Researcher · Software Engineer
Rafath Bin
Zafar Auvee
I develop resource-efficient deep learning models for medical diagnostics — published in Elsevier (2025) and IEEE ICCIT (2024). 4+ years of full-stack engineering experience.
Who I Am
About
My research focuses on developing resource-efficient deep learning architectures for medical image analysis. I am interested in making diagnostic AI accessible in resource-constrained healthcare settings, particularly in developing countries. My work spans cardiovascular diagnostics, brain tumor classification, and lightweight CNN design. I am actively seeking PhD opportunities for Fall 2027 at the intersection of Medical AI and Healthcare Systems.
Publications
Research
Cardiovascular Diagnostics Detection Using Multilayer Perception Approach
Rafath Bin Zafar Auvee et al.
Systems and Soft Computing
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification
Rafath Bin Zafar Auvee et al.
27th Int'l Conference on Computer & Information Technology (ICCIT)
Professional History
Experience
Software Engineer
Feb 2024 – Feb 2026Think Studio
Built production-grade apps with Next.js, NestJS, and Docker. Integrated OpenAI API for AI-powered features. Shipped Dua Plus — live on App Store & Play Store.
Full Stack Web Developer
Jun 2023 – Jan 2024Save The Date
Built a Virtual Greeting Card SaaS generating 3+ Lac BDT revenue in its first month. Integrated Bkash & Aamarpay payment gateways.
Full Stack Web Developer
Oct 2022 – Mar 2023Wrexa LLC
Developed full-stack web applications for US-based clients.
What I've Built
Noteworthy Projects
Dua Plus
- Shipped cross-platform mobile app (live on App Store & Play Store) for duas and personalized prayer journeys.
- Custom praylists, scheduled dua journeys, completion tracking, and real-time push notifications.
Save The Date
- Built & launched a Virtual Greeting Card SaaS generating 3+ Lac BDT revenue in its first month.
- Engineered rich E-Card Editor with text customization, animated cards, dynamic order forms, and Bkash/Aamarpay payment.
Chaitro
- Architected a multi-role MVP startup marketplace with RBAC — Users, Sellers, Resellers, and Admins.
- Built seller onboarding, admin moderation, role-specific dashboards with analytics and order management.
EverythingGreen
- Built a green-tech SaaS analyzing website carbon footprint, sustainability metrics, and performance efficiency.
- Engineered scalable NestJS backend with carbon scoring algorithms, report generation, and API integrations.
Academic Background
Education
B.Sc. in Computer Science & Engineering
2019 – 2023Bangladesh Army University of Science & Engineering
Contests & Events
Competition / Conference
Recognitions
Achievements & Certifications
1st Runner Up — Line Follower Robot
2019"Speed Battle" of Robotronics
2nd Runner Up — Programming Contest
2017Inter School & College Programming Contest
Leadership & Community
Club Activities
General Secretary
2023BAUST Mechatronics & Robotics Club
Link coming soonCourses & Certifications
Professional Development
Tools & Technologies
Tech Stack
Frontend
Backend & APIs
Database
DevOps & Cloud
Mobile
Auth & Payments
AI & Tools
Let's Connect
Get In Touch
I am actively seeking PhD opportunities for Fall 2027 in Medical AI and Deep Learning. Open to research collaborations and discussions.
rafath.auvee@gmail.com