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Muhammad Rizwan Khan

AI Engineer · Doha, Qatar M.Sc. Artificial Intelligence · 10 years building production data systems

I build AI systems that reach real users — LLM applications, RAG assistants, computer vision pipelines and the automation that holds them together. My background is a decade of production data engineering and applied ML on large operational datasets, which is where I learned that the model is the easy part and the pipeline around it is the job.


What I've shipped

CalTrack — nutrition tracking on Google Play Photograph a meal, get it itemised with calories and macros; get a meal plan built from your goals and body metrics. Two n8n workflows behind it: Gemini 2.5 Pro for the vision work, a gpt-5.1 agent for plan generation. No model call happens inside the app, so a prompt change doesn't need a store release. React Native · Supabase · n8n · Gemini 2.5 Pro · gpt-5.1 play.google.com/store/apps/details?id=com.pet.caltrack

AudioBooks — long-form text to AI-narrated audio summaries Map-reduce summarisation over a whole book, per-segment speech synthesis, then async concatenation into one track. Consumable credits with server-verified billing. React Native · Supabase · n8n · gpt-4o · ElevenLabs · Transloadit

E-commerce shipping automation — running in my own business Order event to courier booking: a model normalises free-text cities to courier codes, then routing by payment method and order value books the shipment, writes back tracking, and files the label. Make · Supabase · gpt-4o · TCS courier API

Voice appointment agent — appointment calls for a dental clinic Speech in, calendar out. Intent routing, natural-language date parsing, live slot lookup and calendar CRUD. Availability always comes from the calendar, never from the model. Make · VAPI · gpt-4o · Cal.com · Google Calendar

AI social publishing platform Generates copy and imagery, then publishes scheduled posts across Instagram, Facebook, LinkedIn and X with per-destination handling. Make · gpt-4o · DALL·E 3 · Supabase Storage

Lead generation pipeline Filters prospects, parses names, finds and verifies emails, writes a personalised icebreaker per lead. Unverifiable addresses are dropped rather than sent. n8n · LLM agents · AnyMailFinder · Instantly

Over 150 workflows built in n8n, plus Make scenarios. Eleven are documented in depth — sanitised exports, canvas diagrams and the reasoning behind each design — in ai-automation-workflows.


Open source

lego-backend — text or image to a buildable LEGO set Takes a prompt or an ordinary photo and produces a complete mosaic kit: quantises the image to the closest real brick colours, matches them to actual parts against a bundled Rebrickable catalogue, and emits a parts list, colour map, height map, section maps and step-by-step PDF instructions. The constraint that makes it interesting is that the palette is not free — it is whatever LEGO actually manufactures. 2D input yields a mosaic; a 3D mesh yields a 3D build. Python · FastAPI · Rebrickable · computer vision

lego-blender-render-server — headless render service Containerised FastAPI service driving Blender to render brick data into preview images. Python · FastAPI · Blender · Docker


Stack

Languages Python · TypeScript · SQL · Bash ML scikit-learn · XGBoost · LightGBM · CatBoost · Prophet · Isolation Forest Generative AI OpenAI (gpt-5.1, gpt-4o, DALL·E 3) · Google Gemini 2.5 Pro · ElevenLabs · Ollama · RAG · Pinecone · pgvector · Hugging Face Transformers Computer vision OpenCV · YOLOv5/v8 · torchvision · depth maps · instance segmentation Backend & deploy FastAPI · Docker · Streamlit · Gradio · MLflow · GitHub Actions · pytest Automation n8n (150+ workflows built) · Make · Apify · Firecrawl · Google Workspace APIs Data Pandas · NumPy · Power BI · matplotlib · plotly


Background

Ten years as a senior data analyst across telecom and government network operations — Ministry of Interior Qatar, Nokia, Telenor, Ufone. Built and owned the pipelines behind national network performance data: ingesting and cleaning large multi-source telemetry, then applying Python, SQL and machine learning to detect degradation and surface anomalies. Supported network readiness for the FIFA World Cup 2022 and AFC Asian Cup 2023.

M.Sc. Artificial Intelligence, IU International University of Applied Sciences, Germany B.Sc. Electrical Engineering, UET Peshawar


📍 Doha, Qatar · open to relocation 🔗 LinkedIn ✉️ engr.rizwankhan1927@gmail.com

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