Quick Impact
Build & Ship
Full-stack apps with secure auth, clean APIs, and production deployments.
Cloud Ready
Docker + CI/CD mindset, AWS services, scalable backend patterns.
Applied ML
Practical ML projects (CNN-LSTM) focused on measurable user value.
About Me
I’m a Master’s student in Computer Science at Indiana University (May 2026) with a background in computer engineering and hands-on experience building full-stack products and applied ML systems.
I enjoy building clean, scalable software — from backend APIs and databases to modern UIs — and deploying end-to-end solutions. I’m currently looking for opportunities where I can contribute to real products and grow fast with a strong engineering team.
Academics
Master of Computer Science
Indiana University Bloomington
GPA: 3.8 / 4.00
Expected: May 2026
Relevant: Applied Algorithms, Applied Machine Learning, Operating Systems, Cloud Computing
B.Tech. in Computer Engineering
DDU, Nadiad, India
GPA: 8.17 / 10.00
Graduated: May 2024
Skills
Core
JavaScript • TypeScript • Python • Java • C/C++ • C# • HTML • CSS
Frontend
React • Next.js • Redux • Tailwind • Material UI • Angular
Backend
Node.js • Express • Flask • Spring • REST APIs • Auth (JWT)
Cloud & DevOps
AWS • Docker • Kubernetes • Git • CI/CD fundamentals
Databases
PostgreSQL • MongoDB • Firebase • Oracle • NoSQL
ML / Data
CNN-LSTM • NumPy • Model evaluation • Data pipelines (basic)
Projects
A few projects that show product thinking, clean engineering, and measurable impact.
HandyHouse Services
FeaturedA household services platform connecting users with service providers — focused on clean UX, secure workflows, and scalable APIs.
- End-to-end product flow: booking → tracking → completion
- Authentication + protected routes + structured data models
- LLM-powered assistance for search/help (Gemini)
Image Caption Generator
Built a CNN-LSTM model to generate image captions, improving content clarity and user engagement.
- ~67–70% caption accuracy (project evaluation)
- Focused on real UX outcomes: clarity + engagement
Kitchen Diaries
Cross-platform recipe sharing app enabling users to post, explore, and collaborate on recipes.
- Auth + content posting + browsing experience
- Mobile-first UX focused on discovery
Inordery
MERN stack order management system inspired by restaurant workflows, improving order tracking and fulfillment.
- Real-time workflow coordination between staff roles
- Optimized UI for speed + fewer operational mistakes
Work Experience
Software Engineering Intern
Dec 2023 – Mar 2024
Institute for Plasma Research, Gandhinagar, India
- Worked with prototype systems and instrumentation software stack (EPICS/IOC and supporting tooling).
- Monitored and stored live data streams using Python tooling and robust logging practices.
- Built a PyQt5-based UI dashboard to visualize system status and key metrics.
- Designed a single-screen console to monitor multiple prototype systems efficiently.
Certificates
Infosys C# Certificate
View CertificateFrontend Certificate: Basics to Advanced
View CertificateCSS Certificate
View CertificateContact
Want to collaborate or discuss an opportunity? I reply quickly.
+1 930-904-0235