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GeezerVison is showing github.com โ€” nirav4273 - Overview

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@nirav4273
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๐Ÿ 
Working from home

Nirav Patel nirav4273

๐Ÿ 
Working from home
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Full-Stack Developer
5 followers ยท 0 following
  • Ahmedabad
  • in/niravpatel4273

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
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nirav4273/README.MD
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๐Ÿš€ About Me

I'm a Senior Full-Stack Developer with 10+ years of experience designing and shipping scalable, production-ready enterprise web applications. My core strength is React.js, TypeScript, and Node.js โ€” building reusable UI component architectures, high-performance interfaces, and REST APIs that hold up under real production load.

Over the last few years I've led engineering teams, owned client-facing technical delivery end-to-end, and worked hands-on across the stack โ€” from complex form architecture and permission systems on the front end, to layered Controller-Service-Repository backends and event-driven services. More recently, I've been building AI-powered products and developer tools on top of LangChain, RAG pipelines, and LLM agents, and using tools like Claude and GitHub Copilot as part of my everyday engineering workflow.

I currently ship enterprise features for clients in the food supply-chain / raw-material management and workforce time-tracking domains.


๐Ÿง  What I Do

  • ๐Ÿ—๏ธ Build production-ready, scalable full-stack web applications
  • ๐ŸŽจ Design reusable, performant React/TypeScript UI systems with a strong focus on UX
  • ๐Ÿ”Œ Design and integrate REST APIs, microservices, and event-driven backends
  • ๐Ÿ” Architect role-and-permission-based access control for multi-tenant SaaS products
  • ๐Ÿค– Build AI-powered tools โ€” RAG pipelines, agentic search, and LLM-driven automation
  • โ˜๏ธ Deploy and operate applications on AWS and Digital Ocean
  • ๐Ÿ‘ฅ Lead Agile/Scrum teams and translate business requirements into technical delivery

๐Ÿ› ๏ธ Tech Stack

Frontend

Backend

Cross-Platform

AI / LLM

Databases

Cloud & DevOps


๐Ÿ’ผ Enterprise Case Studies

Food Raw-Material Management SaaS โ€” End-to-end platform for processing, inventory, and order management with a role-and-permission-based admin panel. Migrated large, interdependent forms from Formik to React Hook Form + Yup to resolve re-render and dynamic-validation issues, within a modular monolithic architecture supporting multiple teams in parallel.

Task & Time-Tracking SaaS โ€” Multi-role, permission-driven platform aggregating tasks from multiple sources, with a centralized permission store and a reusable wrapper controlling component/route-level access. Shipped a cross-platform Electron desktop app for time logging, powering user, project, and financial reporting.

Music Streaming Platform โ€” Custom, calendar-scheduled playlist streaming. When Node.js's single-threaded model became a concurrency bottleneck, researched and adapted Go's GoFM package to rebuild the core scheduling/streaming service in Go โ€” improving concurrent playback throughput and file I/O performance.


๐Ÿš€ Featured Projects

Project Description Stack
PlateUp AI AI app that takes a photo of a dish and returns a matching recipe based on the selected flow. AI / LangChain
WCAG Compliance Scanner AI-built accessibility auditing tool that scans web pages for WCAG compliance issues. AI-assisted dev
Salary Management System Payroll / salary management app built using an AI-driven development workflow. AI-assisted dev
Interactive System Design Playground Interactive visualizations that teach system design concepts โ€” rate limiters, load balancers, caching โ€” by tuning live parameters instead of reading static diagrams. React
PR Title & Commit Generator โ€” Chrome Web Store AI-powered Chrome extension that auto-generates PR titles and commit messages for GitHub, GitLab, Bitbucket, and Azure DevOps. Chrome Extension / AI
AI File Chat System LLM-powered file search system โ€” upload files and ask questions across documents using intelligent retrieval (RAG). Next.js, Python, LangChain
SQLite Q&A with LangChain โ€” Live Demo Natural-language interface over a SQLite database โ€” ask plain-English questions and get SQL-backed answers via LangChain's SQL agent, no manual query writing needed. Python, LangChain, SQLite, Streamlit

๐Ÿ“ซ Connect With Me

โญ Always open to conversations about full-stack engineering, AI-powered products, and developer tooling.

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