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.
12 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 (40)
simulation10
neural10
python-interface9
isbn9
gpu9
pycuda8
python8
orientdb8
binary-serialization8
neo4j7
cypher6
cufft6
api6
graph6
serialization6
Programming languages (6)
Github contributions (5)
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
pythonisbnbinary-serializationpython-interfaceserialization
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
apipython-interfacepythonnvidia
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