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N. Uthkarsh Sai

AI / ML Developer·Full-Stack Builder·Vibe Coder

I build intelligent systems that actually work — from deep learning pipelines to web apps that feel alive. If it involves AI, I'm probably already obsessed with it.

See My Work Get in Touch
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About Me

The person behind the code

Hey! I'm Uthkarsh — a AI and DS student at Amrita Vishwa Vidyapeetham who genuinely gets excited about AI. Like, embarrassingly excited. The kind where I'll lose an entire weekend just to understand why a model is making weird predictions.

I got into ML because I wanted to build things that could think and adapt, not just execute instructions. These days I'm busy training models, building full-stack apps, and exploring whatever cool new thing just dropped in the AI domain.

When I'm not coding, I'm reading a research paper, messing with UI design, or vibe coding something random at 2am that somehow turns into a real project. That's basically the origin story for half my GitHub repos.

AI / ML Deep Learning Full-Stack Dev UI Design Vibe Coding LLMs & RAG
N. Uthkarsh Sai
6+
Projects on GitHub
5+
Tech stacks used
Hours reading AI papers
1
Goal: build something that matters

What I Work With

Skills & Tech Stack

AI / Machine Learning
TensorFlowscikit-learn PyTorchNLTK GensimRAKE-NLTK OpenCVTransformers
LLMs & RAG
LangChainFAISS ChromaDBOpenAI API Prompt EngineeringVector Embeddings
Backend & Data
PythonFlask FastAPIpandas numpymatplotlibSQL
Frontend & UI
HTML5CSS3 JavaScriptReact Tailwind CSSCSS GridFlexbox
Tools & DevOps
Git & GitHubGitHub Pages VS CodeJupyter DockerPostman
Design & Concepts
UI / UX DesignFigma Responsive DesignREST APIs Data VizOOP

What I've Built

Featured Projects

AI Study Pal — student with laptop studying
AI ML Deep Learning NLP

AI Study Pal

Intelligent web assistant that generates personalized study plans, creates quizzes using ML difficulty classification, summarizes long texts with extractive NLP, and delivers AI-powered study tips. Built on Flask + Python with TensorFlow, NLTK & Gensim powering the backend.

Smart Aggregation — data dashboard analytics
Deep LearningAI

Smart Aggregation System

Deep learning-powered data aggregation engine using neural attention mechanisms to consolidate multi-source data streams and extract high-level insights — designed for real-world data fusion tasks.

RAG Bot — document library knowledge retrieval
RAGLLM

RAG Bot

Retrieval-Augmented Generation chatbot grounding LLM responses in real documents. Feed it any knowledge base, get accurate answers with no hallucinations — just facts from your data.

Timetable generator — planner calendar schedule
Web AppAI

Web-Based Timetable Generator

Smart scheduler resolving complex timetabling constraints automatically. Input subjects, faculty, and rooms — the algorithm handles conflicts and outputs an optimal schedule.

Event management — conference crowd networking
Web AppFull Stack

Event Management System

Full-featured platform for creating, managing, and tracking events end-to-end — handles registrations, attendee lists, scheduling, and real-time updates, built for scale.

ML Training — code terminal screen
MLResearch

ML Training Experiments

Collection of ML experiments — classification, regression, clustering — organized across branches to compare model architectures, datasets, and training strategies systematically.

Line Following Robot — DIY robot on track
RoboticsEmbedded

Line Following Robot

Autonomous DIY robot built with Arduino and IR sensors. Implements a PID control loop to navigate complex black tracks with high precision and speed.

Warren Truss Analysis — ANSYS simulation heat map
EngineeringSimulation

Warren Truss Bridge Analysis

Structural analysis of a Warren truss bridge using ANSYS. Conducted FEA to visualize stress concentration, deformation, and factor of safety under various loading conditions.

Let's Connect

Get in Touch

Whether it's a collab, an internship, a project idea, or you just want to nerd out about AI — my inbox is always open. Let's build something cool together.