Paper accepted to the 6th Muslims in ML (MusIML) Workshop at ICML 2026.
Sayem Ahmed Shayeed standing outdoors in a green landscape

Open to research opportunities & scholarships

Research · Engineering · Mobile

Sayem Ahmed Shayeed

Research Assistant @ DeepNetLab · Flutter Developer · CSE Student

I build practical software for myself and others, while working on research problems across healthcare, agriculture and intelligent systems. My interests span machine learning, deep learning, computer vision, explainable AI, multimodal AI and mobile application development.

01Leading University, SylhetCSE · Expected February 2027
02CGPA 3.92/4.0075% merit tuition waiver
03Sylhet, BangladeshBangla · English · Hindi

About / Focus

I like building systems that are useful before they are impressive.

I work at the intersection of applied AI and product development: researching problems in healthcare, agriculture and intelligent systems while building mobile and desktop software that people can actually use.

Machine LearningDeep LearningComputer VisionHealthcare AIExplainable AIMultimodal AINLPAgriculture AI
Based inSylhet, Bangladesh

01 / Research

Published research

2

public research entries

1

released research dataset

8

research interests

02 / Publications

Papers & accepted work

03 / Research Datasets

Released datasets

2026Dataset

MentalDistress: A multi-class social media text dataset for mental health–related emotion detection

Fahmida Yeasmin Prity, Tasmia Chowdhury Munira, Sayem Ahmed Shayeed, Md Jalal Uddin Chowdhury

04 / Projects

Projects

Illustration of the Investify founder and investor platform
20253rd Year ProjectGroup

Investify

A Shark Tank–style mobile platform where founders can present opportunities and investors can discover and engage with them through a connected app experience.

Role: Flutter frontend, API integration and OneSignal notification integration

05 / Experience

Work & hands-on experience

Apr 19, 2026
Hackathon

HackFusion 2026 — Innovation Inter-University National Hackathon

IEEE Computer Society LU SB Chapter · Leading University

Built Digital Delta in a three-person team: an offline-first disaster-response and logistics prototype with mesh communication, route-risk intelligence, secure proof-of-delivery and resilient local data workflows.

View source ↗
Jul 2025 — Present
Research

Undergraduate Research Assistant

DeepNetLab

Contributing to research projects across Agriculture AI, Healthcare AI, NLP and related machine-learning applications.

View source ↗

06 / Education

Academic path

Expected Feb 2027
CGPA 3.92

B.Sc. in Computer Science & Engineering

Leading University, Sylhet

Currently in 4.2 under a trimester system. CGPA: 3.92 / 4.00.

HSC
GPA 5.00

Higher Secondary Certificate (HSC)

MC College, Sylhet

SSC
GPA 5.00

Secondary School Certificate (SSC)

Pagla Govt. Model High School, Sunamganj

JSC
GPA 5.00

Junior School Certificate (JSC)

Pagla Govt. Model High School, Sunamganj

07 / Achievements

Recognition & milestones

HackFusion 2026 Participant certificate
Apr 19, 2026

HackFusion 2026 Participant

Innovation Inter-University National Hackathon organized by IEEE Computer Society LU SB Chapter.

2024

10th Place — BAIUST Junior IUPC (Individual)

Ranked 10th in the solo programming contest standings.

Verify ↗
2023

Coder of the Batch

Batch-level recognition for programming achievement.

Ongoing

75% Merit-based Tuition Waiver

Leading University merit tuition waiver.

08 / News

Updates

Paper accepted to the 6th Muslims in ML (MusIML) Workshop at ICML 2026.

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Participated in HackFusion 2026 and built Digital Delta with a three-person team.

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BongoFishX published at IEEE QPAIN 2026.

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MentalDistress dataset Version 2 released on Mendeley Data.

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Joined DeepNetLab as an Undergraduate Research Assistant.

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09 / Contact

Research, scholarship or something worth building?

I’m open to research opportunities, scholarships and meaningful software collaborations.

TOOLBOX
PythonCC++JavaDartFlutterOOPData StructuresAlgorithmsDBMSSupabaseFirebaseMySQLAndroid StudioVS Code
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