May 2025 – Aug 2025 · 3 mos

• Braidpool, a blockDAG-based mining protocol, addresses this centralization by reimagining how miners collaborate. Unlike traditional pools that depend on centralized coordinators, Braidpool uses a Directed Acyclic Graph (DAG) structure to enable decentralized coordination. Miners contribute computational power without surrendering control to a central authority, trusting the protocol’s cryptographic rules instead of intermediaries.

Mar 2025 – May 2025 · 2 mos

• Summer of Bitcoin is a global, online summer internship program focused on introducing university students to bitcoin open-source development and design. I participated in an intensive, hands-on bootcamp which help me dive deep into the bitcoin world.

Mar 2025 – Present · 1 yr 3 mos · Pune, Maharashtra, India · Remote

• This summer, our main goal is to create a helpful AI Teaching Assistant bot. It'll be a go-to for student and teacher questions, code reviews, and answer clarifications.
• We're focusing on making its Python script faster (it's a bit slow right now), adding an engaging UI, and setting up the backend to make it all work seamlessly. We'll likely add a new way for it to connect to the system, too.

May 2024 – Oct 2024 · 5 mos · Remote

• OmegaUp is a free educational platform that helps coders improve their programming skills, used by thousands of students and teachers in Latin America. Currently, to create problem on OmegaUp, we need to rely on an external website. Brief Description of the project: Migrate the Problem Creator to Vue.js + Typescript so it can be integrated into omegaUp.com rather than remain as an external website. Expected results: Users can use the Problem Creator without having to go to an external website to create a zip to upload to omegaup.com.
• https://omegaup.com/problem/creator

May 2023 – Nov 2023 · 6 mos · India · Remote

• The Mathesar Data Explorer enables an action called “Summarize” that let a user view a summary of their data, which is in fact an aggregation of some column(s), grouped by some other column(s). Currently, the only possible aggregation functions are counting or listing. This proposal aims that at the end of GSoC '23 period, there will be more aggregation functions (Mean, Median, Sum, Min, Max) will be available to the user to transform the data.

Oct 2024 – Mar 2025 · 5 mos · Remote

• Working on the AI teaching assistant project to enhance the students and teachers experience leveraging LLMs.

Jul 2024 – Aug 2024 · 1 mo · India · Remote

• Learned a few core topics of machine learning (supervised learning, unsupervised learning, reinforcement learning, deep learning, and LLMs).

May 2024 – Aug 2024 · 3 mos · Singapore · On-site

• Worked on exploring the Hamiltonian Path problem and the hardness result of its NP completeness. Studied a lot of papers on parameterized algorithms and pseudorandomness.

Oct 2023 – Oct 2023 · 0 mo · India · Remote

• Worked on contributing to an open-source repo based on algorithms. Worked on reviewed many pull requests in that span of time.

Aug 2023 – Oct 2023 · 2 mos · Austin, Texas, United States · Remote

• Contributed to Meshery (by Layer5) which is an ongoing project under CNCF. Worked with Golang, learnt a lot about networking and DevOps.

May 2023 – May 2023 · 0 mo · Remote

• Worked on creating an examination system for the students of NAEST, an initiative by H.C. Verma. My primary work was to develop the back-end and the testing framework in Django REST framework.

Mar 2023 – May 2023 · 2 mos · Remote

Mar 2023 – Sep 2023 · 6 mos · India · Remote

• Mathesar is a tool aiming to deliver database assets to non-technical personnel. Currently, am contributing to adding new features and fixing bugs reported by the users and the developers.

Jun 2022 – Aug 2022 · 2 mos · Greater Kolkata Area · On-site

• Summer Intern as Technology Consultant at PwC India, Kolkata.
• Mainly worked on a Data analytics project using Azure Data Factory (ADF) and created notebooks and pipelines to automate queries and updations.
• Used SQL and python modules like Pandas, NumPy and Apache Pyspark.