ibook-analytics
Real-time multi-tenant analytics platform.
Python
Data & AI engineering
Muhammad Mudassir Khan
Independent data and AI consultant building production-ready systems with full-stack observability, safety guardrails, and evaluation. I lead and scale data teams and ship forecasting, MLOps, and agentic AI products across Q-Commerce, mobility, and enterprise.
AI-assisted development & AI agents
Today I focus on how large language models and agentic workflows change how we build and operate data and AI systems. I work with LangGraph-style orchestration, RAG, and evaluation loops (offline evals, RAGAS-style metrics, LangSmith tracing) so systems stay reliable in production—not just impressive in demos.
Recent work spans an AI agent–based RAG chatbot for internal policy search, EdTech assessment pipelines, and MLOps platforms with feature stores, drift detection, and CI/CD for training and deployment. I care about pairing AI-assisted coding with rigorous engineering: observability, guardrails, and clear success criteria.
Experience
Selected roles across leadership, delivery, and applied research.
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Independent Data & AI Consultant
- Production data and AI systems with observability, safety guardrails, and evals.
- AI-based EdTech assessment; MLOps for real-time fraud detection with feature store, drift detection, and CI/CD pipelines.
GCP · LangGraph · LLMs · Postgres · FastAPI · Kafka · Flink · MLflow · BentoML · Airflow · Python
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Head of Data
- Technology leadership: org design, hiring, and career ladders for Data Engineering, Analytics, and Data Science (12+).
- AI agent–based RAG chatbot for company policies; computer vision for animal ID on mobile.
- Medallion architecture and automated data pipelines.
AWS (Redshift, SageMaker) · Airflow · Airbyte · Metabase · Vector DBs · PyTorch · Python
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Manager Data Science
- Led 8+ data scientists and engineers; delivery intelligence for Q-Commerce across 50+ countries.
- Demand forecasting and planning platform replacing legacy tooling; improved availability by up to ~5% while controlling stock-on-hand.
- Promotion elasticity modeling, picking strategy optimization, and scalable ELT with observability and SLAs.
GCP (BigQuery, Cloud Functions, Cloud Run) · Airflow · Python · SQL · Looker
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Director of Data & BI
- Built and scaled a 15+ person org (engineering, analytics, DS, annotation) for marketplace growth.
- Data-as-a-product: procurement engine, search & recommendations; batch and streaming pipelines.
AWS (S3, SageMaker, Redshift, QuickSight) · dbt · Kafka · Flink · Argo · TensorFlow · Python
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Technical Lead Manager
- AI dashcam safety event detection for 150k+ vehicles; strong lift vs. industry benchmarks.
- Sensor fusion and analytics for accident detection; GPS-scale stop classification.
AWS (S3, Lambda, Redshift, IoT) · Kafka · TensorFlow · Python
Open source
Recent public repositories on GitHub.
ibook_mlops
AI Ops system deployable locally or in production, with a simulation module for scenario testing.
Python · Docker
iBud
Agentic RAG for e-commerce customer support: FastAPI backend, workflow-style agent runtime, pgvector/Redis, Streamlit UI, observability with Prometheus, Grafana, LangSmith, and RAGAS.
Python
Teaching & resources
Introduction to Machine Learning — course materials hosted on this site.
Writing
Selected articles on Medium — MLOps series and earlier work from Motive (KeepTruckin).
Research & education
Background
Doctoral research in robotics and computer vision at LUMS (not completed), including visiting research at RPTU Kaiserslautern-Landau, Germany. Thesis topic: safe roadmaps and traversability analysis using 3D sensors for autonomous vehicles. Member of the Cyber Physical Networks (CYPHYNETS) research group supervised by Dr. Abubakr Muhammad.
That work connects graph-theoretic road analysis with vehicle models to assess whether roads are traversable for a given vehicle in the presence of obstacles and how safety compares to nominal conditions.
Degrees
- Doctoral research — Robotics & Computer Vision, LUMS (Jun 2012 – Oct 2017, not completed)
- M.S. Computer Engineering — LUMS (Aug 2010 – Jun 2012)
- B.E. Computer Systems Engineering — NUST (Sep 2004 – Jun 2008)
Publications
- H. Ali, A. Muhammad, M. M. Khan. “A Simple Framework for Context-Aware Driver Performance.” IEEE ITSC, 2020.
- M. M. Khan, H. Ali, K. Berns, A. Muhammad. “Road Traversability Analysis Using Network Properties of Roadmaps.” IEEE/RSJ IROS, 2016.
Skills
Data engineering
PythonSQLETL/ELTBatch & streamingOrchestrationData modelingGovernanceObservability
Cloud
GCP (BigQuery, Cloud Run, Vertex AI)AWS (S3, Redshift, SageMaker, Lambda)
MLOps & platforms
MLflowBentoMLAirflowdbtKafkaFlinkFeature storeModel registry
Data science & AI
Statistical modelingCausal inferenceMLDeep learningPyTorchAI agentsRAG
Languages: English (fluent), Urdu (native), Pashto (native).