Web. Growth. AI.
Web Developer & Digital Marketer @ Midtown Aabashon Ltd. (opens in a new tab)
Dhaka, Bangladesh
Web. Growth. AI.
Dhaka, Bangladesh
Portfolio projects
01 / 07
LiveE-commerce
Premium modest fashion e-commerce storefront for Bangladesh — an online shop with Abaya, Niqab, Scarf and Accessories categories, product search, a shopping bag, new arrivals and customer-care pages.
02 / 07
LiveReal estate · 2026 · Current role
Real-estate corporate website with clear property positioning, project discovery, a responsive layout and high-intent contact paths.
03 / 07
LiveTravel technology · 2026
Travel website for a Bangladeshi agency, with search for flights, hotels and tour packages — domestic and international.
04 / 07
LiveTravel services · 2026
Travel agency website with clear service positioning, consultation calls to action and trust-focused design — built and maintained alongside the agency's travel operations.
05 / 07
Launching soonBusiness website · 2026
Website for FM Trading F.Z.E, an interior solutions business in Ajman, UAE, with service pages, a project gallery and downloadable product catalogues.
06 / 07
LiveBusiness automation · 2026
Browser-based attendance system for Trip Fly BD: rotating QR codes for check-in, GPS verification, admin and employee panels, and a Google Sheets back end through Google Apps Script.
07 / 07
LiveTravel & visa services · 2026
Website for a Dhaka travel consultancy covering visa services by destination, air tickets, hotel booking and tour packages, with schema.org structured data.
Services, skills, abilities
One person across the whole pipeline: the site, the campaign that brings people to it, the tools that keep it running and the research behind the next idea.
Building the product
Responsive business websites, storefronts and internal tools, hand-built and taken from the first layout to a live, maintained site.
Bringing people in
SEO, social and paid campaigns on Meta and Google, working as one system that leads from a search or an ad to the right landing page.
Removing the busywork
Manual tasks turned into simple systems: Google Apps Script and Sheets back ends, AI-assisted workflows and digitised paperwork.
Making the content
Short-form and promotional video, photography and visual design in Canva, so a brand has something worth showing.
Thinking ahead
Applied deep learning and computer vision for medical imaging, with explainable AI so a model's decisions can be checked.
About me
A computer science graduate working across web development, digital marketing, business systems and applied AI research.
Web developer and digital marketer in Dhaka. I take businesses from first layout to a live site, then grow it with SEO, ads and automation, backed by applied AI research.
Today I work as a Web Developer & Digital Marketer at Midtown Aabashon Ltd., combining website work with digital marketing and brand-focused online execution.
Before that, at Trip Fly BD, I combined travel operations — ticketing and bookings — with website and internal-tool work. That is where the Smart Attendance System came from.
Built for SADIRA, TRM Holidays, FM Trading F.Z.E & more.
Dhaka, Bangladesh
Hello, I’m Omar!
Graduate
B.Sc. in Computer Science & Engineering
Bangladesh University of Business and Technology (BUBT)
CGPA 3.24 / 4.00
Capstone thesisTumorMultiNetView research: TumorMultiNet
Higher Secondary Certificate (Science)
Kharrah Adarsha Degree Honours College · GPA 4.58 / 5.00
Secondary School Certificate (Science)
Churain Tarini Bama High School · GPA 4.17 / 5.00
Status shown as recorded
TumorMultiNet paper
IEEE
Smart First Aid Box paper
ICCIT
Programming contests & hackathons
Career
Working across the company's digital presence, combining web development with digital marketing and brand-focused online execution.
A customer-facing role at a Dhaka travel agency that combined ticketing and booking operations with website and digital tooling work for the team.
Research
Work spanning medical image analysis, deep learning, computer vision and practical intelligent systems.
Thesis · 2026
ResearchBrain MRI classification and segmentation and explainable AI
A two-branch hybrid framework for brain tumor MRI. One branch classifies the slice, the other segments the tumor, and Grad-CAM shows which regions drove the classifier’s prediction. Each branch combines two complementary models, and a second, external cohort is used to test how well the results transfer.
Group capstone thesis · B.Sc. in Computer Science & Engineering, Bangladesh University of Business and Technology (BUBT)
A research prototype, not a clinical tool.
Pipeline
OutputFour-class prediction
OutputTumor mask and overlay
OutputAttention map over the slice
Full titleTumorMultiNet: A Statistically Validated Hybrid Deep Learning Framework for Brain Tumor MRI Classification and Segmentation on BRISC2025 with Explainable AI
Publications
Status shown as recorded
IEEE
Hybrid deep learning framework for brain tumor MRI classification and segmentation, statistically validated on the BRISC2025 dataset, with explainable-AI interpretation of model decisions.
ICCIT
IoT-based first aid system for automated supply monitoring and emergency response support.
Start a project
Have a project, a role or an idea? I’m open to conversations around web development, digital growth, business systems and applied AI research.