Hi, I'm Vidit Vaibhav. I'm a full-stack developer specializing in Python, Generative AI integration, and JavaScript. I love building production-grade web applications, LLM-powered tools, and real-time backend systems. I've published a VS Code extension (Prother) that leverages Claude and OpenAI APIs, and I've delivered client projects integrating payment gateways, WhatsApp API, and AI chatbots from the ground up. I'm currently at EPAM Systems on a Thomson Reuters assignment, owning features end-to-end from architecture to deployment.

Vidit Vaibhav

Hi, I'm Vidit Vaibhav. I'm a full-stack developer specializing in Python, Generative AI integration, and JavaScript. I love building production-grade web applications, LLM-powered tools, and real-time backend systems. I've published a VS Code extension (Prother) that leverages Claude and OpenAI APIs, and I've delivered client projects integrating payment gateways, WhatsApp API, and AI chatbots from the ground up. I'm currently at EPAM Systems on a Thomson Reuters assignment, owning features end-to-end from architecture to deployment.

Available to hire

Hi, I’m Vidit Vaibhav. I’m a full-stack developer specializing in Python, Generative AI integration, and JavaScript. I love building production-grade web applications, LLM-powered tools, and real-time backend systems.

I’ve published a VS Code extension (Prother) that leverages Claude and OpenAI APIs, and I’ve delivered client projects integrating payment gateways, WhatsApp API, and AI chatbots from the ground up. I’m currently at EPAM Systems on a Thomson Reuters assignment, owning features end-to-end from architecture to deployment.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent

Work Experience

Software Engineer at EPAM Systems (On Assignment: Thomson Reuters)
January 1, 2025 - Present
Built Python-based backend services for Thomson Reuters product team; contributed to feature development, bug resolution, and performance optimisation. Implemented a CLI-based movie review system using Redis caching and multithreading for 50+ concurrent reviews, achieving 40% faster processing. Conducted root-cause analysis to reduce system errors by 30% and boost operational efficiency by 20%. Designed user-facing interfaces that increased engagement by 35% and improved accessibility.

Education

B.Tech in Information Technology at Manipal University Jaipur
January 1, 2021 - January 1, 2025

Qualifications

Top 5 Team — Hackathon (100+ participants)
January 11, 2030 - April 25, 2026
Top 5 Team — Ideathon (150+ teams)
January 11, 2030 - April 25, 2026
Coding Ninjas Top 5% — Solved 220+ DSA problems
January 11, 2030 - April 25, 2026
Web Development with HTML/CSS/JavaScript
January 11, 2030 - April 25, 2026
Build Wireframes and Low-Fidelity Prototypes (Google/Coursera)
January 11, 2030 - April 25, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment