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KushagraB424/README.md

Hi, I'm Kushagra Gupta

AI/ML Engineer • Full Stack Developer • Computer Vision Enthusiast

B.Tech CSE (AI & ML) student at Manipal Institute of Technology with a strong interest in:

  • Artificial Intelligence & Machine Learning
  • Full Stack Development
  • Computer Vision
  • Distributed Systems
  • Large Language Models (LLMs)

About Me

  • CGPA: 9.33/10
  • Achiever Scholarship Recipient (Top 5% at MIT Manipal)
  • Solved 250+ LeetCode problems
  • Building AI-powered full-stack applications
  • Interested in scalable ML systems, RAG pipelines, and backend engineering

Tech Stack

Languages

Python Java C++ JavaScript SQL Go

AI / Machine Learning

PyTorch TensorFlow Scikit-learn OpenCV NLP LLMs RAG Computer Vision

Backend / Web

FastAPI Flask Django Node.js REST APIs JWT Authentication

Databases & Cloud

MongoDB PostgreSQL SQLite Docker Kubernetes Google Cloud

Tools

Git GitHub Linux VS Code IntelliJ IDEA Streamlit


Featured Projects

TaskMates – Home Services Marketplace

View Code | Live Demo

Containerized full-stack marketplace platform with AI-powered service discovery.

Tech

Django • PostgreSQL • Docker • Gemini API

Highlights

  • Conversational AI chatbot
  • Transaction-safe booking workflows
  • RBAC implementation
  • Dockerized deployment

AI Research Assistant

View Code | Live Demo

RAG-based research assistant that allows users to upload PDFs and perform context-aware semantic search and question answering.

Tech

React • Node.js • MongoDB • Gemini Embeddings • RAG

Highlights

  • Semantic retrieval over 100+ page PDFs
  • Chunked vector search pipeline
  • Real-time query processing
  • Sub-second response latency

Fashion Vision AI – Multi-Object Fashion Segmentation & Agentic Shopping

View Code | Live Demo

AI-powered fashion understanding pipeline using object detection, segmentation, and LLM-powered recommendations.

Tech

YOLOv8 • EfficientNet • PyTorch • FastAPI • OpenRouter

Highlights

  • Multi-object garment segmentation
  • 15+ clothing categories
  • Agentic shopping recommendations
  • ~78% mAP validation performance

SafePay – Secure Payment System

View Code | Live Demo

Secure payment platform with fraud detection and encrypted transaction handling.

Tech

Flask • MongoDB • AES-256 • Machine Learning

Highlights

  • ML-based fraud detection
  • AES-256 encryption
  • Concurrent transaction handling
  • Role-based authentication

GitHub Stats


Achievements

  • Achiever Scholarship Recipient (Top 5%)
  • Finalist — MIT Open Coding Challenge
  • 250+ LeetCode Problems Solved
  • Google Cloud Digital Leader Certified

Connect With Me


Always open to collaborating on AI, ML, backend, and open-source projects.

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