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Slaying every barrier to performance
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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.

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sparks & honey sparks & honey Chief Technology Officer
SVP, Omnicom Group (NYSE: OMC)
Kinetica Kinetica Director of Engineering, ML
Director of Developer Relations
DocHuddle DocHuddle Chief Technology Officer
AIG Investments AIG Investments Chief Quantitative Technologist
Goldman Sachs Goldman Sachs Sr. Associate, Derivatives X-Technology
Accenture Accenture Sr. Consultant, NY Capital Markets Group


Kinetica UC Berkeley M.S. Information and Data Science
Kinetica Cornell University B.S. Computer Science
Kinetica The Rockefeller University Summer Fellow
SEED 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


  1. Could Graph Optimizations Help Deliver Donated Covid Vaccines Overseas PreExpiry?

    Jupyter Notebook 2

  2. Kinetica BlackBox Model SDK

    Python 2

  3. Jupyter Notebook 3

223 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri
Activity overview
Contributed to saifrahmed/saifrahmed, kineticadb/community-vaccines, kineticadb/saferun and 28 other repositories

Contribution activity

August 2022

6 contributions in private repositories Aug 3 – Aug 9

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