Nikul Ukani
Quantitative Analyst
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNikul Ukani is a quantitative analyst at D. E. Shaw with 13 years of experience applying computational neuroscience, machine learning, and optimization to real-world problems. He holds a PhD in Electrical Engineering (Computational Neuroscience) from Columbia and brings deep expertise in mathematical modeling, high-performance parallel computing, and production-grade software development. At Columbia he combined research, teaching, and extensive tutoring across neural networks, stochastic processes, and optimization—skills he now translates into quantitative research and algorithmic trading. Known for rigorous academic performance (MPhil/MS GPAs >4.0/3.95) and a practical bent, he excels at turning complex theoretical models into scalable, high-throughput implementations.
13 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Electrical engineering, 3.95/4.00, Master of Science (MS), Electrical engineering, 3.95/4.00 at Columbia University in the City of New YorkBachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering at University of Mumbai
English, Gujarati, Hindi, Marathi, Sanskrit
Github Skills (35)
simulation10
driver10
gpu10
neural10
python9
orientdb9
pycuda8
binary-serialization8
neo4j7
cufft7
cypher6
database6
graph6
blas6
graph-database6
Programming languages (6)
Github contributions (5)
nikulukani/pycublasxt
Aug 2017 - Apr 2019
Python interface to the NVIDIA CublasXt API
Contributions:5 commits, 1 PR, 4 pushes in 1 year 8 months
nvidiapython
nikulukani/pyorient_native
Jul 2016 - Nov 2018
Python interface for OrientDB binary Serialization
Contributions:5 releases, 18 commits, 3 PRs in 2 years 4 months
binary-serializationorientdbpython
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