Full-Stack Developer Candidate

GOWTHAM GOPI

Karaikudi, India 744-***-**** ***************@*****.***

LinkedIn: linkedin.com/in/gowthamgopi GitHub: github.com/Gowtham-Gopi Full-Stack Developer Python · React.js · FastAPI · Flutter · PostgreSQL Executive Summary

B.Tech student at Thiagarajar College of Engineering with a 9.55 CGPA and hands-on experience building software solutions and automating business operations. Developed and deployed a custom invoice processing application for Sri Vishnu Automobiles that reduced manual billing time by 90% and improved workflow efficiency. Seeking an internship opportunity at VDart to contribute to software development and workflow automation by building practical solutions that create measurable business impact.

Education:

B. Tech: Computer Science and Business Systems Expected in May 2029

Thiagarajar College of Engineering Madurai

CGPA: 9.55

12th Grade May 2025

Muthiah Alagappa Matric Higher Secondary School Karaikudi Percentage: 95.83%

Skills

• Languages: Python, JavaScript, C, Dart

• Databases: PostgreSQL, SQL

• Web Development (Full-Stack): React.js, FastAPI

• DevOps & Deployment: Git, GitHub, Vercel, Render, Figma

• Mobile Development: Flutter

• Core Concepts: DSA and OOP

Experience

Technical Operations – Part Time February 2024 to Current Sri Vishnu Automobiles Karaikudi

• Automated the company’s internal billing workflows by integrating a custom invoice processing pipeline, slashing manual billing time by 90%.

• Developed a Python script to automate regular cloud backups, ensuring business data was safely backed up.

• Built a landing page, deployed it to a custom domain, and configured a custom mail forwarding system using Cloudflare.

• Assisted daily business operations by managing inventory records and ERP workflows.

Projects

InvoSync Invoice Conversion App [ Live ]

Tech Stack: Python, FastAPI, React.js, Vercel, Render

• Built a full-stack invoice conversion application that transforms XLS, XLSX, and PDF files into ERP- importable datasets, eliminating manual data entry.

• Built REST APIs using FastAPI for invoice parsing and format conversion.

• Deployed an interactive frontend using React.js on Vercel and hosted backend services on Render, making the application accessible online for real-time use.

TruthFrame Secure Media Authentication using AI and Blockchain [ GitHub ] [ Live ] Tech Stack: Python, FastAPI, React.js, Vercel, Render

• A media verification platform that produces an authenticity score by analyzing content using AI frameworks, helping detect manipulated or synthetic media.

• Verification data is recorded on a blockchain ledger to improve security and ensure data immutability.

• Built backend APIs for media verification workflows using FastAPI to handle media verification requests efficiently.

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