Summer Of Bitcoin'22

• May 2022 - Aug 2022

1. Refactored LND codebase to leverage batched JSON-RPC methods 2. Provided test coverage for the expected behavior and concurrent speed-ups 3. Further enhanced its support to btcwallet repo making it compatible with asyn calls 1. Refactored LND codebase to leverage batched JSON-RPC methods 2. Provided test coverage for the expected behavior and concurrent speed-ups 3. Further enhanced its support to btcwallet repo making it compatible with asyn calls

SDE-1

• Feb 2022 - May 2022

SDE | Blockchain

• Jun 2021 - Jan 2022

1. Product Ideation and Improvements in Architecture of DAO 2. Smart Contract Development and Deployment on Tezos 3. SmartPy Testing and Debugging

Blockchain Developer

• Jan 2021 - Dec 2021

1. Worked on Tokenomics, ICOs, NFTs, Meta-txns and custom ERCs standards in live projects. 2. Created customized Token development architecture, Vesting contracts logics with proper defined edge-cases. 3. Hands-on Cross-chain bridges with Marketplace contracts and integrated them with node-backend and web3. 4. Testing and Debugging through Truffle, Ganache, Hardhat.

Smart Contract Developer

• Jun 2020 - Dec 2020

1. Solidity & Ethereum Development 2. Smart Contract integration with Web3.js 3. Testing and Debugging through Hardhat, Truffle & Ganache

Mentee

• Sep 2021 - Oct 2021

Open Source -- Learned about Lightning Network -- Hands-on with Lightning Protocol Development -- Experimented with layer 2 soln Bitcoin Open Source -- Learned about Lightning Network -- Hands-on with Lightning Protocol Development -- Experimented with layer 2 soln Bitcoin

Summer Of Bitcoin'21 (Altangent Labs)

• Jul 2021 - Sep 2021

Open Source -- Learned about the Bitcoin community -- Experimented with the dev environment -- Got familiar with Bitcoin Codebase -- Contributed to Bitcoin - Lightning Network Open Source -- Learned about the Bitcoin community -- Experimented with the dev environment -- Got familiar with Bitcoin Codebase -- Contributed to Bitcoin - Lightning Network

Research Intern

• May 2021 - Jul 2021

-- Research oriented RWP (Speed Estimation of Vehicles) -- Vehicle count estimation using AutoML -- Worked on various approaches and provided comparative analysis -- Research oriented RWP (Speed Estimation of Vehicles) -- Vehicle count estimation using AutoML -- Worked on various approaches and provided comparative analysis

Chess Mentor

• Jul 2020 - Apr 2021

Another Year , Captain & Mentor of Bennett University Chess Team (20-21) : 1. Tournament Organizer , Arbiter , Manager of Kings 64 2.0 (Intra University) 2. Defending Champion @ Heroes Challenge 2.0 BML University (Inter University) 3. 2nd Runner Up in Breeze Championship SNU (Inter University)

Chess Captain

• Jul 2019 - Jun 2020

Well kudos to the team , Proud to be the captain of Bennett University Chess Team (2019-20) : 1. Winner of King's 64 (Intra University) 2. Winner of Heroes Challenge BML University (Inter University) 3. Top-5 in Breeze Championship SNU (Inter University)

Machine Learning Intern

• Dec 2020 - Jan 2021

1. Implemented various ML Algorithms from scratch. 2. In-Depth analysis of Mathematics and Statistics required for the same. 3. Built an interactive Chatbot which required decent knowledge in both ML and NLP. 1. Implemented various ML Algorithms from scratch. 2. In-Depth analysis of Mathematics and Statistics required for the same. 3. Built an interactive Chatbot which required decent knowledge in both ML and NLP.

Research Intern

• May 2020 - Jun 2020

1. Worked on Swedish Leaf Classification and did comparative analysis of various ML/DL techniques. 2. Analyzed the usage of Transfer Learning (TL) in classification models. 3. Compared the working of TL model with different ML Algorithms. 4. Designed a dedicated CNN model for this leaf classification problem. 1. Worked on Swedish Leaf Classification and did comparative analysis of various ML/DL techniques. 2. Analyzed the usage of Transfer Learning (TL) in classification models. 3. Compared the working of TL model with different ML Algorithms. 4. Designed a dedicated CNN model for this leaf classification problem.