I’m a Computer Science student specializing in Data Science at VIT Vellore, passionate about building AI-driven systems using Machine Learning, Generative AI, and scalable backend architectures.
I enjoy working on:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI workflow automation
- Machine Learning pipelines
- Computer Vision
- Full-stack AI applications
I love experimenting with AI systems, optimizing retrieval pipelines, benchmarking architectures, and building practical applications that solve real-world problems.
- Python
- C++
- Java
- JavaScript
- Machine Learning
- Deep Learning
- NLP
- RAG Pipelines
- LangChain
- OpenCV
- Scikit-learn
- NumPy
- Pandas
- PyTorch
- Vector Databases
- ChromaDB
- FastAPI
- React.js
- Node.js
- Tailwind CSS
- Git & GitHub
- Hugging Face
- Postman
- AWS
AI-powered learning platform with:
- Hybrid RAG pipelines
- Automated flashcard generation
- AI-generated assessments
- Context-aware learning assistance
React.js • FastAPI • LangChain • ChromaDB • Gemini API
Research-focused project exploring:
- Multi-stage retrieval pipelines
- RAG benchmarking
- Cross-encoder reranking
- Retrieval optimization
- Faithfulness evaluation using RAGAS
Python • Vector Databases • Sentence Transformers • PyTorch
YOLOv8-powered real-time vehicle detection system with:
- Automated toll workflow
- Real-time notifications
- Detection + backend integration
- Traffic monitoring pipeline
Python • OpenCV • YOLOv8 • Deep Learning
- Finalist — AWS AI for Bharat Hackathon
- Placed 11th Nationwide — KRUU GRASP Hackathon
- IBM — GenAI Language Modeling with Transformers
- IBM — GenAI Foundational Models for NLP
- IBM — GenAI and LLMs Architecture
- Advanced LLM Evaluation
- Agentic AI Systems
- AI Infrastructure & Deployment
- Multi-Agent Workflows
- Efficient RAG Architectures
- LinkedIn: https://linkedin.com/in/iashish2
- GitHub: https://github.com/gibber29
- Email: [email protected]
⭐ Always excited to collaborate on AI, ML, and open-source projects!