Open to opportunities

Hamza Faheem

@hamzafaheem

Message

Senior ML engineer building production ML data pipelines and GPT-powered RAG systems at scale.

Pakistan

Message

What I'm looking for

I’m looking to build and operate production ML pipelines at scale—shipping distributed data processing, orchestration, and LLM/RAG systems—where reliability and measurable outcomes matter to the business.

I’m a Senior ML Engineer with 5+ years building and operating production ML data pipelines at billions-of-events scale. I’ve spent four years as a remote B2B contractor for a Canadian AdTech firm, where I focus on distributed processing, reliable orchestration, and measurable business impact.

At MonetizeMore, I designed and operated the Traffic Cop invalid-traffic detection pipeline (PySpark + Airflow + AWS), scoring billions of ad events and cutting revenue clawbacks from 5% to 0.52% (~$5M/year recovered). I also deploy GPT-powered applications on Kubernetes (LangChain + Flask + Streamlit) and built an embedding-based RAG system (Redis VectorDB + GPT-4o) for internal decision support, plus improved revenue-forecasting accuracy by 18% MAPE using Prophet with A/B variant benchmarking.

Experience

Work history, roles, and key accomplishments

Current

Senior ML Engineer / Data Scientist

Current

MonetizeMore

Jan 2022 - Present (4 years 6 months)

Designed and operated an invalid-traffic detection pipeline using PySpark and Airflow on AWS, scoring billions of ad events and reducing revenue clawbacks from 5% to 0.52%. Built and orchestrated multi-source ETL to Athena, deployed GPT-powered applications on Kubernetes, and implemented an embedding-based RAG system to support internal decision-making.