Computer Science undergraduate at MNNIT Allahabad. Engineering high-performance systems, reinforcement learning engines, zero-trust cloud architectures, and operational defense platforms.
Bridging low-level systems programming with modern distributed architectures and intelligent reinforcement learning algorithms.
I am a Computer Science & Engineering undergraduate at Motilal Nehru National Institute of Technology (MNNIT) Allahabad. My engineering work ranges from kernel-adjacent C++ reinforcement learning engines to high-security distributed document networks for defense operations.
During my internship at Microsoft, I engineered core threat intelligence integrations for Microsoft Defender, scaling STIX relationship modeling and binary analysis workflows. At the
Indian Air Force, I spearheaded mission-critical platforms including zero-trust PDF distribution (VayuReader) and celestial coordinate visualization systems (Astara).
Multithreaded C++17, LibTorch, DAG-based state reuse, and low-latency cache-coherent memory layouts.
End-to-End encryption, DPoP tokens, Request Signing, replay protection, and air-gapped delivery architectures.
AlphaZero policy-value MCTS, custom PatchNet architectures, and grounded RAG multi-agent pipelines.
INAO Top 1% state selection, high-precision celestial ephemeris calculations, and real-time star mapping.
Delivering high-stakes software engineering for enterprise cloud security and defense platforms.
Deep dives into celestial mechanics, zero-trust distribution, self-play reinforcement learning, and multi-agent RAG systems.
A high-precision mobile planetarium & celestial visualization platform developed for the Indian Air Force. Renders real-time stellar coordinates, constellations, and ephemeris data for navigation and operational training.
Scalable platform for secure PDF management, content discovery, and administration. Engineered with a configuration-driven architecture balancing low-latency delivery with high-grade data protection across web admin, mobile, and CLI clients.
Self-play reinforcement learning engine combining dual policy-value neural networks with asynchronous Monte Carlo Tree Search (MCTS). Engineered from scratch in modern C++17.
AI-powered automated news synthesis platform featuring multi-agent scraping, vector retrieval, and conversational grounded search. Built during Hack36 8.0 national hackathon.
Live sandbox environments demonstrating distributed security trade-offs, celestial coordinate projections, and reinforcement learning tree searches.
Full-stack platforms, developer tooling, and embedded systems — shipped from scratch.
Full-stack no-code website builder engineered from scratch — drag-and-drop canvas editor, reusable component library, live preview, built-in SEO tooling, and real-time team chat powered by Socket.IO with infinite scroll, read receipts, and group management.
Embedded systems hardware-software collaboration for real-time sensor display and low-power microcontroller telemetry.
Intelligent CLI command assistant providing contextual terminal syntax completion and natural language translation.
Click or hover any skill to highlight where it was engineered across my projects.
Competitive programming ratings, national hackathons, and academic fellowships.
Ranked in the top tier globally among competitive algorithmists.
Strong speed and mathematical problem solving under time constraints.
Selected among the top science students nationwide in India.
Indian National Astronomy Olympiad state selection for celestial mechanics.
36-hour flagship national hackathon at MNNIT Allahabad with Distill News.
MNNIT annual premier competitive programming championship.