B.Tech CSE (AI & ML) student at Manipal Institute of Technology with a strong interest in:
- Artificial Intelligence & Machine Learning
- Full Stack Development
- GenAI Engineer
- Computer Vision
- Distributed Systems
- Large Language Models (LLMs)
- CGPA: 9.3/10
- Achiever Scholarship Recipient (Top 5% at MIT Manipal)
- Solved 300+ LeetCode problems
- Building AI-powered full-stack applications
- Interested in scalable ML systems, RAG pipelines, and backend engineering
Python Java C C++ JavaScript SQL Go
Machine Learning Deep Learning PyTorch TensorFlow Scikit-learn
Keras Computer Vision NLP RAG
LLMs CUDA NumPy Pandas
React Node.js Express.js
FastAPI Flask Django
REST APIs JWT Auth
HTML CSS
AWS Google Cloud
Apache Spark
PySpark
Hadoop
Distributed Systems
ETL Pipelines
MongoDB
PostgreSQL
SQLite
NoSQL
Git Docker Kubernetes
Linux VS Code
IntelliJ
Streamlit
Colab
Full-stack visual AI workflow orchestrator allowing users to dynamically construct and execute multi-step pipeline DAGs.
Next.js 15 • React Flow • LLM • RAG • PostgreSQL • Gemini
- Drag-and-drop interactive canvas
- State management and real-time telemetry
- Event-driven backend execution
- Retrieval-Augmented Generation (RAG) pipeline
Agentic Business Intelligence platform using LangGraph to transform datasets into insights.
LangGraph • PostgreSQL • Python • Pandas • FastAPI
- Multi-agent workflow with human-in-the-loop approval
- State management and PostgreSQL checkpointing
- Secure Python execution sandbox for automated data analysis
- RAG and semantic memory using text embeddings
Containerized full-stack marketplace platform with AI-powered service discovery.
Django • PostgreSQL • Docker • Gemini API
- Conversational AI chatbot
- Transaction-safe booking workflows
- RBAC implementation
- Dockerized deployment
RAG-based research assistant that allows users to upload PDFs and perform context-aware semantic search and question answering.
React • Node.js • MongoDB • Gemini Embeddings • RAG
- Semantic retrieval over 100+ page PDFs
- Chunked vector search pipeline
- Real-time query processing
- Sub-second response latency
AI-powered fashion understanding pipeline using object detection, segmentation, and LLM-powered recommendations.
YOLOv8 • EfficientNet • PyTorch • FastAPI • OpenRouter
- Multi-object garment segmentation
- 15+ clothing categories
- Agentic shopping recommendations
- ~78% mAP validation performance
Secure payment platform with fraud detection and encrypted transaction handling.
Flask • MongoDB • AES-256 • Machine Learning
- ML-based fraud detection
- AES-256 encryption
- Concurrent transaction handling
- Role-based authentication
Distributed log analysis system using PySpark to process web server access logs with an interactive AI-powered dashboard.
PySpark • Streamlit • Python • Plotly • Gemini API
- Distributed data processing pipeline using Apache Spark
- Interactive log explorer and visualization dashboard
- Statistical anomaly detection for server requests
- AI-powered log insights and summarization via Gemini
- Achiever Scholarship Recipient (Top 5%)
- Finalist — MIT Open Coding Challenge
- 250+ LeetCode Problems Solved
- Google Cloud Digital Leader Certified
- LinkedIn: www.linkedin.com/in/kushagra-gupta-8861663a0/
- GitHub: github.com/KushagraB424
- Email: kushagrab424@gmail.com
- GitLab: https://gitlab.com/kushagrab424
- Leetcode: https://leetcode.com/u/KushagraB424/
Always open to collaborating on AI, ML, backend, and open-source projects.








