Nishant Nikhil
Senior Machine Learning Research Engineer at SiteRecon
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNishant Nikhil is a Senior Machine Learning Research Engineer with 11 years of experience building production-ready deep learning systems for geospatial and voice applications. As co-founder and Chief Data Scientist at SiteRecon he architected scalable semantic segmentation pipelines for million-pixel aerial images, integrating GIS tooling, active learning, and ML DevOps to automate remote mapping. He has a strong research-to-production track record from roles at Amazon and PlayAI—working on large-scale retrieval, multimodal transformers, speech diffusion, and curriculum learning—and now contributes to Voice AI at Meta. An early open-source contributor, he strengthened code quality for the SymEngine symbolic library and implemented polynomial factorization algorithms during a Google Summer of Code stint in SymPy. He pairs an IIT Kharagpur background in Math & CS with a habit of reading widely to blend diverse mental models into pragmatic code and tooling that turn abstract ideas into tangible products.
11 years of coding experience
4 years of employment as a software developer
Master's degree Mathematics and Computer Science, Master's degree Mathematics and Computer Science at Indian Institute of Technology, Kharagpur
English, Hindi
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (12)
mathematics10
unit-testing10
computer-algebra10
c-language10
cprogramming-language10
math10
computer-algebra-system10
testing10
google-api-client6
google-api6
python6
google-api-python-client6
Programming languages (8)
Github contributions (5)
symengine/symengine
Feb 2016 - Aug 2016
SymEngine is a fast symbolic manipulation library, written in C++
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:121 commits, 33 PRs, 175 comments in 6 months
Contributions summary:Nishant primarily contributed to the project by adding and implementing tests, particularly for mathematical functions and their related trigonometric tables, in the C++ code base of the SymEngine library. Their work involved creating new test cases and verifying the behavior of the implemented functions. Furthermore, they were responsible for writing tests for a rational number bug fix, highlighting a focus on code quality and robustness. This demonstrates a strong dedication to software testing.
manipulationmathmanipulation-librarycpptheorem-proving
nishnik/Cafune
Feb 2018 - Jun 2018
Contributions:13 commits, 4 pushes, 1 branch in 4 months
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