Thoughtful engineering.
Systems you can rely on.
I build backend systems, applied AI, and data infrastructure—turning complex problems into software that works.
Two systems built across the full stack —
from product surface to protocol core.
A medication-adherence ecosystem: smart reminders, a visual intake matrix, an AI assistant that accepts natural-language schedule changes, and a connected pillbox — one loop from prescription to habit.
A sovereign Layer-1 blockchain in Go: an EVM execution layer, zero-knowledge shielded transfers, passkey accounts with FaceID, and sub-2-second deterministic finality — exercised by adversarial multi-node tests.
A few systems I’ve helped build.
And the details that made a difference.
From scattered papers to a searchable research library. Automated metadata extraction and natural-language discovery, built around how researchers actually work.
Explore the case studyIllustrative workflow · explore the engineering above
Smaller containers. Event-driven services. Reliable delivery. Engineering the details that help production systems run better.
Finding repeated meaning in differently worded records. A MongoDB-backed pipeline combining HDBSCAN clustering and LLM verification.
Shared scenarios · WebSocket synchronization
The Combat Management System Training System. Node.js backend architecture and real-time synchronization between trainee consoles and the simulation server.
Packet-level inspection · Real-time monitoring
A dedicated summer internship assignment: decoding and monitoring real-time UDP streams from naval equipment.
Slides → structured data → checks
Document processing at AlgoAnalytics: Docling extraction, end-to-end validation, and reproducible delivery.
Developed and audited research infrastructure across AWS, Stanford’s Sherlock cluster, and local analysis environments.
Product Development Intern · On-Prem REST API connector
Cut container size by 86%, implemented SSE across three microservices, and fixed a Redis race condition causing duplicate delivery. Authored the team’s standard multi-container deployment workflow.
Docker · Redis · SSE · Top performer & PPOResearch collaboration with Mridul Joshi, Researcher at Stanford
Built Research Companion with Python/FastAPI RAG, vector search, and a MERN backbone. Separately engineered semantic deduplication and audited field-experiment data infrastructure.
Python · FastAPI · MERN · HDBSCAN · AWS / SherlockData Science Intern
Migrated document processing to Docling, built end-to-end testing and validation frameworks, and automated Dockerized deployments for reproducible ML delivery.
Docling · Pipeline validation · Docker · MLOpsSWE Intern — Indian Navy Project CTS-71
Engineered the Node.js backend for the Combat Management System Training System: 200+ RESTful APIs, real-time console synchronization, and integration with naval training infrastructure.
Node.js · 10+ simultaneous WebSocket connectionsSummer SWE Intern · Packet Analysis
Developed a high-speed C++ packet analyzer to decode and monitor real-time UDP streams from naval equipment. A separate assignment preceding the CTS-71 internship.
C++ · UDP · Real-time packet monitoringI like the part of engineering where the answer isn’t obvious yet. Following a strange result back to its source. Turning a broad idea into something useful. Making a system a little more dependable.
I’m studying Information Technology at Pune Institute of Computer Technology, graduating in 2027. My work has taken me from real-time simulation to research tools and production infrastructure.
COEP Software · HackSprint Software
JSPM National Project Competition · 2025
Round 2 finalist · 2025
Top 5 · Special mention · 2025
Have a role, a project,
or a difficult problem in mind?