Available for opportunities

Al Amin

Hossain Nahid

AI Engineer · Full-Stack Developer · Mobile Developer

I design and build production-ready software systems — from LLM-powered agents and APIs to full-stack products and native mobile experiences. I understand a problem, design the system, and ship the product.

What I Build

01

AI Engineering

LLM-powered agents that do real work — multi-step tool-calling loops, structured extraction from PDFs and the open web, retrieval over private document sets, and token-level cost accounting. Built on a provider-agnostic inference layer with SSE streaming and durable session state.

02

Full-Stack Engineering

End-to-end web products with Next.js and React Server Components, NestJS and FastAPI backends, Zod-validated APIs, Clerk auth, and cloud deployments on Vercel and Render — from design tokens to database schema.

03

Mobile Engineering

Native Android apps in Kotlin with XML layouts, and cross-platform apps with React Native — backed by NestJS REST APIs and PostgreSQL across the full mobile stack.

04

Applied AI Research

Research at the applied end of AI — image processing and computer vision with convolutional models, and the behaviour of large language models inside real systems. Framing a problem as a learning task, training against it, and measuring what holds up outside the benchmark.

About

The Engineer

I'm a Computer Science & Engineering student at AIUB and an engineer focused on building intelligent systems. My work spans AI engineering, full-stack web development, native Android applications, and applied AI research.

I'm interested in the intersection of AI and software engineering — where machine learning models, LLMs becomes components of real products people actually use.

I care about the parts users never see: clean API boundaries, data models that survive requirements changes, and code the next person can read without questions.

How I Think

Build for the user.

Software exists to solve real problems. Every architectural decision should trace back to an outcome for the person using the product.

Design for change.

Requirements shift. A system that resists change becomes a liability. Clean boundaries and good data models outlast frameworks.

Use AI where it creates real leverage.

AI is a tool, not a trend. I integrate it where it meaningfully improves what the product does — not to check a box.

Keep systems understandable.

Code read by the next engineer matters. Clarity and correctness over cleverness, always.

Technical Expertise

Languages

  • C++
  • Java
  • C#
  • JavaScript
  • TypeScript
  • Kotlin
  • Python

AI & LLM

  • OpenAI SDK
  • OpenRouter
  • Agent Harness
  • Tool Calling
  • SSE Streaming
  • RAG

Frontend

  • React
  • Next.js
  • Tailwind CSS
  • shadcn/ui

Backend

  • NestJS
  • FastAPI
  • ASP .NET

Databases

  • PostgreSQL
  • MySQL
  • MongoDB
  • Prisma
  • TypeORM
  • SQLAlchemy

Mobile

  • Android
  • Kotlin
  • React Native

Infrastructure

  • Git
  • Docker
  • Vercel
  • Firebase
  • Postman
  • Android Studio

Experience

Where I've Worked

June 2026 – Present

AuraDev LTDIntern

Software Engineering Intern

Lead the AI engineering on GrantOS — an AI-powered grant management platform for nonprofits — building an autonomous proposal-writing agent on top of a Next.js 16 frontend and FastAPI backend, alongside an LLM-assisted editor, SSE streaming chat, and a full grant lifecycle pipeline.

Agentic AITool CallingRAGOpenAI SDK+13 more

2025 – Present

Bilimbi StudioFounding Team

Software Engineer

Part of the founding engineering team at Bilimbi Studio, a small software studio in Dhaka, Bangladesh. Built the studio's marketing site and engineered MessMaster — an Android app for shared student messes, backed by a NestJS API.

Next.jsTypeScriptTailwindZod+4 more

Selected Work

Projects

Web & Full-Stack

Bilimbi StudioCompleted

Bilimbi Studio

01
Frontend · Design2026

Marketing site for Bilimbi Studio — a small software studio based in Dhaka, Bangladesh.

Next.jsTypeScriptCustom CSS
JotionCompleted

Jotion

02
Full-Stack Web App2026

A Notion-inspired connected workspace — write, plan, and organise documents with real-time sync and auth out of the box.

Next.jsTypeScriptTailwind CSS
AI ChatCompleted

AI Chat

03
AI · Full-Stack2026

Conversational AI app powered by Gemini with persistent chat history stored in PostgreSQL via Prisma.

Next.jsGemini APIPrisma
MediCareIn Progress

MediCare

04
Full-Stack · SaaS2026

Medical chamber management SaaS — doctors run their chambers, patients book serial-based appointments online.

Next.jsNestJSPostgreSQL

Mobile

MessMaster
Completed

MessMaster

05
Mobile · Full-Stack2026

Smart mess management app for shared living — tracks meals, utilities, and monthly expenses with automatic bill calculation.

KotlinXMLNestJS

Research & Intelligence

Published Work

PECCII 2026 · Jhenaidah, Bangladesh · 2026

IEEE Xplore

Intelligent Waste Classification for Sustainable Urban Development

A MobileNetV3-based deep learning approach using the BDWaste dataset, focused on classifying waste images for smarter and more sustainable urban waste-management workflows.

Co-authored with Ferdus Hossain, Tariful Islam Fahim, and Salman Zzoha. Presented at the International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure, and indexed in the IEEE Xplore Digital Library.

Method

MobileNetV3BDWaste DatasetDeep LearningUrban Sustainability

Status

Published

Indexed in the IEEE Xplore Digital Library

Conference

International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure

Contact

Have a difficult
problem worth
solving?

I'm open to engineering roles, freelance projects, and research collaborations. If you're building something intelligent, let's talk.

Send a Message