Samagra Sharma
Founder at TensorFuse (YC W24)
San Francisco, California, India
Summary
🤩
Rockstar🎓
Top SchoolSamagra Sharma is a founder and pragmatic AI engineer with 9 years of experience building products and research-driven systems, currently leading TensorFuse (YC W24) from San Francisco. He blends machine learning research (internships at Adobe and UC Santa Barbara) with hands-on engineering across back-end and Android, contributing to notable open-source projects like the Java AIMA implementation and the Open Food Facts Android app. His work on AIMA included testing frameworks, planning data structures and parsers under mentorship connected to Peter Norvig, signaling deep algorithmic fluency beyond typical startup CTO skillsets. A former founding-team engineer at Aerotime and Google Summer of Code mentor, he pairs startup execution with academic rigor from IIT Roorkee.
9 years of coding experience
5 years of employment as a software developer
Y CombinatorIndian Institute of Technology RoorkeeCBSE - 12th Standard, High School/Secondary Certificate Programs, 94.3 %, CBSE - 12th Standard, High School/Secondary Certificate Programs, 94.3 % at Shiv Jyoti Senior Secondary School, Rathkankara10th Standard, High School/Secondary Diploma Programs, CGPA - 10, 10th Standard, High School/Secondary Diploma Programs, CGPA - 10 at Delhi Public School - Vijaipur
Stackoverflow
76reputation
2kreached
3answers
1question
Github Skills (16)
kotlin10
unit-testing10
algorithm10
data-structures10
algorithms10
javas10
android-sdk10
android10
data-structure10
java10
ui-design7
geofencing6
xml6
google-places-api6
google-play-services6
Programming languages (13)
Github contributions (5)
aimacode/aima-java
Feb 2018 - Aug 2019
Java implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Role in this project:
Back-end Developer
Back-end DeveloperContributions:125 commits, 51 PRs, 11 pushes in 1 year 6 months
Contributions summary:Samagra's commits primarily focus on simplifying and improving the testing framework for the AI algorithms implemented in the repository. The code changes involve modifications to existing test classes related to the N-Queens problem, streamlining the testing process. The user added initial data structures for planning functionalities. Additionally, the user added a parser and supporting methods to the project.
approachartificialmachine-learningrusselljava
openfoodfacts/openfoodfacts-androidapp
Feb 2018 - Mar 2018
(Legacy) Native version of Open Food Facts on Android - Coders & Decoders welcome 🤳🥫
Role in this project:Mobile Developer (Android)
Mobile Developer (Android)Contributions:12 commits, 13 PRs, 74 comments in 1 month
Contributions summary:Samagra primarily contributed to the Open Food Facts Android application, focusing on bug fixes, and code cleanup. They addressed issues like runtime permissions for the camera, fixed connectivity checks in several areas, and removed deprecated API usages. The user made improvements to the codebase by addressing lint errors, removing deprecated methods, and correcting runtime permissions, contributing to the application's stability and maintainability.
gsocfoodandroidopenfoodfactskotlin
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