Heet Sankesara
Research Software Engineer & Data Scientist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolHeet Sankesara is a Research Software Engineer and Data Scientist based in London with nine years of experience applying deep learning and practical mathematics to real-world problems. At King's College London and previous research roles he has worked on 3D medical image registration, NLP and IoT+AI systems, and contributed testing and algorithm validation to the high-performance mlpack C++ machine learning library. A disciplined planner and clear communicator, he digests complex research, blogs about technical topics, and turns ideas into reproducible code and prototypes. Notable accomplishments include qualifying for ACM ICPC regionals, a top-three finish in an industrial hackathon building an integrated IoT/AI smart meter, and research that blends academic rigor with production-minded engineering.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.08, Bachelor of Technology - BTech, Computer Science, 9.08 at Indian Institute of Information Technology Vadodara
English, Hindi, Rajasthani, Gujarati
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
nearest-neighbor-search10
machine-learning10
cpp10
knn10
cplus10
nearest-neighbors10
testing9
data-structure9
algorithm9
data-structures9
algorithms9
regression4
Programming languages (9)
Github contributions (5)
mlpack/mlpack
Mar 2019 - Aug 2019
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:26 commits, 2 PRs, 30 comments in 5 months
Contributions summary:Heet's commits primarily involve contributions to testing machine learning algorithms within the mlpack library. They focused on creating and updating test cases for K-Nearest Neighbors (KNN) and K-Furthest Neighbors (KFN) search algorithms. The changes include adding tests for various scenarios, such as different leaf sizes and tree types. Furthermore, the user corrected dimension errors and resolved style issues related to the test implementations.
regressionheaderdeep-learningscientific-computingc-plus-plus
Hsankesara/algos
Mar 2017 - Jul 2017
Contributions:90 pushes, 14 branches in 3 months
leetcodealgorithms-and-data-structureslanguagescompetitive-programmingjava
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