Khavinย Shankar
Full Stack Developer at eGov Foundation
Tamil Nadu, India
Summary
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Top SchoolKhavin Shankar is a full-stack developer with 8 years of experience building scalable web and cloud-native applications, currently contributing at eGov Foundation. He blends React, Next.js, TypeScript and Django expertise with practical cloud and DevOps knowledge to deliver production-grade healthcare and TeleICU systems used across states. A committed open-source contributor, Khavin has driven backend features, migrations and integrations for the Digital Public Good CARE project and authored algorithmic solutions in C++ on GitHub. He pairs hands-on engineering with mentorship experience from ProGrad and research credentials in geometric deep learning published at an IEEE conference, reflecting an unusual mix of product delivery, teaching, and academic rigor.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 97.9%, Bachelor of Technology - BTech, Computer Science, 97.9% at SRM UniversitySecondary (10th Grade), 88%, Secondary (10th Grade), 88% at Narayana InstituteSenior Secondary (12th Grade), 60.66%, Senior Secondary (12th Grade), 60.66% at National Institute of Open Schooling
English, Tamil, Telugu, Hindi
Github Skills (27)
algorithm10
algorithms10
c-language10
python10
apidoc10
django10
lintcode10
data-structure10
api10
data-structures10
cpp10
cprogramming-language10
postgresql9
database-migrations9
database-migration9
Programming languages (10)
Github contributions (5)
ohcnetwork/care
Oct 2021 - Jan 2023
Care is a Digital Public Good enabling TeleICU & Decentralised Administration of Healthcare Capacity across States.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 releases, 95 reviews, 35 commits in 1 year 3 months
Contributions summary:Khavin primarily contributed to the back-end functionality of the "care" repository, focusing on the implementation of features such as CSV downloads for patient samples and the addition of discharge reasons and notes within patient consultations. They also addressed database migrations and made modifications to API viewsets, serializers, and models to support these features. Furthermore, the user added an ICD scraper feature, and they adjusted configurations for ABHA integration.
bedintegratedpatientallocationdigital-public-goods
SHY-Corp/LeetCode-Solutions
Nov 2020 - Dec 2020
A compilation of all the Leetcode solutions.
Role in this project:Back-end Developer
Back-end DeveloperContributions:24 commits, 27 PRs, 33 comments in 1 month
Contributions summary:Khavin primarily contributed solutions to LeetCode problems within the repository. These solutions were implemented in C++, demonstrating proficiency in algorithms and data structures. The contributions involve diverse problem-solving approaches, including array manipulation, linked list operations, and binary tree traversals, showcasing the user's breadth of knowledge. The solutions provide working implementations for various algorithmic challenges.
compilationcpppythonleetcodesql
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