Vansh Khaneja
// ABOUT ME
AI Engineer & Full-Stack Developer
Computer Science student with a keen interest in artificial intelligence and machine learning
Agents & RAG Systems(95%)
Vision & Multimodal AI(90%)
Next.js & TypeScript(88%)
8.88.8+
CGPA
1010+
Projects
33+
Internships
// EXPERIENCE
Education & Experience
2022 - 2026
B.Tech in Computer Science
@ Guru Gobind Singh Indraprastha University
2020 - 2022
CBSE Board (10+2)
@ Goodley Public School
Jun 2024 - Aug 2024
AI Research Intern
@ Superteams.ai
Oct 2024 - Apr 2025
SDE Intern
@ Mersate
May 2025 - Jul 2025 (Contract)
Python Developer
@ Empire Imports LLC
Jul 2025 - Present
AI Developer
@ Helios Infotech
2024 - Present
Freelance Developer
@ Self-Employed
Experience
Jun 2024 - Aug 2024
AI Research Intern
@ Superteams.ai
Worked with newly emerging technologies in the field of LLMs and RAG systems like ElasticSearch, PGVector, Indexify etc.
Oct 2024 - Apr 2025
SDE Intern
@ Mersate
Worked on fashion e-commerce platform and various internal tools for the company.
May 2025 - Jul 2025 (Contract)
Python Developer
@ Empire Imports LLC
Built an AI-powered customer support chatbot and automated product image editing solution for product catalogue optimization.
Jul 2025 - Present
AI Developer
@ Helios Infotech
Working on various Python/AI projects covering computer vision, finetuning language models, and deploying Python backends for clients.
2024 - Present
Freelance Developer
@ Self-Employed
Providing AI/ML and web development based services to various clients based on their requirements.
Education
2022 - 2026
B.Tech in Computer Science
CGPA: 8.8/10
@ Guru Gobind Singh Indraprastha University
Focused on artificial intelligence, machine learning, and software engineering
2020 - 2022
CBSE Board (10+2)
Percentage: 94.6%
@ Goodley Public School
Completed high school with focus on mathematics and computer science
// PROJECTS
My Latest Works
Some of my recent projects
AI Workflows
ConvoFlow
Visual workflow builder for AI applications. Design, deploy, and scale RAG systems with intuitive drag-and-drop interface
RAGDockerAI
E-commerce & AI
Drapely.ai
AI-powered fashion e-commerce platform with personalized shopping experience and virtual try-on features
Next.jsVTONE-commerce
Documentation & AI
ConvoFlow Docs
Comprehensive documentation platform for ConvoFlow with AI-powered explanations, interactive guides, and intelligent code examples
DocumentationTypescriptNext.js
AI & Fashion
Digital Wardrobe
One-time wardrobe upload system where users can catalog all their clothing items, accessories, and outfits. AI-powered styling assistant suggests perfect outfits for any occasion (beach, office, party) with virtual try-on visualization
ClipVirtual Try-OnComputer Vision
// CONTACT
Reach Me
If you want to contact me, just call me or email.
Email: vanshkhaneja2004@gmail.com