Mohammed Abdul Raheemuddin
I am a full stack developer with hands-on experience building scalable web applications, REST APIs, dashboards, reporting systems, and real-time platforms.
About
I am a full stack developer with hands-on experience building scalable web applications, REST APIs, dashboards, reporting systems, and real-time platforms. I work primarily with JavaScript, React, Next.js, Node.js, Express.js, MongoDB, and modern UI technologies, and I enjoy taking products from concept through production. My experience includes healthcare SaaS, interview preparation platforms, analytics products, collaborative coding tools, and real-time chat applications.
I am also interested in applying AI and large language models to create practical product experiences. I have integrated LLM-powered workflows, built reusable frontend modules, optimized APIs and state management, and collaborated with engineering teams to deliver reliable features. With a strong academic record and more than 300 coding problems solved, I bring curiosity, ownership, and a friendly, problem-solving mindset to every project.
- 1 year's experience
- Joined September 2026
Industry experience
- Software & Internet
- Healthcare
- Education
- Computers & Electronics
Work experience
Designed and built scalable REST APIs with Node.js, Express.js, and MongoDB for healthcare workflows supporting a multi-facility B2B SaaS platform serving 7+ facilities. Enhanced the GenAI engine by integrating LLM-powered workflows with schema-constrained prompting from backend services through the live UI. Built a reporting module supporting 30+ report types with PDF and Excel export, and independently developed five dashboard modules with role-specific routes, reusable components, and workflows for a multi-tier organizational hierarchy.
Engineered and optimized REST APIs using Node.js and Express.js, improving API response time by approximately 30% and increasing data processing efficiency. Implemented Redux for centralized state management, reducing unnecessary re-renders by 25% and improving UI consistency across more than three product modules. Collaborated with over 10 engineers to build and deploy product features, accelerating release cycles by 20%.
Contributed to a full-stack interview preparation platform serving more than 11,500 logged-in users. Improved user engagement and content accessibility, and integrated Razorpay payments, automated Google Meet links, calendar invitations, and email confirmations for session booking.
Education
Certifications and awards
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