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Umer K. React, Node and Web Development

My name is Umer K. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Next.js, Supabase, React, React Native, node.js, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: SportEcolytics Dashboard - SupaBase, Next.JS, Vercel, TapMeSaveMe NFC-Based Safety - Next.js, Supabase, COTD.ai _ AI-Powered Crypto Analytics Platform _ Next.JS/Nest.JS, Noice - Video/Audio streaming platform_Next/Nest JS/React Native, WYSIWYG AI Markdown Editor (Tiptap + Yjs + Next.js + RAG), etc.. I am based in Bronx County, United States. I've successfully completed 13 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • React, Node and Web Development

    1 year

  • Next.js

    1 Year

  • Supabase

    1 Year

  • React

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Netflix

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Experience Highlights

SportEcolytics Dashboard - SupaBase, Next.JS, Vercel

A custom-built web dashboard designed to help sports organizations monitor, analyze, and reduce carbon emissions from travel. The platform aggregates travel data and visualizes key sustainability metrics, enabling teams and leagues to make informed decisions that align with climate goals. Key Features: Emissions tracking by team, event, and season Interactive data visualizations and reports Travel data import and route-based emission calculations Admin panel for organization and user management Built with scalable architecture to support growth and integrations

TapMeSaveMe NFC-Based Safety - Next.js, Supabase

TapMeSaveMe is a smart safety platform built with Next.js and powered by Firebase for secure, real-time data handling. It provides NFC-enabled tags—like stickers, bracelets, and pet collars—that instantly share emergency contact and medical info with a simple phone tap. No app needed. Designed for kids, seniors, riders, and pets, it ensures quick access to life-saving details in critical moments, making safety simple, fast, and reliable.

COTD.ai _ AI-Powered Crypto Analytics Platform _ Next.JS/Nest.JS

COTD.ai helps users—especially crypto traders and investors—stay ahead of the market. It combines social media data, wallet activity, and technical signals to show which coins are gaining attention or moving fast. The platform runs quickly, is easy to use, and processes over 10,000 signals daily with near-instant feedback. Whether you're a trader or just exploring, it gives you the tools to make smarter decisions without digging through endless data.

Noice - Video/Audio streaming platform_Next/Nest JS/React Native

Noice is a Indonesian streaming plateform with a wide variety of audio & video content. It brings together podcasts, series, radio shows, and audiobooks—into a single, user-friendly platform. The service is designed to offer a rich selection of entertainment for users looking for both popular content and niche genres. It features content into categorized sections that showcase top episodes, new releases, and personalized recommendations, which enhance the user experience by making content discovery engaging and straightforward.

WYSIWYG AI Markdown Editor (Tiptap + Yjs + Next.js + RAG)

Developed an AI-powered collaborative Markdown editor using Next.js and Tiptap, a flexible WYSIWYG editor. Implemented Markdown formatting, custom elements, and file uploads. Enabled real-time collaboration with Yjs, and used Redux to manage UI states and associate DOM nodes. The editor offers a seamless, intelligent writing experience with rich formatting and multi-user editing—ideal for blogs, notes, and documentation platforms.

Education

  • University of Southern California

    Bachelor of Computer Science (BCompSc) in Computer science

    2014-01-01-2018-01-01

  • University of Southern California

    Master of Computer Science (MSCS) in Computer science

    2018-01-01-2020-01-01

Languages

  • English
  • Spanish
  • French

Personal Accounts