AI/ML Enthusiast • Machine Learning • Deep Learning • Generative AI • Product Builder

Building practical AI systems and turning ideas into real products.

I am a Computer Science student specializing in AI & ML at the Vellore Institute of Technology (VIT). I focus on Machine Learning, Deep Learning, and Generative AI to build intelligent, practical systems. My passion lies in solving real-world problems and translating complex AI models into scalable products.

A Python-based simulation framework for evaluating machine learning models against DDoS attacks in Software-Defined Networking (SDN) environments.

Technologies: Python, Scikit-learn, NumPy, Pandas

What it demonstrates:

• Implementation of predictive ML models for network security
• Simulation of DDoS attacks on Industrial Control Systems
• Analysis of SDN controller responses and system performance

A web application designed for predicting stock market prices using an Artificial Neural Network (ANN) trained on live financial data.

Technologies: Python, PyTorch, FastAPI, JavaScript, Chart.js

What it demonstrates:

• Training and deploying an ANN model for time-series forecasting
• Real-time data fetching using yfinance
• Serving predictions via robust REST APIs

An intelligent chatbot leveraging Retrieval-Augmented Generation (RAG) to synthesize answers directly from uploaded PDF documents.

Technologies: Python, FastAPI, Google Gemini, Hugging Face Embeddings

What it demonstrates:

• Building end-to-end RAG pipelines for document querying
• Integrating Large Language Models (LLMs) with semantic search
• Delivering natural language answers backed by factual context

An AI conversation workspace designed to maintain context continuity seamlessly across multiple AI models.

Technologies: Generative AI, LLMs, Prompt Engineering

What it demonstrates:

• Automatic generation of portable context summaries
• Transitioning of facts and user goals between different AI models (e.g., Qwen and Gemini)
• Advanced context management for complex AI interactions

A gamified developer learning platform providing structured skill roadmaps and interactive coding challenges.

Technologies: React, TypeScript, Supabase, Tailwind CSS

What it demonstrates:

• Full-stack web application development
• Interactive educational tools and user-focused design

A verified ticket exchange platform for secure event ticket transactions.

Technologies: React, TypeScript, NestJS, PostgreSQL, Redis

What it demonstrates:

• Enterprise-grade, scalable backend architecture
• Secure data handling and responsive UI development

IEEE Conference (ICSCST 2026)

• Co-authored and presented peer-reviewed research on an intelligent, adaptive sensory lighting framework designed for healthcare monitoring environments.
• Formulated adaptive control algorithms to dynamically adjust illumination based on patient biometric states and contextual sensor data, optimizing energy efficiency and circadian support.
• Simulation: Circadian Lighting Simulator (Hugging Face Spaces)

Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Issuer: Oracle University
Valid: Sep 2025 - Sep 2027

• Demonstrates knowledge of generative AI concepts, large language models, and AI solutions on Oracle Cloud Infrastructure.

Python • PyTorch • Scikit-learn • NumPy • Pandas • Matplotlib • Hugging Face

Python • C++ • TypeScript • SQL

FastAPI • React • NestJS • PostgreSQL • MongoDB • MySQL • SQLite • Redis

Currently focusing on the intersection of theoretical AI and practical software engineering. My goal is to continue moving from foundational Machine Learning into advanced Generative AI and AI Engineering, learning to build and deploy robust AI-powered products that solve actual problems.

• Deep Learning & Artificial Neural Networks
• Retrieval-Augmented Generation (RAG)
• LLM Applications & Context Management
• Data Analysis & Predictive Modeling
• AI Engineering & Scalable Deployments

• Email: shantanusaurav54@gmail.com
• LinkedIn: Shantanu Saurav
• Hugging Face: HYPERx54

Learn AI. Build systems. Turn ideas into products.