Md Delwar Shahadat Deepu
@delwarshahadat
Research-focused CSE graduate specialized in deep learning and computer vision.
What I'm looking for
I am a research-focused Computer Science and Engineering graduate with strong expertise in deep learning, computer vision, and practical experience using PyTorch, TensorFlow, and OpenCV. I have published and contributed to research on medical imaging, deepfake localization, object detection, and dataset creation, and I build end-to-end models involving segmentation and attention-based architectures.
I combine analytical problem-solving, solid grounding in algorithms and data structures, and hands-on project experience—ranging from IoT/LLM integrations to web-backed ML prototypes—to deliver reproducible research and mentor students. I have lectured and supported coursework at university level and continue to advance context-aware LLM and medical imaging projects.
Experience
Work history, roles, and key accomplishments
Lecturer
Shanto-Mariam University of Creative Technology
Sep 2025 - Present (9 months)
Deliver lectures and practical sessions on core CSE courses, develop outcome-based syllabi aligned with OBE standards, mentor students, and supervise thesis work in machine learning and deep learning.
Instructor (Contractual Lecturer)
United International University
Feb 2025 - Aug 2025 (6 months)
Delivered lectures and practical sessions on core CSE courses, designed course materials and assessments, and mentored students in project-based learning during a contractual appointment.
Undergraduate Teaching Assistant
United International University
Nov 2023 - Feb 2025 (1 year 3 months)
Assisted in teaching programming and foundational CS courses, provided tutorial classes and academic support to undergraduates, and supported course delivery and assessments.
Frontend Intern
Pondit
Mar 2022 - May 2022 (2 months)
Developed and maintained web application interfaces using HTML, CSS, and JavaScript, and collaborated with design teams to implement responsive UI/UX.
Education
Degrees, certifications, and relevant coursework
United International University
Bachelor of Science, Computer Science and Engineering
Grade: 3.90/4.00 (Summa Cum Laude)
Activities and societies: Undergraduate research on medical imaging and deep learning; teaching assistant; projects including IoT-based AI doctor and university application.
BSc in Computer Science and Engineering completed with Summa Cum Laude and CGPA 3.90/4.00; focused on deep learning, computer vision, and medical imaging research.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
portfolio-deepu.vercel.appSalary expectations
Social media
Job categories
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