Keshavan Seshadri
Senior Machine Learning Engineer at Prudential Financial
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKeshavan Seshadri is a Senior Machine Learning Engineer in New York with eight years of experience building production ML systems, full-stack applications, and startups. He combines research-grade ML (QM17 physics-based models, BERT, RAG) with hands-on product delivery—shipping a Table-Augmented Generation feature at Prudential to enable natural language querying of complex insurance data and leading an MVP grant-discovery startup from 0 to traction. Comfortable across the stack, he has implemented scalable web UIs, real-time synchronization for thousands of users in the open-source 3Dmol.js project, and cloud-native deployments using Docker, AWS, and CI/CD. His background spans Cornell Tech and IIIT Hyderabad and blends teaching and community work, from classroom tools used by millions to mentorship as a TA. That mix of applied research, entrepreneurial drive, and practical engineering lets him move ideas rapidly from prototype to production.
8 years of coding experience
2 years of employment as a software developer
Maharishi Vidya Mandir Senior Secondary SchoolB.Tech in Computer Science and MS by research in Computational Natural Sciences Computer Science, B.Tech in Computer Science and MS by research in Computational Natural Sciences Computer Science at International Institute of Information Technology Hyderabad (IIITH)Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell UniversityMaster's degree Computer Science, Master's degree Computer Science at Cornell Tech
English, Tamil, Sanskrit, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
html10
socket-io10
css10
javascript10
socket10
socket-io-client10
webgl9
computational-chemistry8
computational-biology8
Programming languages (5)
Github contributions (5)
3dmol/3Dmol.js
Apr 2019 - Aug 2019
WebGL accelerated JavaScript molecular graphics library
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:50 commits, 8 PRs, 41 pushes in 4 months
Contributions summary:Keshavan primarily contributed to the front-end development of the 3Dmol.js viewer, adding new functionalities to the UI through HTML, JavaScript, and CSS. The commits involved creating session management features, including creating, joining, and deleting sessions, alongside the synchronization of the view. The user implemented a URL state change detection mechanism and view synchronization, significantly enhancing the collaborative features of the application.
webglpdb-filesgraphics-libraryjavascriptaccelerated
K7S3/Attendance-System-Using-Image-Recognition
Apr 2020 - Jan 2025
Attendance System Using Image Recognition using Facenet
Contributions:1 release, 4 PRs, 16 pushes in 4 years 9 months
image-recognitionrecognitionattendance-systemengineeringreactjs
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