Software Engineer & Researcher · Dhaka, Bangladesh
SADMAN
SAKIB
Versatile Software Engineer with 4+ years of professional experience and full-stack capabilities, specializing in high-performance React and Next.js applications with backend experience in Node.js and Laravel. Co-author of an IEEE ICCIT publication in machine learning and explainable AI for disaster management. Combines engineering expertise with analytical research to deliver scalable, secure, and business-driven software solutions.
Sadman Sakib
Software Engineer & Researcher
About Me
I'm a software engineer based in Dhaka, Bangladesh, with a deep passion for building things that live on the internet. I specialize in crafting high-performance web applications using React, Next.js, and Node.js — but my curiosity doesn't stop at frontend pixels. I've co-authored research on flood prediction using machine learning and explainable AI, published at IEEE ICCIT 2024. Whether it's engineering a real-time football match manager, integrating generative AI into production systems, or exploring decentralized voting on Ethereum — I thrive at the intersection of practical engineering and emerging technology.
When I'm not coding, you'll find me on the football pitch, exploring new places with a camera, or reading about cryptographic protocols and decentralized systems. I'm always looking for the next challenge — whether it's a complex engineering problem or a research question waiting to be answered.
4+
Years Exp.
1
IEEE Pub.
6+
Projects
Experience
March 2023
Present
Samadhan Solution Pty LtdCurrent
Software Engineer
Dhaka, Bangladesh
- ▸Led cross-functional developer teams and took on product management responsibilities, bridging client business requirements with concrete technical implementations.
- ▸Pioneered the integration of generative AI features (Gemini and OpenAI APIs) to optimize user engagement and automate background processing.
- ▸Engineered secure, scalable multi-stack solutions using React, Next.js, Node.js, and Laravel, optimizing server response times.
- ▸Facilitated client meetings to collect system specifications, present architecture designs, and direct deployment strategies.
- ▸Developed custom WordPress plugins and API architectures to connect legacy database platforms with modern headless interfaces.
August 2025
February 2026
Rattix
Intermediate Software Engineer (Contractual)
Toronto, Canada
June 2022
August 2023
Brainstation-23
Software Engineer
Dhaka, Bangladesh
Projects
A selection of systems I've architected — from real-time apps to blockchain prototypes.
Real-time match scheduling, RSVP, and live chat application for recreational football squads. Features automatic match status transitions and dynamic stat-sharing card generation.
Localized PWA facilitating cooperative livestock-sharing during religious festivals. Integrated geospatial queries with PostGIS and a real-time messaging system.
Analytical platform for surveying, assessing, and visualizing marital satisfaction trends with comparative statistical charts and secure Firebase backend.
AI-powered greeting card generator that transforms user photos into custom 3D cartoon avatars using the Gemini API, with Vercel Blob for media hosting.
Real-time dashboard delivering AI-generated trading signals for gold, silver, and bitcoin across multiple timeframes using the Gemini API.
Blockchain Voting System
Decentralized secure voting prototype leveraging Ethereum smart contracts. Programmed immutable transactional logic in Solidity with a React client interface.
Research & Publications
Featured Publication
Flood Prediction in Bangladesh Using Machine Learning and Explainable AI: A Comparative Study
R. I. Hemel & S. Sakib
Published in IEEE 27th International Conference on Computer and Information Technology (ICCIT) · December 2024
Co-authored research evaluating machine learning, deep learning, and explainable AI (XAI) models for flood forecasting in monsoon-prone regions of Bangladesh.
View on IEEEBachelor's Thesis
A Comparative Study of Flood Prediction based on Rainfall using Machine Learning Methods
Rajshahi University of Engineering & Technology (RUET) · January 2023 – August 2023
Conducted comparative research on ML, Deep Learning, and Transfer Learning methods for rainfall-based flood forecasting. Analyzed historical climate datasets to model flood vulnerabilities and support regional disaster management policies.
Research Interests
Skills
Languages
Frameworks & Libraries
ML & AI Tools
Databases & Cloud
Tools & Testing
CMS & Platforms
Education
Jan. 2017 – Aug. 2023
Rajshahi University of Engineering & Technology (RUET)
Rajshahi, Bangladesh
B. Sc. in Computer Science and Engineering
Aug. 2014 – May 2016
Govt. M. M. City College
Khulna, Bangladesh
HSC in Science