Houman Haji
ML Engineer & Software Engineer | Ranking, Recommendation, Production ML & Data Systems
Education
University of Southern California
Master of Science - MS, Computer Science / December, 2018
University of Toronto
Bachelor of Engineering - BE, Computer Engineering / December, 2016
Experience
Snappfood
Data Scientist / September, 2024 — September, 2025
• Worked on production ML systems for restaurant ad ranking, recommendation, and marketplace optimization. Built and evaluated XGBoost-based predictive ranking models using Python, SQL, and Spark-based feature pipelines to improve ad revenue, CTR, and conversion. • Delivered Airflow-scheduled training, scoring, and evaluation workflows, including offline validation, A/B testing, regression analysis, and production impact monitoring. • Improved revenue per impression by 3%, ad CTR by 15%, and order conversion by 25%, while supporting high-volume marketplace traffic. • Optimized a FastAPI ETA prediction service, reducing average latency from 60ms to 10ms and increasing throughput from 120 requests/sec to approximately 400 requests/sec.
Shift Technology
Data Solution Engineer / October, 2021 — January, 2023
• Built and maintained data integration pipelines connecting insurance partners with AI-powered fraud detection systems. • Developed backend services and APIs in C#/.NET for processing large-scale insurance data. • Implemented monitoring solutions using OpenTelemetry and Grafana, enhancing reliability across 1,000+ daily jobs.
Research Center of Informatics Industries
Security Engineer / September, 2018 — May, 2020
Information Sciences Institute
Security Researcher / May, 2017 — July, 2017
Meezam.com
Software Engineer / January, 2023 — Present
• Building Meezam.com, a restaurant reservation platform for online bookings, restaurant availability, host operations, and reservation management. • Designed and implemented backend systems using Node.js, PostgreSQL, Docker, and containerized services. Built reservation workflows, role-based access control, payment integration, cancellation policies, host dashboard APIs, observability, and production deployment infrastructure. • Managed product delivery by defining requirements, coordinating frontend development, prioritizing releases, leading restaurant onboarding, and working directly with restaurant users to improve product workflows.
George Brown Polytechnic
Professor, Advanced Object-Oriented Programming / September, 2023 — December, 2023
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