Available for opportunities

Hi, I'm
Syeed Asif

BSc in Computer Science & Engineering (Major: Data Science) at East West University. Specializing in Multimodal AI, RAG Systems, and Medical Imaging.

Kha. Mo. Syeed Asif - AI & Data Science Specialist

Passionate

Developer

About Me

Kha. Mo. Syeed Asif working on AI and Data Science projects

AI & Data Science Enthusiast

I am currently pursuing my B.Sc. in Computer Science and Engineering with a major in Data Science at East West University. My passion lies at the intersection of Artificial Intelligence, Computer Vision, and Multimodal RAG systems.

As an Associate Executive of the EWU Robotics Club, I have coordinated technical training and events. I am dedicated to building intelligent systems that solve complex real-world problems, particularly in medical imaging and efficient information retrieval.

AI & ML

Data Science

Robotics

My Skills

Programming & AI/ML

Python

Java

SQL

Machine Learning

Computer Vision

RAG Systems

Frameworks & Data Science

PyTorch

LangChain

FAISS

Pandas & NumPy

Seaborn

Scikit-learn

Featured Projects

Explore some of my recent work across web development, software applications, and hardware engineering.

Explore More on GitHub

Education & Experience

BSc in Computer Science & Engineering

East West University, Dhaka

2022 - Present

Major in Data Science. Completed 134/140 credits with a CGPA of 3.32/4.00.

Associate Executive

East West University Robotics Club

2024 - Present

Volunteer Trainer, Event & Logistics Coordinator. Conducted technical training for 200+ members.

Dedicated Volunteer

EWU CSE Fest & Robo Fest 2024

2024

Actively volunteered for EWU CSE Fest and EWURC National Robo Fest 2024, managing logistics and event flow.

Leadership Roles

CGC Science Club

2020 - 2021

Event & Logistics Manager (Science Club) and Volunteer Commanding Officer (Science Fair & Farewell).

Research Publications

IEEE Conference Paper Published 2025

Real-Time UAV-Based Building Surface Defect Detection: A Dataset-Driven Lightweight CNN Framework with Grad-CAM Explainability

Published in: 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)

Kha. Mo. Syeed Asif, Maherun Nessa Isty, Raihan Ul Islam, Raiyan Gani, Tasmia Islam, M. Saddam Hossain Khan

Achieved 95.39% accuracy with 15 fps inference on Jetson-class edge devices.

Integrated Grad-CAM explainability streamed to mobile devices for real-time visual justification.

Let's Connect

Reach Out

I'm currently looking for new opportunities and collaborations. Whether you have a question, a project idea, or just want to say hi, my inbox is always open!

Email

kmsyeedasif@gmail.com

Location

Aftab Nagar, Dhaka-1212, Bangladesh