Maiden Voyage Venture Group
General Partner
Saif Ahmed
Hacker + Quant + Entrepreneur + Investor. Forever obsessed with algorithms, code and all things numerical.
Hacker + Quant + Entrepreneur + Investor. Forever obsessed with algorithms, code and all things numerical.
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Experience
DocHuddle
CTO, Co-Founder
Focused full-time on developing, testing, and scaling field-capable Machine Learning models for medical image classification used for read prioritization, triage, and workflow.
This... more is not just with academic benchmarks – we use real patient data and have built a scalable, distributed processing environment to support a 20TB+ training dataset on a massive local NVIDIA training grid we maintain.
This... more is not just with academic benchmarks – we use real patient data and have built a scalable, distributed processing environment to support a 20TB+ training dataset on a massive local NVIDIA training grid we maintain.
AIG Investments
Chief Quantitative Technologist
Built entire investment analytics architecture, technology platform, and team from zero to a turnkey, fully automated system covering 96% of the firm's $240B portfolio. Built... more technology + team for the firm's valuations service. Architected firm's scenario and stress testing platform for complex scenario runs using distributed computation farm.
Goldman Sachs
Senior Associate
Accenture
Employee
babyetch
Founder
Elysium Analytics
Founder
DeepJams
Advisor
sparks & honey
CTO
DeepJams
Founder, Technical Advisor
Kinetica DB
Director of Engineering - Machine Learning
Kinetica offers an in-memory GPU hardware-accelerated, sharded, distributed database -- delivering best-in-class performance. I'm leading Product Design and Engineering efforts... more for our Machine Learning product line.
Our product uses Kubernetes, TensorFlow, KubeFlow, and our GPU-based DB to deliver a co-located architecture -- accelerating both distributed training and inference. Our product is used in Production settings for Fortune 50 Enterprise-class use-cases involving streaming inputs.
Our product uses Kubernetes, TensorFlow, KubeFlow, and our GPU-based DB to deliver a co-located architecture -- accelerating both distributed training and inference. Our product is used in Production settings for Fortune 50 Enterprise-class use-cases involving streaming inputs.
Founder
Employee
Advisor
Projects
DeepJams - AI Generated Music w/ Genre Style Transfer
You can start using our application here. Just follow the two easy steps below or see the usage demo video on the right. Step 1) upload an MP3 file, much… · More like this one (we all happen to be huge fans of Sandstorm) Your browser does not support the audio element.
Medical Imaging Big Data Meets Machine Learning
Our areas of interest are diagnostic imaging and hospital workflows. We took the most interesting and bleeding-edge health tech 2.0 ideas, spec'd and… · More prototyped them out, and are working with hospitals to actually use them on the field.
Education
About
Achievements
Lead efforts to build medical image driven diagnostic classifier (using CNN based deep learning on Tensorflow) for rapid case triaging trained against actual medical data (20TB+).
Helped lead the massive, global, highly-visible, and viciously political restructuring and unwinding of AIG Investments' derivatives systems, processes, operations, and book restructuring in 2008 and 2009.
Describe the most impressive thing you've done.
Skills
Locations