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WELCOME

[ FRONTEND ENGINEER ]

I BUILD PRODUCTION-GRADE DIGITAL SYSTEMS

Frontend Software Engineer building production web applications, enterprise systems, and AI-powered SaaS products with React, Next.js, and TypeScript.

Primary Stack
React/Next.js/TypeScript/Tailwind CSS
TERMINAL> ready to build _
02IDENTITY SYSTEM

A closer look at my background, education, and the engineering principles that shape how I build software.

IDENTITY CORE
OFFLINE
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Professional ProfileRECORD // 01

Frontend Software Engineer with experience building production web applications, enterprise business systems, and AI-powered SaaS products using React, Next.js, TypeScript, and modern JavaScript. Experienced in designing scalable component architectures, integrating REST APIs, implementing authentication and role-based access, and building responsive user experiences for data-intensive applications. Focused on solving product problems through clean, maintainable frontend engineering while continuously learning new technologies and software engineering best practices.

Identity Record
DesignationSoftware Engineer | Frontend Specialist
SpecializationFrontend Engineering
LocationIndia
Education RecordRECORD // 02
Timeline

2021 — 2025

Program

B.E. Computer Engineering

Thapar Institute of Engineering & Technology

Academic Record
03ENGINEERING SYSTEM

A structured view of the technologies and engineering capabilities I use to design and build production software.

ENGINEERING DATABASEOFFLINE
MODULES 07CAPABILITIES 33
01LANGUAGES
OFFLINE
02FRONTEND
OFFLINE
03FRONTEND ENGINEERING
OFFLINE
04UI DEVELOPMENT
OFFLINE
05TESTING
OFFLINE
06BACKEND & DATABASES
OFFLINE
07DEVELOPER TOOLS
OFFLINE
04EXPERIENCE SYSTEM

A record of the roles, environments, and responsibilities through which I've developed as a software engineer.

EXPERIENCE DATABASEOFFLINE
RECORDS 02STATUS INIT
05PROJECT SYSTEM

A collection of software systems I've designed, built, and shipped, with the engineering decisions, constraints, and outcomes behind them.

PROJECT ARCHIVEQUERYING...

GhostCoach AI

AI-assisted basketball shooting-form analysis with persistent coaching context.

ACTIVE PERIOD

May 2026 — PRESENT

A Next.js application that analyzes basketball shooting-form images with OpenAI GPT-4o-mini, persists coaching sessions in Supabase, and provides context-aware coaching chat.

Players need actionable shooting-mechanics feedback and a way to retain previous feedback so later coaching can account for their performance history.

GhostCoach combines image analysis, persistent sessions, basic performance analytics, and a coaching chat that builds context from player profile data and recent sessions.

01

Vision analysis

Accepts JPG, PNG, and WEBP images up to 5MB and sends the image as base64 to GPT-4o-mini for structured shooting-form feedback.

02

Persistent sessions

Stores the uploaded image URL and structured AI feedback in Supabase so analyses can be reviewed later.

03

Context-aware coaching

Builds coaching context from the player profile and five recent sessions, including average score and recurring strengths and weaknesses.

04

Performance dashboard

Calculates average score, best score, primary focus, session count, score history, and session-to-session improvement.

06CONTACT SYSTEM

A direct communication channel for project discussions, engineering opportunities, and meaningful collaborations.

GG SYSTEM
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