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Matiur Rahman Minar

Matiur Rahman Minar

PhD Student & AI Researcher

Seoul, KR
English, Bangla, Arabic

Background


About

About

AI/ML and Computer Vision researcher with 6+ years of applied research experience in computer vision, 3D reconstruction, and geospatial AI. Published 5+ papers in top-tier venues (CVPRW, ACCV, IEEE Access), with industry expertise in E-commerce, healthcare AI, smart cities, and LLM. Currently pursuing PhD in Computer Science at Sogang University, focusing on computer vision, 3D reconstruction, GenAI, and Context-aware LLM agents.

Work Experience

Work Experience

  • Deep Learning EngineerAlteredverse Pte Ltd.

    May, 2023 - Feb, 20262 years 9 months

    Led R&D for geospatial AI pipelines (3D reconstruction, LLM integration) with direct applications to smart city planning and metaverse development.

    • Designed end-to-end 3D vision pipeline for urban geospatial data with 98% automation rate in digital twin creation

    • Developed LLM-powered NPCs for virtual malls and crowdtale games, increasing engagement by 40%

    • Led research in multi-view 3D textured mesh reconstruction

    • Key projects: Geospatial AI, World of Malls, Crowdtale apps

  • Manager (New Core Planning)Robi Axiata Limited

    May, 2022 - Apr, 20231 year

    Led development of high-impact telecom solutions serving 53M+ users, achieving 99.99% system uptime and 40% faster transaction processing.

    • Managed cross-functional teams delivering critical projects with 100% on-time completion

    • Led multiple R&D projects from concept to completion

    • Planned and designed business requirements, infrastructure, and capacity for high-revenue applications

  • AI EngineerNetTargets Inc.

    Feb, 2021 - Apr, 20221 year 3 months

    Designed graph ML models for drug discovery, reducing timelines by 60%.

    • Developed novel deep learning models achieving 85% prediction accuracy

    • Architected ML pipeline processing 100M+ molecular structures, identifying 1000+ drug candidates

    • Implemented production-grade drug-drug interaction prediction system

    • Key projects: DrugDiscovery AI, Protein Interaction Predictor

  • Framework ArchitectAutomation Solutionz Inc.

    Aug, 2015 - Jul, 20183 years

    Developed and maintained an industry-leading end-to-end automated testing framework.

    • Increased product quality by 45% through innovative testing solutions

    • Reduced testing cycle time by 60% for multiple client projects

    • Improved test coverage by 80% across implemented projects

    • Key project: ZeuZ Framework

  • Machine Learning Engineer (Part-time)Fashionade Inc.

    Aug, 2022 - Dec, 20225 months

    Developed cutting-edge fashion AI solutions using deep neural networks and computer vision.

    • Deployed production ML models for virtual try-on with 90% accuracy

    • Implemented REST API-based model evaluation system for real-time fashion recommendation

  • Software Automation Tester (Contract)Asset Science LLC

    Dec, 2015 - Jan, 20171 year 2 months

    Designed and executed comprehensive test automation using Selenium and Appium.

    • Reduced manual testing efforts by 60% through automated test case implementation

  • Software Developer (Part-time)Automation Solutionz Inc.

    Jan, 2014 - Aug, 20151 year 8 months

    Developed a scriptless test automation framework adopted as a top software testing platform.

    • Collaborated effectively with cross-functional teams to deliver projects on time and budget

Projects Experience

Projects Experience

  • GeoAI

    May, 2023 - Feb, 20262 years 9 months

    • Technologies: TensorFlow, PyTorch, Open3D, GIS tools, Unreal Engine

    • 98% automation rate in digital twin creation

  • World of Malls

    May, 2023 - Feb, 20262 years 9 months

    • Technologies: AI Agents, MCP Servers, Node.js, React, GCP, Vertex AI, NVIDIA NIM

    • 40% increase in virtual mall engagement

  • StyleAI

    Aug, 2022 - Dec, 20224 months

    • Technologies: PyTorch, TensorFlow, OpenCV, Pillow

    • 90% accuracy in production models

  • AI-powered Drug Discovery

    Feb, 2021 - Apr, 20221 year 2 months

    • Technologies: TensorFlow, Keras, PyTorch, Python, R, Julia, GCP

    • 85% prediction accuracy, 60% reduction in discovery timeline

  • Virtual Try-On

    Mar, 2019 - Jan, 20211 year 10 months

    • Technologies: PyTorch, OpenCV, Python, MATLAB, OpenDR

    • Published 3 papers in top-tier venues (CVPRW, ACCV)

Skills

Skills

  • Research Areas

    Computer Vision

    3D Reconstruction

    Generative AI

    Virtual Try-On

    Geospatial AI

    Digital Twin

    Healthcare ML

    Deep Learning

    LLM

  • Programming

    Python

    JavaScript

    C

    C++

    C#

    MATLAB

    Java

    R

    Julia

  • AI/ML Frameworks

    PyTorch

    TensorFlow

    Keras

    Graph ML

  • Large Language Models

    GPT

    Gemini

    LLAMA

    DeepSeek

    Qwen

    InternVL

  • Agentic AI

    Pydantic AI

    OpenAI Agents

    LangChain Agents

    MCP Servers

  • 3D Vision & Graphics

    Open3D

    MeshLab

    OpenDR

    PyRender

    Trimesh

  • Web Development

    Flask

    FastAPI

    Django

    React

    Node.js

    REST APIs

  • Databases

    PostgreSQL

    MySQL

    Neo4j

    MongoDB

  • DevOps & Tools

    Git

    DVC

    Docker

    AWS

    GCP

Education

Education

  • Computer Science and Engineering, PhD, Sogang University

    Mar, 2026 - Present

  • Electrical and Information Engineering, MS, Seoul National University of Science and Technology (SeoulTech)

    Jan, 2019 - Feb, 2021

  • Computer Science and Engineering, BSc, Bangladesh University of Engineering and Technology (BUET)

    May, 2010 - Aug, 2015

Awards

Awards

  • 2nd Place Winner - LIP Challenge Track 3 , Workshop on Towards Human-Centric Image/Video Synthesis

    Awarded on: Jun 01, 2020

    Image-based Multi-pose Virtual Try-on Challenge at CVPR 2020. Team: Thai Thanh Tuan, Matiur Rahman Minar, Heejune Ahn.

  • Innovation Award 2024 , Google Cloud AI Trailblazers 2.0 Challenge

    Awarded on: Jan 01, 2024

    Awarded to Alteredverse PTE Ltd. for innovative AI solutions.

  • Q3 2022 Best Developer Award , Robi Axiata Limited

    Awarded on: Sep 01, 2022

    Recognition for outstanding development work in telecom solutions.

Publications

Publications

Interests

Interests

  • Computer Vision Research

    3D ReconstructionGenerative AIVirtual Try-OnGeospatial AI
References

References

  • Prof. Dr. Heejune Ahn

    Professor, Department of Electrical and Information Engineering, Seoul National University of Science and Technology. Email: heejune@seoultech.ac.kr

  • Prof. Dr. Unsang Park

    Professor, Department of Computer Science and Engineering, Sogang University. Advisor for current PhD studies.

  • Prof. Jung-Su Kim

    Professor, Department of Electrical and Information Engineering, Seoul National University of Science and Technology. Email: jungsu@seoultech.ac.kr

  • Dr. Thai Thanh Tuan

    Postdoctoral Researcher, Jeju National University. Collaborator on multiple publications. Email: thaithanhtuan@jejunu.ac.kr