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Jasir Ullah K. AI, Cloud and Mobile Platforms

My name is Jasir Ullah K. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: MERN Stack, React, Next.js, TypeScript, 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: Go Customer, Storm Center, Warm, The Brick Spy, Mangtum, etc.. I am based in Multan, Pakistan. I've successfully completed 8 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • AI, Cloud and Mobile Platforms

    5 years

  • MERN Stack

    1 Year

  • React

    4 Years

  • Next.js

    4 Years

Additional skills

Direct hire

Potentially possible

Previous Company

10Pearls

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Experience Highlights

Go Customer | AI-powered Automated Email Campaigns App

GoCustomer.ai is an AI-powered email marketing platform leveraging a cutting-edge tech stack, including React.js, GraphQL, Apollo, and MongoDB, to deliver hyper-personalized campaigns. By automating data collection, content generation, and campaign delivery, it enables businesses and freelancers to scale outreach while enhancing engagement and conversions. Featuring tools like OpenAI, Stripe, Sentry, and SendGrid, the platform ensures efficiency, reliability, and impactful results with minimal manual effort.

Storm Center | Weather Forecasting & Storm Predictor App

Stormcenter app provides a comprehensive visualization of storm activity across the USA, including hailstorms, windstorms, and tornadoes, by leveraging advanced technologies such as Mapbox, Deck-GL, and Material-UI. It combines historical data and live updates into rich, interactive map-based visualizations featuring spotter tweets, photos, radar and satellite imagery, SPC reports, and warnings. With a user-friendly interface, the app empowers users to make informed decisions during severe weather events.

Warm | Dating & Communication Chat App

A versatile chat application designed for personalized and seamless user interactions. The app features an intelligent home page that filters profiles based on user preferences like gender, likes, and dislikes, helping users discover compatible connections. Once a connection request is accepted, real-time chat is enabled using Socket.IO, with notifications powered by Firebase Cloud Messaging to keep users updated on requests, messages, and profile changes. The backend, built with Nest.js and TypeScript, ensures scalability and efficiency, while MongoDB handles data storage.

The Brick Spy | LEGO Deal Spy App

The Brickspy is a price comparison platform for LEGO sets, is a fully automated solution, leveraging technologies like Next.js, Nest.js, Puppeteer, and MongoDB to scrape, match, and present product data from multiple stores. Featuring advanced algorithms for price history tracking, trending products, and deal highlighting, as well as a robust filtering mechanism, the platform delivers a seamless and personalized user experience.

Mangtum | Ecommerce Brand Builder Hub

I led a comprehensive refactoring of Mangtum's React-based web application, an online marketplace for fashion and fine jewelry, to enhance performance, maintainability, and user experience. By modularizing the codebase into smaller, reusable components and implementing performance optimizations like code splitting and lazy loading, I improved load times, scalability, and responsiveness. These updates aimed to deliver a seamless and engaging shopping experience, aligning with Mangtum's mission to revolutionize the discovery of exquisite jewelry and artistic accessories.

Education

  • Institute of Southern Punjab

    Bachelor of Computer Science (BCompSc) in

    2014-01-01-2018-01-01

  • Institute of Southern Punjab

    Master of Computer Science (MSCS) in Computer science

    2018-01-01-2020-01-01

Languages

  • English

Personal Accounts