I’m a passionate Full-Stack & Mobile App Developer who loves turning ideas into robust, scalable software. I specialize in MERN-stack development, UI/UX design for mobile apps, and AI automation to streamline QA processes.
I’ve completed internships at Anedium AI Pvt Ltd and MCR Web Solutions, where I built RESTful services, streamlined registrations for large member bases, and led UI improvements. I enjoy collaborating with cross-functional teams and continually expanding my skills in cloud, DevOps, and AI-enabled development.
Skills
Experience Level
Work Experience
Education
Qualifications
Industry Experience
A system designed to manage the complete supply chain of a lunch box delivery service. It tracks orders, daily deliveries, customer plans, inventory, and real-time status of boxes. The system helps the business reduce errors and manage operations more efficiently.
My Role:
Built the workflow and UI
Integrated backend logic
Worked on order tracking features
Tested and optimized the system
A web platform built for the Youth Cultural Association to manage 1100+ members. The app supports event updates, membership handling, announcements, gallery uploads, and communication.
My Role:
Designed the interface and layout
Developed the full stack website
Connected admin features and member modules
Ensured smooth performance during use
A full-fledged college web application created for SRKR Campus Online. It provides students with essential features like buying/selling products, posting services, sharing academic resources, and accessing campus information.
My Role:
UI/UX design and front-end development
Integrated backend APIs
Improved site structure and user experience
Handled deployment and maintenance
A real-time pothole detection solution using computer vision. The system identifies potholes from live camera footage or uploaded road images and highlights risky zones. It helps municipal authorities make faster decisions on road repairs.
My Role:
Implemented the ML/CV model
Built the detection pipeline
Created the dashboard to show results
Evaluated accuracy and performance
A Retrieval-Augmented Generation (RAG) based document management platform that allows users to upload files and get accurate AI-generated answers from the documents. The system supports PDF ingestion, semantic search, and natural language querying with high accuracy using embeddings.
My Role:
Built the document upload and processing pipeline
Implemented vector search and RAG architecture
Designed the clean and simple UI
Integrated LLM responses
A web-based system designed to automate the process of assigning exam seats to students. It reduces manual work by generating seating plans, hall allotments, and student-wise arrangements with just a few clicks. The system ensures accurate seat distribution, avoids duplication, and improves overall exam coordination.
My Role:
Designed the UI/UX
Developed front-end pages
Integrated backend logic for seat allocation
Tested and deployed the system
Hire a Full Stack Developer
We have the best full stack developer experts on Twine. Hire a full stack developer in Hyderabad today.