I'm a Computer Science undergraduate at Hansraj College, University of Delhi, interested in building high-performance backend systems, distributed infrastructure, low-latency applications, and developer tools.

Currently working as an AI Software Engineer at Fin-i, where I work on portfolio systems, trading infrastructure, data pipelines, and scalable backend services.

I enjoy working close to the system — concurrency, networking, databases, distributed systems, performance optimization, and infrastructure.

• 🏎️ Low-Latency Systems — matching engines, trading systems & portfolio infrastructure
• 🗄️ Database Internals — MVCC, WAL, B+ Trees & query optimization
• 🌐 Distributed Systems — Kafka, Kubernetes, WebSockets & WebRTC
• 🤖 AI Infrastructure — RAG pipelines, vector search & AI-assisted applications
• ☁️ Infrastructure & DevOps — Docker, Kubernetes, Jenkins & cloud deployments

A high-performance order matching engine designed around strict price-time priority.

• 4.01M matched orders/sec
• 249.6 ns/op single-core performance
• O(1) best-price lookup using dual price ladders
• Thread-safe engine operations with zero data races
• Supports GTC, FAK, FOK, Good-for-Day and Market orders
• Mutation-free Fill-Or-Kill prechecks

Building a storage/database engine in Go featuring:

• MVCC
• Write-Ahead Logging
• B+ Tree indexes
• Cost-based query optimization

A distributed deployment platform experimenting with:

• Kafka-backed job queues
• Containerized build workers
• Kubernetes build swarms
• Real-time build log streaming

Peer-to-peer file transfer system built around:

• WebRTC
• DTLS encryption
• STUN
• NAT traversal
• Direct peer-to-peer communication

AI-powered expense splitting infrastructure using:

• Cloudflare Workers
• Cloudflare D1
• AI-based expense parsing
• Atomic ledger operations

• 🥈 2nd Place — Smart India Hackathon 2025 Internal Hackathon
• Built a RAG system using LangChain for ARGO oceanographic data
• Reduced analysis workflows from 7+ days to near real-time
• Compressed 200+ GB of NetCDF data to ~700 MB of Parquet data
• Development Head at the Department of Computer Science, Hansraj College
• Evaluated 35+ hackathon teams across 8 states

Working on high-performance portfolio and financial infrastructure.

• Portfolio rebalancing systems
• AI-assisted asset allocation
• Low-latency backend services
• PostgreSQL performance optimization
• Data ingestion pipelines
• Dockerized deployments
• Trading and portfolio management infrastructure

Distributed Systems
Database Internals
Low-Latency Engineering
Backend Architecture
Financial Systems
Networking
Concurrency
Cloud Infrastructure
Open Source