I'm Raghav. I build AI that works in the real world.
While most focus on the infrastructure, I dive into the weights and architecture. I specialize in:
LLM Optimization: Fine-tuning & Quantization for high-performance inference.
Contextual Intelligence: Robust RAG pipelines that actually scale.
End-to-End Delivery: Transitioning models from notebooks to live, functional apps.
Final Year Data Science Student @ Noida
Developed the complete web solution for siddhidhataayurved.com, building both frontend and backend functionality using WordPress and WooCommerce. Implemented custom product flows, payment handling, UI enhancements, and deployed the site to production with performance and scalability in mind.
Currently pursuing a Bachelor's degree in Computer Science & Engineering with specialization in Data Science. Focused on machine learning, deep learning, and full-stack development with strong practical exposure.
A task-driven AI system that understands user intent and autonomously handles appointment booking workflows. Designed to manage scheduling, confirmations, and availability with minimal user input.
A deep learning–based sentiment analysis system that classifies movie reviews as positive or negative by capturing sequential patterns in text using an LSTM network. Deployed as a web application for real-time sentiment prediction.
