13+ years in FAANG environments building AI-driven SaaS products.
7 years at Amazon leading scientists and engineers from vision to global launch.
AWS Certified Solutions Architect | M.Tech, IIT Delhi
I've spent 13 years in FAANG environments building Artificial Intelligence SaaS products relying heavily on Optimization and Machine Learning. During my 7 years at Amazon, I led scientists and engineers through the entire journey—from product discovery and vision to global launch and continuous enhancement.
I'm a hands-on leader who never just sits in meetings. I love rolling up my sleeves to work on mathematical modeling and coding right alongside my team. While I'm expert at managing Scrum/Jira and creating multi-year product roadmaps, my real strength lies in system orchestration—integrating multiple technical systems through APIs, microservices, and real-time data streams to drive business decisions.
As an AWS Certified Solutions Architect, I focus on system design and risk management to ensure products can scale globally. I believe in fast, iterative prototyping and A/B testing to validate complex system hypotheses against OKRs and core business KPIs.
Beyond work, I stay active in the tech community as a research collaborator for AI for Smart Mobility (IEEE) and a volunteer for Optimization4All, helping make decision intelligence education accessible to everyone.
Years FAANG Experience
R&D Portfolio Led
Faster Deployment Time
Annual Savings Delivered
A comprehensive toolkit spanning product leadership, AI/ML, optimization, and cloud architecture—built over 13+ years delivering enterprise-scale solutions.
Real-world results from leading AI-driven products and optimization systems at Amazon scale.
Led end-to-end delivery of a GenAI/LLM-enhanced CI/CD platform using AWS CDK Python, enabling research scientists to iterate faster on network planning models.
Re-architected data infrastructure migrating from Redshift to AWS Glue/PySpark, dramatically improving cycle time and automation for network planning data management.
Implemented network schedule optimization across North America, delivering significant cost savings and defining MVP scope for optimization products with future value.
Built simulation-based planning models and real-time KPI dashboards for Amazon's middle-mile network in Europe, improving forecasting accuracy and data quality.
Built scalable ETL pipelines and improved address normalization using ML approaches, achieving measurable improvements in first-attempt delivery rates and route optimization.
Built and led a TPM organization of 10 Technical Program Managers reporting to Director-level leadership, scaling to support 10 concurrent product launches across NA, EU, and APAC.
Research on using LLMs as intelligent meta-controllers within optimization pipelines—recognizing situations and selecting the best optimization technique or policy at each point in a decision cascade.
Advancing accessible, sustainable, and inclusive transportation through AI, optimization, and user-centric design.
"How might we use user-centric technologies to achieve barrier-free mobility and maintain a healthy and active lifestyle?"
Co-Chairing this global competition focused on developing accessible mobility solutions for elderly people, people with disabilities, and people with chronic diseases. Following the principle "Nothing about Us, Without Us" — ensuring genuine user representation in design.
Official IEEE SM'26 Barrier-Free Accessible Mobility Pitch-Off Co-Chairs
Co-Chair, Accessible Smart Mobility Pitch-off Competition
Associate Professor, RIT Dubai
Associate Professor of Electrical Engineering and Computing Sciences at RIT Dubai. Chair of IEEE joint chapter UAE-section.
Co-Chair, Accessible Smart Mobility Pitch-off Competition
2026 — Present
Senior Technical Product & Program Leader specializing in AI, Optimization & Decision Intelligence.
Recognized as an External Research Collaborator at King Fahd University's AI for Smart Mobility Lab
Applying machine learning and operations research to solve complex mobility challenges
Designing inclusive transportation solutions for people with disabilities and chronic conditions
Building eco-friendly mobility systems that reduce environmental impact
"Nothing about Us, Without Us" — ensuring authentic user representation in all solutions
With a 360-degree view of the product lifecycle—from the first spark of an idea to global deployment—I'm ready to help your team build the next generation of AI-driven products and decision-support tools.
zishan_yusuf@yahoo.co.in
+352 621 485 246
Luxembourg (EU Passport)
Languages: English (Fluent), French (Basic), Hindi (Fluent), Urdu (Advanced)
Industrial and Systems Engineering
Indian Institute of Technology, Delhi
2007 — 2009
Mechanical Engineering
JMI College of Engineering, Delhi
2003 — 2007
Associate Level
Amazon Web Services
2024 — 2027
Co-Chair, Accessible Smart Mobility Pitch-off Competition
2026 — Present
Organizer and Winner
2022 & 2023