Hrishikesh Huilgolkar
Chief Executive Officer at Interstellar Research
Singapore
Summary
👤
Senior🎓
Top SchoolHrishikesh Huilgolkar is a CEO and seasoned software leader with 13 years of experience blending hands-on engineering, product management, and data science. Ranked among the top 200 data scientists on Kaggle, he brings deep machine learning expertise and a track record of contributing quality fixes to major open-source projects like scikit-learn. A blockchain practitioner since the early days, he has engineered Ethereum-based identity and voting systems, contributed to the Raiden Network and smart contracts, and built fintech products that bridged fiat and crypto. Based in Singapore, he combines technical depth in ML and distributed systems with product and startup experience, demonstrating an uncommon mix of research-grade analytics and production-grade blockchain engineering.
13 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering Mechanical Engineering, Bachelor of Engineering Mechanical Engineering at Visvesvaraya Technological University
English
Stackoverflow
31reputation
392reached
1answer
0questions
Github Skills (14)
scikit10
smart-contracts10
machine-learning10
solidity10
python10
ethereum10
blockchain10
payment-methods10
scikit-learn10
testing9
data-analysis9
rpc8
statistics8
truffle6
Programming languages (13)
Github contributions (5)
raiden-network/raiden
Apr 2017 - Apr 2017
Raiden Network
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 10 PRs, 25 comments in 23 days
Contributions summary:Hrishikesh contributed primarily to the Raiden Network's smart contracts and backend infrastructure, focusing on channel management and payment channel logic. They made changes to Solidity code, renaming variables and updating smart contract functions. Additionally, the user added gas estimation capabilities within the RPC client, and refactored the code, renaming variables across different parts of the project.
paymentsethereumraidenblockchainweb3
scikit-learn/scikit-learn
Feb 2013 - Feb 2013
scikit-learn: machine learning in Python
Role in this project:ML Engineer
ML EngineerContributions:10 commits in 13 days
Contributions summary:Hrishikesh primarily contributed to the testing and improvement of the `scikit-learn` library, specifically focusing on pairwise kernel functions and related tests. They fixed issues related to sparse matrix handling within the `chi2` and `additive_chi2` kernels and refactored code by renaming variables. The user also added a test for the `fit_transform` method in transformers, ensuring its proper function. This work highlights a focus on the quality and correctness of machine learning algorithms within the library.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
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