Bio
Building a strong technical foundation while exploring ambitious ideas.
I’m a computer science undergraduate at VJTI, Mumbai, interested in reinforcement learning, generative modeling, and world models.
My work so far has been driven by curiosity and iteration: reading, experimenting, writing, and turning difficult concepts into smaller systems that can be tested and understood. I like research-flavored projects, careful technical communication, and interfaces that make technical work feel approachable.
This website brings those threads together through project pages, publication records, blog posts, and a running archive of what I am learning next.
Research
Current areas of interest
I am especially drawn to technically grounded work that balances experimentation with clarity.
I’m most energized by projects that take abstract ideas and turn them into something people can inspect, reproduce, and learn from.
Learning through interaction, decision making over time, and building intuition for how agents improve through feedback.
Studying how models represent structure, generate samples, and capture complex patterns in data.
Exploring internal representations of environments and dynamics so systems can plan, predict, and reason more effectively.
Understanding how neural networks work internally and ensuring AI systems are aligned with human values and safe.
Achievements
Selected achievements
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Paper accepted at JuliaCon 2025 — JuliaCon, 2025
Paper accepted for work on RAG workflows and FunSQL.jl integration (JuliaHealth project).
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Paper accepted at AAAI 2025 QIML Symposium — AAAI QIML, 2025
Paper on benchmarking reinforcement learning algorithms for quantum architecture search.
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Optimized precompilation times for OrdinaryDiffEq.jl — SciML, 2024
Improved precompilation times by ~76% through modularization and refactoring of solver modules.
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Finalist — Deloitte Hacksplosion Hackathon — Deloitte, 2025
Selected as one of the Top 15 finalist teams (from 2800+ teams nationwide) to compete at Deloitte Hacksplosion; finalist pitch at Deloitte's Ecospace office, Bangalore. Associated with VJTI.
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3rd Place — Secure Local RAG Challenge — Trustii.io, 2024
Placed 3rd globally in the Secure Local RAG Challenge (Trustii.io). Associated with VJTI.
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Selected — Amazon ML Summer School — Amazon, 2024
Selected for Amazon ML Summer School 2024 (competitive selection from 3000+ participants).
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3rd Place — Deloitte Quantum Climate Challenge — Deloitte, 2024
Finalist and 3rd place at the Deloitte Quantum Climate Challenge 2024; invited to the final pitch event in Düsseldorf, Germany.
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Code-A-Mania DSA Contest — 28th Rank — Rajiv Gandhi Institute of Technology, 2024
Secured 28th rank in the Code-A-Mania DSA contest.
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Honourable Mention — CTF (Digital VJTI) — Digital VJTI, 2024
Received an Honourable Mention in the Capture The Flag (CTF) event organized by Digital VJTI.
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Advanced Badge — IBM Quantum Challenge 2024 — IBM, 2024
Awarded the Advanced Badge for completing all challenges in the IBM Quantum Challenge 2024.
Blogs
Recent posts
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