Engineer at the intersection of software, AI & medicine
I like turning messy real-world problems into clean, reliable systems, and documenting what I learn so others can move faster.
My story
I'm a Medical Electronics undergrad who found a home in software. What started as curiosity about how medical devices work became a love for building the software and AI that makes them smarter. Today I move fluidly between frontend, backend, and machine learning, always with a bias toward shipping.
What I enjoy building
- Full-stack products with thoughtful, fast UIs
- Applied-AI systems for imaging and diagnostics
- Developer-friendly tools and clean architectures
- Anything that blends hardware, data, and software
🎓 Education
B.E. Medical Electronics Engineering at BMS College of Engineering (2023 to Present).
🎯 Career goals
Grow into a strong software + AI engineer, contribute to impactful healthcare tech, and keep writing.
🌱 Currently learning
Distributed systems, advanced PyTorch, and cloud-native development.
A timeline of my journey
Started B.E. in Medical Electronics
Began at BMS College of Engineering, drawn to the meeting point of hardware, signals, and software.
Fell for AI & research
Built my first medical-imaging model (retinal vessel segmentation) and got hooked on applied AI.
Clinical and embedded experience
Interned in biomedical engineering and prototyped the Smart Injector, which bridges devices and code.
Full-stack engineering
Joined Scoop Labs as an SDE intern, shipping production web systems and writing about the journey. Now interning at Moog as an Academic Intern.