Software Engineer focused on product delivery, platform reliability, and practical AI-driven systems.
About Me
Building useful software with speed, quality, and ownership.
Bio
I am a Software Engineer motivated by one idea: software should make life easier. I enjoy turning complex business workflows into simple, reliable products that teams can operate confidently.
I value clear architecture, measurable impact, and engineering culture that balances speed with quality. I strongly believe in open data and open-source software.
Team Leadership
AI Systems
Automation
Product Engineering
5+ Years
Experience
14 Engineers
Largest Team Led
4x-5x
YoY Growth Impact
Monthly
Release Cadence
Core Strengths
System Design
Python
Computer Vision
Backend Services
Automation Frameworks
Performance Optimization
Hiring and Mentoring
Experience Timeline
Team Lead | SwitchOn
July 2022 - Dec 2025- Directed a cross-functional team of 14 engineers across frontend, backend, and QA.
- Recognized as a founding member and contributed to growth in a Series-A funded startup.
- Implemented delivery processes that enabled stable monthly release cycles.
- Built a custom automation framework that improved testing efficiency and reliability.
Software Engineer | SwitchOn
Sept 2020 - July 2022- Led early-stage product development from requirements gathering to architecture design.
- Reduced customer feasibility testing from 3 days to around 1 hour.
- Optimized AI pipelines with shared memory and multiprocessing (60ms to 10ms).
- Supported recruitment and defined smooth client handover processes.
Software Engineer | Intozi Tech Pvt Ltd
Jan 2020 - Jun 2020- Presented product demos to enterprise and government stakeholders, including Addl. CP of Mumbai.
- Integrated algorithms on Nvidia Jetson Nano and Intel Movidius platforms.
- Implemented object tracking and monitoring algorithms for production systems.
- Built optimized, deployable face detection/recognition SDKs and installers.
Computer Vision Intern | Intozi Tech Pvt Ltd
Jul 2019 - Dec 2019- Revamped a mapping pipeline for RADAR world-coordinate to pixel-coordinate conversion.
- Developed calibration software for IoT and computer-vision products from scratch.
- Optimized product performance with improvements reported at approximately 150%.