Shreyansh Mittal

I’m a B.Tech in Computer Science and Engineering student who enjoys turning research ideas into working systems. In my Summer Research Internship at Graphic Era Deemed to be University, I studied early-stage prediction of Alzheimer’s disease using novel biomarkers, building and evaluating machine learning/deep learning models with 80–85% prediction accuracy.

In parallel, I build software that scales and performs. I developed a Vector Database & RAG Engine (NexusAI) from scratch in C++ with HNSW, KD-Tree, and Brute Force search, integrated a local Retrieval-Augmented Generation pipeline via Ollama for context-aware responses, and built a custom multi-threaded HTTP REST API with an interactive 2D PCA visualization interface.

I also enjoy full-stack engineering and systems thinking. My Handyy project is a role-based platform using Next.js, React, Node.js, Express.js, MongoDB, Socket.io, and JWT for verified worker workflows and real-time booking communication, and my Virtual Memory Manager project in C and Linux implements FIFO, LRU, and Clock algorithms to analyze performance trade-offs.