha worked in?", "a": "AdTech (Amazon campaign management), tourism (Ministry of Tourism Saudi Arabia), beauty and retail (Estée Lauder), telecommunications (Afiniti), manufacturing (fabric inspection), HealthTech, and education technology (Stemers robotics)." }, { "q": "How can I hire Ahmed Paracha?", "a": "Email map.ai@outlook.com, call +1 (647) 242-9068 (Canada) or +92 333 3145702 (Pakistan), use the contact form on this site, or connect on LinkedIn at linkedin.com/in/parachaai." } ], "certifications": [ { "name": "Azure AI Engineer", "level": "Associate" }, { "name": "Azure Data Scientist", "level": "Associate" }, { "name": "Azure AI Fundamentals", "level": "Certified" }, { "name": "Fabric Analytics Engineer", "level": "Associate" }, { "name": "Fabric Data Engineer", "level": "Associate" } ], "education": [ { "degree": "MS in Computer Science", "school": "Institute of Business Administration, Karachi", "period": "2016 — 2019" }, { "degree": "BE in Electrical Engineering", "school": "National University of Sciences and Technology, Karachi", "period": "2011 — 2015" } ] }