About Me
I'm a software engineer with a passion for building high-performance, scalable systems. With an M.Tech from IIT Delhi in Computer Science, I bring strong fundamentals in system design, algorithms, and applied AI.
Currently, I'm leading engineering efforts at DENSO Japan, Tokyo as an SDE-3, where I own system architecture and delivery for automotive software platforms. My work spans edge computing, cloud infrastructure, real-time voice AI, and developer tooling.
I enjoy working across the stack — from building CLI tools and gRPC services to designing React frontends and deploying containerized services on AWS.
Here are a few technologies I've been working with:
- ▹Python
- ▹LoRA
- ▹QLoRA
- ▹RAG
- ▹Small Language Models
- ▹Vector Search
- ▹Edge Deployment
- ▹NLP
- ▹MiniLM
- ▹Document Processing
- ▹gRPC
- ▹LLM
Experience
- DENSO CorporationTokyo, JapanSoftware Development Engineer-3April 2025 – Present
Team Lead, Project Owner
Leading projects and owning system architecture and delivery in automotive software systems.
Software Development Engineer-2April 2022 – March 2025Software Engineer
- DIIN, Denso International IndiaGurugram, Delhi-NCR, IndiaSoftware Development Engineer-1October 2020 – March 2022
Software Engineer
- Tensor Dynamics Private LimitedIIT Delhi, Delhi, IndiaProject InternOctober 2018 – December 2018
Project Intern
- Plaksha Technology Leaders FellowshipGurugram, Delhi-NCR, IndiaTeaching AssistantSeptember 2020 – March 2021
Academic Support
Projects
- Project
On-Device Automotive AI Assistant Platform
A scalable platform that converts automotive documentation into deployable vehicle-specific AI assistants using a hybrid SLM + RAG architecture with query routing for optimal latency-accuracy trade-offs.
Enabled OEMs to generate offline-capable, vehicle-specific AI assistants with sub-200ms response latency and grounded factual accuracy.
- Python
- LoRA
- QLoRA
- RAG
- Small Language Models
- Vector Search
- Edge Deployment
- NLP
- MiniLM
- Document Processing
- Project
Quad-AI Voice Assistant System
A real-time voice-based conversational AI orchestrator for Raspberry Pi with wake word detection, VAD, STT, TTS, LLM integration, and Acoustic Echo Cancellation. Includes MCP tool integration for synchronous and asynchronous tool execution with progress polling.
Built a Siri-like AI assistant with LLM-powered tool orchestration and real-time voice processing.
- Python
- gRPC
- LLM
- AWS Bedrock
- Faster Whisper STT
- AWS Transcribe
- Porcupine
- AEC
- VAD
- AWS Polly
- MCP
- Docker
- Raspberry Pi
- OpenAI API
- Rust
- Tokio
- Project
Quad-Terminal
A web-based terminal for edge devices enabling interaction with Dockerized microservices via WebSockets and remote cloud access.
Reduced cloud operational costs by ~20% and improved system performance by consolidating microservices.
- React
- TypeScript
- NodeJS
- Docker
- AWS ECS
- AWS ECR
- WebSockets
- gRPC
- AWS CDK
- REST APIs
- NGINX
- Jest
- Project
Quad-Installer
An NPM-based CLI tool for automating deployment and lifecycle management of Dockerized microservices on edge devices.
Enabled automated deployment, remote monitoring, and self-updating infrastructure for edge systems.
- TypeScript
- Node.js
- Docker
- SystemCTL
- AWS S3
- AWS Cognito
- AWS CDK
- gRPC
- Jest
Education
2018 - 2020 M.Tech. — Computer Science and Engineering
Indian Institute of Technology, Delhi
2013 - 2017 B.Tech. — Computer Science
University of Delhi
Achievements
Achieved All India Rank 453 (99.6 percentile) in GATE 2018 among 107,893 candidates.
Won Game Development Hackathon by redesigning 'Paratroopers' with multiple levels and power-ups using Unity3D.