Summary
Mohammad Khan is a Senior GenAI Engineer with nine years of experience building and deploying machine learning solutions across telecom and enterprise domains. He has led end-to-end projects from data ingestion and anomaly detection to production LLM-based chatbots, combining hands-on engineering (Python, LangChain, RAG, Airflow, PySpark) with product-focused delivery and stakeholder engagement. At Nokia he moved prototypes into business-scale platforms and contributed to energy-saving algorithms that influenced subsequent 5G features and a published paper, while at EY he architected an agentic LLM assistant integrated with search and custom tools. Comfortable leading small teams, he blends research-driven approaches (Bayesian optimization, time-series analysis) with pragmatic pipeline and MLOps design. Based in Wrocław, he’s equally at home debugging telecom stacks or refining prompt engineering to shape persona and tool invocation behavior. An insatiable machine learning enthusiast, he often surfaces non-obvious gains by pairing domain knowledge with applied ML to unlock operational value.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Manufacturing Processes and Automation, Bachelor of Engineering - BE Manufacturing Processes and Automation at Netaji Subhas Institute of Technology
Master of Technology - MTech Computer Science, Master of Technology - MTech Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Master's degree Applied MSc in Data Science & Artificial Intelligence, Master's degree Applied MSc in Data Science & Artificial Intelligence at DSTI - School of Engineering
English, Polish, French