Technical Skills
Frameworks
AI Tools
Programming Languages / Technologies
Platforms
Tools
Operating Systems
Industry Skills
Experience
RNTBCI (Renault Group)
Job Description:
- Build full-stack applications that provide AI-powered insights for supplier risk assessment, procurement, and sustainability, enabling businesses to cut through paperwork and make data-driven decisions.
- Work with a core stack of Next.js, React, and Tailwind CSS on the frontend, and NestJS, Postgres, and Java on the backend.
- Bring hands-on experience with Node.js, Express, MongoDB, and MSSQL, with strong expertise in both SQL and NoSQL systems.
- Passionate about scalable architecture, clean code, and continuous learning to deliver reliable and efficient solutions.
- Currently sharpening skills in Java, MCP servers, and vibe coding, with plans to explore Go, Rust, and C for deeper systems-level knowledge.
invest4Edu
Job Description:
- Developed and maintained full-stack applications using Next.js, React, Node.js, and MSSQL, contributing to the core platform of a fast-paced edtech startup.
- Built complex, high-performance UIs including dashboards, charts, filters, and authentication flows using Material UI, Highcharts, and custom components, while modernizing code from class-based to functional React patterns.
- Led SEO optimization efforts by migrating the application to Next.js, leveraging Server-Side Rendering (SSR) and caching to improve search visibility and performance.
- Contributed to the development of a sales and employee CRM, implementing scalable frontend solutions with React Hook Form, shadcn, Tailwind, and Zod, and writing optimized SQL queries to improve backend efficiency.
- Thrived in a high-pressure startup environment, rapidly learning new tools and frameworks, delivering production-grade features on tight timelines, and significantly expanding technical expertise.
Tata Consultancy Services
Job Description:
- Contributed to the development and maintenance of a global HCM (Human Capital Management) platform used by 10,000+ employees across four regions: Americas, APAC, EMEA, and Japan.
- Designed and supported custom interfaces tailored to client requirements, improving usability and streamlining HR processes for diverse user groups.
- Implemented data visualization and analytics features using Recharts, React Hooks, and Fetch API, enabling stakeholders to gain actionable workforce insights.
- Integrated secure authentication flows with JWT, ensuring compliance and robust access control across multiple regions.
- Recognized with a 5-star client rating for delivering reliable solutions, clear communication, and timely updates.
Academics
CGPA 8.56
95%
CGPA 9.8
Projects
Experimenting and learning django authorization and authentication
Implemented Social Authentication - Via Google, Also Refresh and Access Token implementation.
On the Frontend part next js and using middleware, server actions, etc....
Docker to spin up both frontend and backend.
Poker Planner is a hassle-free planning tool where users can create or join rooms without any signup or login process. Just hop in and start collaborating instantly.
A room host initiates the session, and participants can vote on tasks or estimates. Results are visualized with sleek bar graphs for clear insights.
Built with Next.js and shadcn/ui on the frontend for a fast and beautiful user experience. The backend combines HTTP and WebSocket protocols with PostgreSQL for real-time updates and reliable data storage.
This project is designed to keep track of sports events happening in the college and is based on the LAMP (Linux, Apache, MySQL, and PHP) stack. The website is built from scratch, making use of PHP and MySQL to power the backend, and plain HTML and CSS for the frontend. Additionally, Bootstrap was later implemented to keep the design consistent. Despite being my first project, the website is effective in its goal of maintaining records and delivering an efficient user experience.
The app performs Sentiment Analysis on tweets retrieved through the Twitter API, utilizing Django - a powerful Python-based Web Framework - to power its functionality. The classification of tweets is performed using the Naive Bayes algorithm, allowing for accurate and effective sentiment analysis. Together, these features enable the app to deliver reliable and informative insights into the sentiment of the tweets analyzed.
Empower your finances with our Bootstrap and Django-powered web app. Seamlessly track income and expenses, while elegant cards display salary, month-end balance, and total expenses. Engage with captivating visualizations like histograms, bar graphs, and pie charts. Effortlessly analyze and manage your money with the added convenience of generating CSV files. Upgrade your financial management with our sleek and feature-rich solution.