Zeeshan

Zeeshan

$13/hr
Full-Stack Developer | React, Next.js, Node.js, MongoDB, Tailwind CSS, API Integration
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
26 years old
Location:
Lahore, Punjab, Pakistan
Experience:
4 years
ZEESHAN TOFIQ | MERN DEVELOPER Lahore, Punjab Pakistan | - |-https://www.zeeshantofiq.site PROFESSIONAL SUMMARY MERN Stack Developer with 4 years of hands-on experience building responsive, scalable, and user-centric web applications. Proficient in React.js, Node.js, Express, and MySQL, with a strong grasp of modern development tools and practices. Skilled in integrating AI tools like GitHub Copilot and Cursor AI to boost development efficiency and code quality. Adaptable, collaborative, and committed to continuous learning, I strive to deliver high-quality solutions in dynamic environments. CORE COMPETENCIES Javascript Jest Typescript Material UI, Antd, Styled Components, Tailwind css AWS API Gateway HTML & CSS React JS AWS S3 Bucket SASS & Less Next JS AWS Lambda Function React Query, Apollo Client Node JS AWS S3 Bucket OpenAI APIs Express JS Mysql, Mysql Server Cursor AI RestFul APIs Postgress Github CoPilot MongoDB Trae, ChatGPT, Claude DynamoDB Prompt Writing Storybook Github Pipeline Monorepo SonarQube Vite, Webpack Eslint, Prettier, Husky Electron JS Capacitor App Docker Firebase Cloud Function CBSOL PROFESSIONAL EXPERIENCE Web Developer | 01 Jun, 2021 - 31 Jan, 2023 Developed and maintained core web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js). Improved website performance and user experience through optimized code and responsive design practices. Collaborated closely with senior developers to implement new features, fix bugs, and deploy updates. Contributed to UI enhancements, ensuring cross-browser compatibility and accessibility. TECHNO-SOFT SOLUTIONS Web Developer | 01 FEB, 2023 - Present Contributing to healthcare-focused software and application development projects in a dynamic outsourcing environment. Built and tested scalable, secure, and high-performance web applications using modern frameworks. Engaged directly with clients to gather requirements, provide technical insights, and deliver tailored solutions. Leveraged tools like GitHub Copilot and Cursor AI to improve coding efficiency and code quality. Collaborated with cross-functional teams to ensure timely delivery and continuous integration. EDUCATION 2017 - 2021 | University Of Engineering And Technology Lahore Bachelor of Computer Science - BSCS RELEVANT PROJECTS Pabau - Frontend Developer Pabau is a clinic management software that collects and organizes all the information you gather throughout the client life cycle, then empowers you to use it to achieve great things. It will help you automate the consultation process, help dramatically grow your sales, and save you time by eliminating business chaos. Worked on Next JS with Typescript, and built storybook components with Ant Design. The project was full of challenges. The project has a mono-repo on bitbucket having a pipeline of 10+ steps. There were many limitations and strict rules (prettier, nx lint, danger file, jscpd, husky, lint-staged, dependency-cruise, etc) TrainGRC - Web Developer A full-service web platform for students of the Train GRC Academy. Train GRC Academy students who are cloud auditors and other governance, risk, and compliance (GRC) professionals focused on cybersecurity. Worked on React JS, Teachable, AWS Amplify, Hubspot, Lambda functions, API Gateway, Cloud Formation, AWS S3 Bucket, AWS Code Pipeline, and CI/CD Pipeline. Medical Community - React Developer + Node Developer A Mobile application enabling medical students and professionals to engage in insightful discussions and pose questions within their respective fields. Worked on React JS for admin portal, Node JS and Express JS for the Backend, Mysql DB with the Sequelize, and AWS services (EC2, Cloudformation, S3, etc) Medical AI Base Project - Web Developer An application aimed at simplifying the workflow for healthcare professionals. This innovative solution facilitates audio transcription of doctor-patient conversations, leveraging AI-based analysis to automatically generate summaries and integrate various other AI-driven functionalities, enhancing efficiency and productivity in medical settings. Worked on React JS, AWS Services, Firebase Functions, Open AI
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