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Muhammad F. - Blockchain Developer, React Native, nextjs

My name is Muhammad F. and I have over 7 years years of experience in the tech industry. I specialize in the following technologies: JavaScript, React, node.js, Web3, Python, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Sales Tracking SRM Dashboard, Meetbot - AI Meeting, Flight booking mobile app, ProAgenda Golf Management App, Virries - Cloud Computing, etc.. I am based in Lahore City, Pakistan. I've successfully completed 11 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

  • Blockchain Developer

    7 years

  • JavaScript

    6 Years

  • React

    5 Years

  • node.js

    2 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Sales Tracking SRM Dashboard

I developed a Sales Tracking SRM Dashboard as a Full Stack Developer to provide real-time insights into sales performance and customer interactions. Using React.js for the front-end, I created a responsive UI, while the back-end was built with Node.js and Express.js, interacting with a MongoDB database. I implemented JWT for secure authentication. The dashboard includes data visualizations with Chart.js to track sales trends, KPIs, and customer engagement, optimizing decision-making for the sales team.

Meetbot - AI Meeting

I led the development of Meetbot, an AI-powered meeting assistant designed to enhance productivity and collaboration. Utilizing Natural Language Processing (NLP) and Machine Learning (ML) algorithms, Meetbot automatically transcribes, summarizes, and analyzes meeting discussions in real-time. It extracts key insights, action items, and provides personalized recommendations, improving team efficiency. The project involved integrating speech recognition, sentiment analysis, and text summarization to streamline workflow.

Flight booking mobile app

I developed a comprehensive flight booking app, focusing on both front-end and back-end technologies. The app offers a seamless user experience for flight searches, bookings, and payment processing. On the front-end, I used React Native for cross-platform development, ensuring smooth UI/UX. For the back-end, I implemented Node.js with Express, integrated RESTful APIs for flight data, and used MongoDB for secure, scalable data storage. I also integrated payment gateways like Stripe for safe transactions.

ProAgenda Golf Management App

I worked on the ProAgenda Golf Management App, focusing on both frontend and backend development. I used React for the web interface and React Native for cross-platform mobile apps. The backend was powered by Node.js, managing API integrations and real-time data syncing. I utilized MongoDB for efficient data storage. My work involved implementing features like user authentication, event scheduling, payment processing, and performance optimization to ensure scalability and security.

Virries - Cloud Computing

I contributed to building a scalable platform that leverages advanced machine learning algorithms and cloud-based infrastructure. I implemented AI-driven automation for resource optimization, predictive analytics for load balancing, and real-time data processing to enhance system efficiency. By integrating cloud services and ML models, the project provides robust, cost-effective solutions for dynamic workload management and intelligent decision-making in cloud environments.

Education

  • Khwaja Fareed University of Information Technology

    Bachelor of Computer Science (BCompSc) in Computer science

    2015-01-01-2019-01-01

Languages

  • English

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