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Muhammad H. React, Node and Cloud Platforms

My name is Muhammad H. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: React, Next.js, node.js, JavaScript, Full-Stack Development, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Full Stack Eng for Lopic – Award-Winning Uber for Pharmacies & Locums, Autonomous Checkout System. I am based in Lahore, Pakistan. I've successfully completed 2 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

  • React, Node and Cloud Platforms

    6 years

  • React

    2 Years

  • Next.js

    3 Years

  • Node.js

    5 Years

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

Full Stack Eng for Lopic – Award-Winning Uber for Pharmacies & Locums

🛠️ Developed a dynamic role-based system and a comprehensive HRMS for pharmacy workforce management 📲 Built a locum booking platform, cutting agency fees and boosting efficiency for pharmacies and locums 👥 Helped onboard thousands of locums and partnered with hundreds of UK pharmacies 📅 Integrated scheduling and HR tools, making Lopic more than just a booking platform 🏆 Contributed to Lopic’s industry awards as a Numark enhanced discount supplier partner

Autonomous Checkout System

The main objective of our project is to provide retailers with a computer-vision and machine learning-based autonomous system that keeps track of buyers and items they pick up in order that the customers may be charged rightly and save the retailers from shoplifting. First of all, the system will detect the human from CCTV video and also keep track of the customer in front of the camera. If the customer interacted with the products rack then the system would detect and classify the products customer picked and keep track of the customers and products picked up by the customer and finally, generate a bill for each customer once they reached the checkout point.

Education

  • University of Engineering & Technology Lahore

    Bachelor of Computer Science (BCompSc) in BS Computer Science

    2016-01-01-2020-01-01

Languages

  • English
  • Panjabi, Punjabi
  • Urdu

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