Jeyavarthini
About
Detail-oriented, Self-motivated Computer Science and Engineering graduate, with hands on experience in full-stack development, API integration, and cloud deployment. Proven ability to build reusable components with React and TypeScript, and develop REST APIs using Node.js and Express.js. Contributed to a deepfake detection model using Python and deep learning techniques, deploying it on AWS. Eager to leverage technical skills in software development and contribute to innovative projects.
Skills & Expertise (21)
Work Experience
Intern
Formoplastic Controls
Apr 2026 - Aug 2026
Developed and deployed a full-stack Project Management Application to manage departments, projects, operations, jobs, and workflow-related activities. Built reusable React and TypeScript components including forms, dashboards, data tables, headers, side panels, and navigation menus. Integrated frontend modules with REST APIs to create, retrieve, update, and display project and job-related data. Implemented routing, form validation, API error handling, loading states, and responsive UI improvements across the application.
Intern
Siemens Advanta
Jul 2025 - Feb 2026
Developed and deployed REST APIs using Node.js and Express.js to process queries, improve response flow, reduce redundant requests, and integrated the module with an existing enterprise application. Built and integrated Angular components (TypeScript) including forms, dashboards, and data tables to embed the feature into the existing application workflow. Handled API integration, request validation, and error handling to ensure reliable communication between frontend and backend services. Optimized API routes to improve response flow, reduce redundant requests.
Intern
Amazon AWS - National University Of Singapore
Jun 2024 - Jun 2024
Undergone theoretical learning, knowledge sharing workshops and project work on Big Data Analytics using Deep Learning. Worked on a deepfake detection model using Python and deep learning techniques. Performed data preprocessing and feature engineering on the FaceForensics++ dataset to improve model accuracy. Deployed the model using AWS cloud services for scalable experimentation. Documented workflows and collaborated with peers in an Agile research environment.
Education
B.Tech / B.E. in Computer Science and Engineering - SRM University, Chennai
- 2022 ยท Afghanistan
Certifications
No certifications added yet
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Open to Relocation
Skills (21)
Click a skill to find developers with the same skill