Full-Stack Developer
About Me
I’m an innovative full-stack developer with a passion for crafting scalable, high-performance applications from the ground up. I love diving into projects and implementing the latest features into it, honing my skills as a developer and student.
Always Leveling up!
Keeping up with the latest trends and technologies.
Education
The George Washington University
MS in Computer Science
August 2023 - May 2025
MS Ramaiah University of Applied Sciences
B.Tech in Computer Science
August 2018 - August 2022
Experiences
Here's a glimpse into the journey that shaped who I am today.
September'22 - June'23
September'22 - June'23
Inside FPV Ltd - Surat, India
Software Developer
- Developed scalable web applications using React Native (TypeScript) to enhance efficiency and maintainability.
- Designed and implemented serverless microservices with AWS Lambda (Python) for high availability and fault tolerance.
- Built robust backend systems with Node.js, integrating APIs (Stripe, AWS Cognito, Firebase) for security and seamless integration.
- Collaborated with cross-functional teams to resolve technical issues through code reviews, unit testing, and debugging.
June'22 - August'22
June'22 - August'22
Technocolabs Inc - Bangalore, India
Data Analyst Intern
- Devised and optimized machine learning models using Python, reducing computation time by 20%.
- Designed and implemented serverless microservices with AWS Lambda (Python) to ensure high availability and fault tolerance.
- Processed large-scale datasets in distributed environments and collaborated with teams to support data-driven decision-making.
September'21 - January'22
September'21 - January'22
Sckilled Inc – Remote
Web Developer Intern
- Developed a full-stack job search platform using React.js, Flutter, and Node.js, focusing on responsive front-end design and performance optimization.
- Integrated RESTful services to improve application reliability and data flow.
January'21 - June'21
January'21 - June'21
The Sparks Foundation – Bengaluru, India
Mobile App Development Intern
- Assisted faculty with course material and student queries.
- Helped conduct lab sessions and provided coding support.
- Graded assignments and mentored peers in technical subjects.
Projects
A small selection of recent projects
Dieseas Detection using xRAY
Created a Convolutional Neural Network which will be able to detect and classify human diseases (i.e. Pneumonia, Covid-19, Tuberculosis) from chest x-ray images. Also make use of different layers and other hyperparameters for building, training and testing this classification model by using tensorflow and keras for this project.
