
Oracle Financial Software Service (OFSS)
Skills: Java, Oracle SQL, OJET, Microservices
I’m Shlok, a full-stack developer and Associate Consultant at Oracle. I build web applications with React, Next.js, TypeScript, and Node.js, working across interfaces, APIs, and databases. I enjoy understanding how the pieces fit together and making thoughtful decisions about how an application looks, behaves, and grows.
My experience spans professional work, open-source contributions, and personal projects in education and developer tools. I care about readable code, clear architecture, and learning from the people I work with. Outside work, I’m exploring system design, sharpening my problem-solving skills on LeetCode, and experimenting with ideas through projects of my own.

Skills: Java, Oracle SQL, OJET, Microservices

Developed the frontend of the GoPreg website, collaborating with the design team to create responsive and visually appealing interfaces. Also, I optimized the performance, while integrating APIs for seamless functionality. Responsible for creating the backend of a Flutter application and integrating it seamlessly using Flutter modules. Ensured efficient performance and smooth functionality through effective backend development practices. Skills: React.js, TailwindCSS, Styled Components, CSS, Redux

Played a crucial role as a front-end developer, implementing features and improvements in the TCET website. Engaged in thorough code reviews, ensuring best practices in the codebase and maintaining code quality Skills: React.js, Astro.js, TailwindCSS, Typescript
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
FixIt addresses social issues within local communities by providing a platform where users can raise and post social problems. This app facilitates community engagement and problem-solving by making it easy for users to bring attention to and discuss social concerns.
FarmEasy is designed to support farmers, public users, and government bodies in monitoring the agricultural marketplace. FarmEasy includes an inventory system for farmers, an admin dashboard, and a machine learning model for predictions.