hello world, its saif!
My name is Saif. I'm an accomplished product leader, quantitative platform developer, and ML practitioner who has consistently tackled tough, real-life problems and successfully delivered lasting platforms and solutions.
I'm especially good at balancing ground-level efforts with user interaction, stakeholder management, and organizational savvy to help deliver solutions which will be accepted and flourish in difficult enterprise settings. I have significant professional experience leading major strategic initiatives with complex quantitative/analytical components. I prefer being hands-on at least part of the time – analyzing data, prototyping solutions and working with teams on-the-ground.
Having done both Platform and Partner Engineering for over a decade, I bring deep ground-level experience instead of just applying theoretical enterprise architecture. Everything from evaluating components for correctness to facing Regulators to defend firm interests. My past work lives on -- at stock exchanges, global clearing facilities, banks, hedge funds, hospitals, and at US defense+intelligence facilities.
|sparks & honey||Chief Technology Officer
SVP, Omnicom Group (NYSE: OMC)
|Kinetica||Director of Engineering, ML
Director of Developer Relations
|DocHuddle||Chief Technology Officer|
|AIG Investments||Chief Quantitative Technologist|
|Goldman Sachs||Sr. Associate, Derivatives X-Technology|
|Accenture||Sr. Consultant, NY Capital Markets Group|
|UC Berkeley||M.S. Information and Data Science|
|Cornell University||B.S. Computer Science|
|The Rockefeller University||Summer Fellow
- Bill Clinton Award for Academic Achievement
- Westinghouse Science Talent Search National Semifinalist
- Hal Varian Award winner for best capstone project: “DeepJams: ML Meets Music Composition”
Select Talks & Publications
|Conference||NVIDIA Financial Services Forum 2019||Asset management with modern ML and Graph techniques. Presented in London, December 2019.|
|Conference||TomTom ML Conf||Machine Learning on X-Rays for Low-Cost Tuberculosis Infection Detection - TomTom ML Conf|
|Conference||HIMSS-2017||Machine Learning in Medicine - Organizational Setup and Enterprise Architecture. HIMSS-2017.|
|Conference||HIS 2015||Infection Control via Augmented Reality. Hospital Infection Society, Annual Conference, HIS 2015.|
|Book||Machine Learning with TensorFlow. Co-author||PACKT Publishing, 2017|