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followers: 30.0 following: 24.0 repos: 39.0 gists: 0.0

Name: Akshat mangal

Type: User

Company: Indian Institute of Information Technology, Gwalior

Bio: MLH Fellow'22 @ Solana | Former Intern @ Cypherock | IIIT Gwalior'24

Location: India

Hi there 👋

I'm Akshat, a fourth-year student at IIIT Gwalior pursuing Integrated Masters in Information Technology. I have extensive hands-on experience with Typescript, React.js, Next.js, Node.js, Rust, NLP and Deep learning.

👨‍🎓 Here's my Resume.

Work Experience

🏢 Company	💼 Role	⏰ Duration
Rudderstack	SDE Intern	May 2023 - June 2023
Cypherock	SDE Intern	Jan 2023 - March 2023
Vyper Protocol	Open Source Developer	Aug 2022 - Dec 2022
Major League Hacking	Software Engineering Fellow	May 2022 - August 2022
Crio Winter of Doing	Externship	Feb 2021 - March 2021

Open Source Contributions

Vyper SDK - Merged around 11 Pull Requests
Vyper CLI - Merged around 18 Pull Requests

My Projects

👩🏻‍🏫 E-Gurukul, an e-learning management portal for institutions.
🧿 Quick Poll, a web based polling application.
🩸 Ofactor, a web app for medical organisations to find blood donors.
💰 Jumbocash, a cash flow management portal for MSME's.
🕛 Dev Friend, A VS Code extension to enhance developers productivity.
👩🏻‍🏫 Sam Vedah, an application to find free mentors for school students.

You can find me on LinkedIn, or you can email me. Thanks!

Akshat mangal's Projects

algorithms

A repository to contribute algorithms in different languages as a part of 'Quarantine of Open Source' event.

arnabsen1729

assignment

bloodfinder-frontend

A react-redux based frontend for bloodFinder-API

bloodfinderapi

crypto-calculator

An easy way to see real-time exchange rates for Solana Ecosystem and tokens.

cses-guide

A complete set of editorial for CSES problem set.

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.