Yasin Islam
Yasin Islam

Full Stack Developer

Actively looking · Member since 25 Oct 2026
Location
Dhaka, Bangladesh
Desired salary
Unspecified
Work preference
Remote Only / Part Time
Experience level
Junior

About

Professional summary

I am a full-stack developer based in Dhaka, Bangladesh, with experience building production-oriented web applications using Next.js, React, TypeScript, PostgreSQL, and Supabase.

I serve as the Core full-stack engineer and core platform owner for Nirnoy, a bilingual healthcare platform supporting clinic workflows, diagnostic imaging, specialist reviews, and patient access across Bangladesh.

I build secure, role-based systems with PostgreSQL row-level security, Clerk authentication, protected file-access workflows, and scalable upload pipelines for large medical imaging files.

I also work on machine learning and computer vision projects involving predictive maintenance, medical image classification, image processing, and deployment of AI-backed APIs.

I am seeking full-stack development opportunities where I can contribute to robust web products, backend systems, data-driven applications, and AI-enabled platforms.

Skills

43 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Data Stores

Languages & Frameworks

Experience

Career history

Full Stack Developer Intern Datavvy

I work as a full-stack developer intern and lead engineer for Nirnoy (SmileScan), a live bilingual digital healthcare platform. I architected and built the majority of the application using Next.js, React, TypeScript, Supabase PostgreSQL, Clerk, Tailwind CSS, Google Drive API, Resend, and Netlify.

I designed workflows for six user roles across multiple clinics, including dynamic facility switching and single-use campaign invite codes. I implemented PostgreSQL row-level security policies based on Clerk JWT claims, role-scoped privilege functions, and authenticated proxy routes to protect patient records and medical images.

I built client-side image compression that reduced upload payloads and latency by approximately 60–75%, as well as resumable direct-to-Google-Drive uploads for multi-GB DICOM ZIP packages. I also shipped releases through Netlify CI/CD with strict TypeScript checks, Svix-verified Clerk webhooks, and Resend transactional email integration.

AI Prompt Contributor AfterQuery

I contributed to a project-based AI prompting initiative, rapidly learning internal engineering frameworks within a 48-hour period to support urgent deployment timelines.

I iterated on and refined complex queries using AI collaboration tools, focusing on technical accuracy, quality, and integration requirements.

Education

Learning history

BRAC University

B.Sc., Computer Science

Bachelor of Science in Computer Science.

Scholastica

A-Levels & O-Levels

Completed A-Levels and O-Levels in Uttara, Dhaka.

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