Computer Science Student

Sarthak Verma

Building AI-powered applications, e-commerce platforms, and automation systems.

Developer of Shineora and Elize.

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Professional Background

Experience

Delivering real-world solutions in a professional environment.

Junior Developer Intern

Shineora Arts and Jewels Pvt Ltd

Internship
Built production e-commerce solutions
Developed frontend experiences
Improved responsiveness
Worked with real business requirements
Collaborated on deployment workflows
Origin Story

The Journey

From first lines of code to intelligent systems.

Phase I

The Fundamentals

Realized early on that just knowing syntax isn't enough. I focused on building raw, un-frameworked applications to deeply understand how the web actually works under the hood.

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Phase II

Production Engineering

Transitioned from building 'projects' to shipping real 'products'. I became obsessed with performance optimization, clean UX, and solving actual business requirements.

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Phase III

AI & Automation

Started bridging the gap between raw LLM intelligence and user utility. I build autonomous workflows to eliminate repetitive tasks and create frictionless experiences.

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Phase IV

The Horizon

Currently focused on distributed architectures and the next generation of human-computer interaction. I'm always looking for the next hard problem to solve.

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Genesis Project

Student Portal

Where the journey began. Built to learn web development fundamentals, this project laid the groundwork for my understanding of DOM manipulation, responsive design, and core programming paradigms.

Growth Journey

Demonstrating the crucial transition from theory to practice in a self-taught environment.

Fundamentals

Mastering raw HTML, CSS, and vanilla JavaScript without the crutch of modern frameworks.

The Baseline

It serves as a benchmark—a reminder of how far the technical capability has scaled into distributed systems and AI over a short period.

Case Study 01

Shineora

A premium e-commerce platform redefining how fashion jewellery is explored and purchased online. Built to solve critical UX friction points and deliver sub-second page loads, significantly boosting mobile conversion rates.

Homepage & Product Catalog

Checkout Flow

Mobile View

Scale128+ Products
PlatformResponsive E-commerce
OptimizationSEO Optimized
DeploymentProduction

How It Was Built

Research & Strategy

Analyzed existing luxury e-commerce platforms. The goal was to identify UX friction points. Discovered that slow image loading and clunky category transitions were the biggest drop-off points for users.

Market AnalysisUX Auditing
Case Study 02

Elize AI

An intelligent academic assistant. Seamlessly connecting Telegram, n8n workflows, and Large Language Models.

Interact with Elize
ProductAI Academic Assistant
PlatformTelegram Integration
Workflown8n Automation
ProcessMulti-Step AI

Telegram Chat Interface

System Architecture

Telegram API
User Input
n8n
Orchestration
LLM (AI)
Processing
Response
Output Delivery

The Problem

Students needed instant, personalized academic support without navigating complex interfaces or waiting for human tutors.

The Automation

Built scalable webhook integrations via n8n to route messages seamlessly between the Telegram Bot API and AI models.

The Outcome

A lightning-fast conversational agent providing 24/7 educational assistance, reducing query resolution time to seconds.

Technical Arsenal

A comprehensive toolkit for modern product development.

Crafting pixel-perfect, responsive, and highly animated user interfaces.

Next.js
Used In:ShineoraPortfolio
React
Used In:ShineoraStudent Portal
TypeScript
Used In:ShineoraPortfolioElize
Tailwind CSS
Used In:ShineoraPortfolio
Framer Motion
Used In:PortfolioShineora

What would you like to explore?

Choose a perspective to understand how I approach problems.

Developer

Code, Architecture, Engineering

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AI Builder

Workflows, Automation, Agents

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Entrepreneur

Products, Impact, Problem Solving

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Verified Credentials

Continuous
Learning.

Validating skills through industry-recognized programs and real-world corporate simulations.

AI
IBM2024

Generative AI: Prompt Engineering

Prompt DesignLLM Context WindowsAI Workflows
Cloud
AWS2023

Data Analytics on AWS

Data PipelinesCloud ArchitectureAWS Services
Networking
NVIDIA2023

Introduction to Networking

Network TopologyProtocolsEdge Computing
Programming
HackerRank2022

Java (Basic)

OOPData StructuresAlgorithms
Job Simulations
Tata2024

GenAI Simulation

Enterprise AISolution Architecture
Job Simulations
British Airways2024

Software Engineering

Web ScrapingPythonData Modeling
Job Simulations
Siemens Mobility2024

Digital Engineering

AgileProject ManagementIoT

The Algorithm
Journey.

LeetCode isn't just about passing interviews. It's about training the brain to recognize patterns, optimize constraints, and write elegant logic under pressure.

Problems Solved
0+

Consistently challenging myself with algorithmic puzzles to maintain sharp problem-solving capabilities.

Core Topics & Focus
GraphsDynamic ProgrammingTreesBacktrackingGreedy

Consistently solving medium to hard algorithmic challenges. Training the brain to recognize patterns, optimize constraints, and write elegant logic under pressure.

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Live Status

Currently Building

Shineora V2
AI Shopping Assistant
Elize Automation Platform

Let's build something meaningful.

Currently open for new opportunities and collaborations.

© 2026 Sarthak Verma. Designed & Engineered with precision.