Iamasoftwareengineerwithnearlytwoyearsofexperiencespecializinginfull-stackwebandmobileapplicationdevelopment.Mybackgroundincludesasolidfoundationinbuildingapplicationswiththe MERNstack,Next.js,ReactNative,aswellaspracticalexperiencewith.NET(C#)frompreviousprojects.Iamparticularlyenthusiasticaboutapplyingmyskillstocreatemodern,well-engineeredapplications,andIhaveaprovenabilitytointegrateAI/MLtosolvereal-worldproblems.Forexample,I'vehadhands-onexperienceindeploying AI-basedmicroservicestoAWSusingDocker,andIamdriventoturnnewideasintoreliable,high-performanceapplications
I contributed as a developer on the WebMinds agency website. My responsibilities included developing key sections (Header, Hero with GSAP scroll-trigger animations, Works, Projects, Contact, and Footer), fixing bugs, improving performance, and handling deployment and maintenance. The site was built using Next.js, Tailwind CSS, and GSAP, and is hosted on a Hostinger VPS.
EvalGenie is my final year research project—an AI-powered autograding system. I led the team and developed the programming assignment autograder, focusing on method-level evaluation, structural checks, and partial marking using CodeBERT. The system uses a microservices architecture, deployed on AWS ECS with Docker, and includes a CI/CD pipeline for automated deployment.
FitLove is a social fitness web app built with Spring Boot and React. Users can share workouts, meal plans, and connect through posts, likes, and comments. I developed core features like authentication, content sharing, and the social feed, using MySQL for data storage.
I enjoy building fast, user-friendly, and scalable solutions—from responsive websites and mobile apps to AI-powered tools and browser extensions. My work combines clean design, solid backend architecture, and real-world functionality. Click “View More” to explore more of my work, or visit my GitHub to see all public repositories.