About Me

IU Logo

Student Researcher | Machine Learning Engineer

I'm an AI Engineer at Sysnova Information Systems Limited, specializing in Generative AI, Large Language Models (LLM), and Computer Vision. I accomplished my Bachelor of Engineering in Information and Communication Technology from Islamic University, Bangladesh. Currently, I'm actively seeking opportunities for MSc/PhD positions in my research areas. I am deeply passionate about innovating and adapting deep neural network methodologies to tackle challenging problems.

🔍 I am seeking a PhD position in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Generative AI (GenAI), Large Language Models (LLM), and Agentic AI.


Collaboration is key to my work, and I'm always open to new opportunities. Don't hesitate to reach out to me via email!

 

Research Interest

  • Deep Learning
  • Natural Language Processing
  • Adversarial Machine Learning
  • Medical Imagine
  • Computer Vision
  • Generative AI

 

Achievements

  1. Vivasoft AI Hackathon 2025 → Position: Top 2% (Team: Tensor Titans, Within Top 10 out of 378 Certificate )
  2. SUST (DL Enigma 1.0 - SUST CSE Carnival) 2024 → Position: Top 50% (Team: DataDynamos, 49th out of 98)
  3. Robi Axiata Limited (Robi Datathon 2.0: Pre-Assessment) 2022 → Position: Top 45% (Team: IU_OUTLIERS, 171st out of 384)

News

Resume

Click here to download my full CV.


Degree
Bachelor of Engineering Degree's Statement of Courses click here

Education

BSc(Engg.) Information and Communication Technology

Jan. 2018 - Jun. 2023

Islamic University, Bangladesh

Advisors: Prof. Md. Alamgir Hossain, Phd

  • Image Super Resolution Based on Generative Adversarial Networks (GANs).

Work Experience

AI Engineer

Feb. 2025 - Present

Sysnova Information Systems Limited, Dhaka, Bangladesh.

  • Applying expertise in Computer Vision and Agentic AI to create cutting-edge models that drive business success.
  • Collaborating with cross-functional teams to gather and analyze data, extract valuable insights, and design robust models.
  • Staying updated with the latest advancements in the field of machine learning, and proactively applying new knowledge to enhance existing projects and explore novel opportunities.
  • Machine Learning Engineer

    Nov. 2023 - Feb. 2025

    Business Automation Limited, Dhaka, Bangladesh.

  • Applying expertise in Generative AI, LLMs, and Computer Vision to create cutting-edge models that drive business success.
  • Collaborating with cross-functional teams to gather and analyze data, extract valuable insights, and design robust models.
  • Staying updated with the latest advancements in the field of machine learning, and proactively applying new knowledge to enhance existing projects and explore novel opportunities.
  • Machine Learning Intern

    Jul. 2023 - Oct 2023

    Deshlink Limited, Dhaka, Bangladesh

  • Participated in the development and implementation of machine learning models to address real-world business challenges.
  • Collaborated with experienced machine learning engineers and data scientists to preprocess data, select features, and fine-tune algorithms.
  • Gained hands-on experience in deploying machine learning models and evaluating their performance in production environments.
  • Contributed to the documentation and reporting of project progress, presenting findings and insights to the team.
  • Research Experience

    Research Assistant

    Jan. 2019 - Feb. 2023

    ICE Innovation Lab, Islamic University, Bangladesh

    Advisor: Prof. Zahidul Islam

    • Research and development of Computer Vision in collaboration with IU Vision Team.

    Skills & Certificates

    Skills

    • Languages
      • Python, MATLAB, C, C++, SQL
    • Machine Learning
      • Concepts: Supervised, Unsupervised Machine Learning, Neural Networks, Convolutional Neural Networks, Graph Neural Networks, Long Short Term Memory, Transformers
      • ML Framewroks: PyTorch, Tensorflow 2.0, Scikit-Learn
      • Library: Hugging-Face, Numpy, Pandas, Spacy, NLTK, Matplotlib, Seaborn, Plotly
    • Computer Vision
      • Concepts: Object Detection, Segmentation, Key Point Detection, Face Recognition
      • CV Framewroks: OpenCV, Pillow, Scikit-Image, Dlib
    • Generative AI
      • Concepts: Generative Adversarial Network (GAN), Variational Auto Encoders(VAE), MCP, n8n, RAG, Self Supervision, Zero Shot to Few Shot Prompting, Knowledge Graph, Agentic AI
      • Models: OpenAI, Gemini-Pro, LLama 2, 3, 3.1, & 3.2, Mistral, Flan, PHi 3, BERT, OpenChat, Florence-2
      • User-Interface: Open-WebUI
    • Deployment
      • Docker, Flask, FastAPI, Streamlit
    • Python Environments
      • Anaconda, Miniconda, Venv, Pipenv
    • Database
      • PostgreSQL, SQLite, Neo4j
    • Version Control: Git
    • OS
      • Windows, Linux (Ubuntu 20.04, 22.04)
    • MLOps
      • MLflow, Comet ML, Linux, Git, Github Actions CI/CD, Jenkins, Docker, Prometheus, Grafana
    • Explainable AI(XAI)
      • SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-Agnostic Explanations)

    Certificates

    Publications

    Under Review

    Hybrid Deep Learning and Machine Learning Approach for Early Guava Disease Detection & Classification
    Accepted to 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking.
    Bikasuzzaman M, Arman A

    A Transformer-Based Approach for Summarizing Employee Logs
    Submitted to Progress in Artificial Intelligence, Springer.
    Bikasuzzaman M, Polok AP, Saha B

     

     

    Projects

     

    Handwritten Prescription Digitalization using Layout Analysis and OCR
    PaddleOCR, TrOCR, YOLO

     

    Contact

    Location:

    Dhaka, Bangladesh