About
Senior ML engineer focused on reliable, production-ready AI.
I deliver end-to-end ML systems across consulting, media, and semiconductor industries. My work blends traditional ML with RAG and agentic AI, backed by strong MLOps and stakeholder alignment.
Senior ML Engineer (Azure)
Based in Germany, open to global opportunities. Experienced in Azure ML, Synapse, LangChain, and production-scale AI delivery.
Leadership
MLOps
RAG
Experience
Career highlights
Lead ML use cases in the Analytics Competence Center, standardize MLOps, and deliver
production-ready AI across sales, workforce planning, and project performance.
Built GPT-4 powered RAG systems for data discovery and recommendation explainability,
and supervise two junior data scientists.
Delivered recommendation, churn, and revenue forecasting tools with measurable gains
in engagement (+15%), conversion (+8%), and ad revenue (+20% YoY).
Built analytics and reporting systems for semiconductor yield, test data, and
power management modeling.
Approach
How I work
Product Mindset
Every model ties to a measurable business outcome and clear owner.
Engineering Discipline
Reusable pipelines, modular code, and automated testing throughout.
Trusted Partner
Transparent communication with stakeholders, from leadership to ICs.
Credentials
Education + certifications
Academic foundation with targeted training in AI and big data.
M.Sc Power Engineering - Technical University of Munich
B.S. Electronic Engineering - GIK Institute
Machine Learning in R - Essential Data Science Training (2019)
Big Data Analytics Using Spark - UC San Diego (2020)
Languages
German (business fluent), English (business fluent), Urdu (native).