✉ minar09.bd@gmail.com
🌐 Portfolio
📍 Seoul, Korea
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Machine Learning Engineer and Computer Vision Researcher with 8+ years of experience bridging AI innovation, software engineering, and large-scale production deployments. Specialized in Computer Vision, Deep Learning, Large Language Models (LLMs), 3D Vision, and Geospatial AI. Demonstrated leadership in diverse AI/ML projects, including digital twins for virtual shopping, AI-driven drug discovery, and smart city solutions. Published 5+ papers at top computer vision venues (CVPRW, ACCV, IEEE Access), and recipient of multiple industry awards. Proficient in English, Arabic, and Bengali, with global team leadership across 4+ countries.

• AI/ML: Deep Learning (PyTorch, TensorFlow), Computer Vision (OpenCV, Open3D), LLMs (GPT, Gemini, DeepSeek, Llama, InternVL), Agentic AI, Data Science (Pandas, Scikit-learn)
• Cloud & MLOps: AWS, GCP, Docker, DVC, Gradio, MLOps, REST APIs, ML pipelines
• Programming: Python, JavaScript, C++, React, Node.js, Django, Flask, FastAPI
• Domain Expertise: Geospatial AI, Digital Twin, Healthcare AI, Blockchain, Arabic LLM/NLP
• Leadership: Cross-cultural remote & onsite team management (4+ countries)
• Languages: English (Professional), Arabic (Working), Bengali (Native)

• Deep Learning Engineer
  Alteredverse Pte Ltd., Singapore (Remote) | May 2023–Feb 2026

  • Built 3D vision pipelines and digital twins for energy infrastructure (30% cost reduction)
  • Deployed LLM-powered AI agents/NPCs for virtual malls (40% engagement boost)
  • Tech: PyTorch, TensorFlow, Open3D, LLMs, GCP, AWS

• Manager (New Core Planning)
  Robi Axiata Limited, Bangladesh | May 2022–Apr 2023

  • Optimized telecom infra for 53M+ users, achieving 99.99% uptime
  • Awarded Q3 2022 Best Developer Award

• AI Engineer
  NetTargets Inc., S. Korea | Feb 2021–Apr 2022

  • Reduced drug discovery timelines by 60% via deep learning models (95%+ accuracy)

• Framework Architect
  Automation Solutionz Inc., Canada | Aug 2015–Jul 2018

  • Designed test automation frameworks adopted by enterprise clients (cycle -60%)

See full CV for part-time/contract roles and additional leadership/research experience.

• Research Assistant, Sogang University, Korea (2026–present)

  • Focus: 3D reconstruction, Multimodal Generation, Image Processing

• Research Assistant, Seoul National University of Science & Technology, Korea (2018–2021)

  • Focus: 3D clothing reconstruction, virtual try-on, fashion AI
  • 5+ peer-reviewed papers, CVPRW/ACCV/IEEE Access

• Ph.D. in Computer Science & Engineering
  Sogang University, Korea | 2026–present

• M.S. in Electrical & Information Engineering
  Seoul National University of Science & Technology, Korea | 2019–2021
  Thesis: 3D Clothing Reconstruction for E-commerce Virtual Try-On

• B.Sc. in Computer Science & Engineering
  Bangladesh University of Engineering and Technology (BUET) | 2010–2015
  Thesis: Non-invasive Vital Signs Monitoring for Healthcare

• Google Cloud AI Trailblazers 2.0 Innovation Award (2024): Geospatial AI for energy infra
• 2nd Place, CVPR 2020 Look Into Person Challenge: Advanced virtual try-on systems
• Q3 2022 Best Developer Award: Robi Axiata Limited (telecom optimization)
• 5+ Publications: CVPRW, ACCV, IEEE Access

• IEEE Access (2021): Multiple Pose Virtual Try-On Based on 3D Clothing Reconstruction
• IEEE Access (2021): CloTH-VTON+: Clothing 3D Reconstruction for Hybrid Image-based Virtual Try-On
• ACCV 2020: CloTH-VTON: Clothing 3D Reconstruction for Hybrid Image-based Virtual Try-On
• CVPRW 2020: 3D Reconstruction of Clothes using a Human Body Model
• CVPRW 2020: CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On

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