Backend and platform engineering
REST APIs, authentication and authorization, database design and background processing with Node.js, NestJS, Python/FastAPI and PHP/Laravel on PostgreSQL, MySQL, MongoDB and Redis.
About
Software Engineer · Backend, Full-Stack & Applied AI · Dhaka, Bangladesh
Mahbub Alam (Md Mahbub Alam) is a Software Engineer at Brotecs Technologies Ltd. in Dhaka, Bangladesh. He builds backend services and APIs, full-stack web applications and applied AI systems.
His professional work covers enterprise, healthcare, education, ERP and automation-focused systems. Outside of it, he builds open-source projects around speech recognition, local voice AI, link analytics and offline-first mobile apps.
REST APIs, authentication and authorization, database design and background processing with Node.js, NestJS, Python/FastAPI and PHP/Laravel on PostgreSQL, MySQL, MongoDB and Redis.
Web applications with React and Next.js, and mobile apps with React Native — from data model and API to the interface.
Bangla and English automatic speech recognition with Whisper fine-tuning, and fully local voice assistants. His undergraduate thesis was on speech emotion recognition using deep learning.
Docker, Linux servers, Nginx, PM2 and Cloudflare — shipping applications to small, resource-constrained servers and keeping them observable and maintainable.
LinkLens is a self-hosted link management and redirect platform built with NestJS, Redis, ClickHouse and Next.js, separating a fast redirect path from asynchronous analytics.
A local-first speech-to-text studio and Whisper fine-tuning pipeline for Bangla and English: transcription UI, batch jobs, WER/CER benchmarking and guarded LoRA training.
A full-stack voice assistant that runs locally: FastAPI and React, an Ollama-hosted LLM, speech-to-text and text-to-speech, and SQLite plus Chroma memory.
An offline-first personal finance app built with Expo React Native and SQLite on the device, plus a NestJS and PostgreSQL API for multi-device sync.
March 2025 – Present
Develops and maintains full-stack web applications and backend services with secure workflows, performance improvements, CI/CD and maintainable architecture.
March 2024 – March 2025
Built full-stack features, backend APIs, dashboards, authentication and authorization flows, reporting and integration workflows.
September 2023 – March 2024
Worked on web application modules, bug fixes, UI flows and databases while learning production software practices.
2019 – 2022
CGPA 3.70 / 4.00 · Thesis: Speech Emotion Recognition Using Deep Learning