About Me

Learner | Researcher | Machine Learning Engineer

I'm a Software Engineer(AI/ML) at KAZ Software, specializing in Generative AI, Large Language Models(LLM), and Computer Vision. I accomplished my Bachelor of Engineering in Computer Science and Engineering from Bangladesh University of Business and Technology (BUBT). I am deeply passionate about innovating and adapting deep neural network methodologies to tackle challenging problems. I also have hands-on experience with DevOps practices, including containerization using Docker, and cloud computing with Amazon Web Services (AWS).

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

  • Institution: BUBT
  • Email:          mahedi.hrasel@gmail.com
  • Github:        CLICK HERE

 

Interest

  • Deep Learning
  • Natural Language Processing
  • DevOps(AWS)
  • Medical Imagine
  • Computer Vision
  • Generative AI

News

  • 03/2025: I've thrilled to announce that I've joined as a Software Engineer(AI/ML) at KAZ SOFTWARE
  • 11/2023: I've thrilled to announce that I've joined as a Machine Learning Engineer at Business Automation Limited
  • 06/2023: I've thrilled to announce that I've completed an intern on Machine Learning at Inflexionpoint BD LTD
  • 04/2021: I've joined as a Machine Learning Research Assistant at BUBT ML-LAB.

Resume

Click here to download my full Resume.


Education

BSc in Computer Science and Engineering

Jan. 2019 - Jun. 2023

Bangladesh University of Business and Technology (BUBT)

Advisors: Prof. Mr. Md. Shahiduzzaman

  • Traffic Congestion Detection Using Machine Learning and Deep Learning .

Work Experience

Machine Learning Engineer

Dec. 2023 - Present

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

    April 2023 - Nov 2023

    Inflexionpoint BD LTD, 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

    April 2021 - Feb. 2023

    Bangladesh University of Business and Technology (BUBT)

    Advisor: Md. Saifur Rahman

    • A stacked ensemble machine learning approach for the prediction of diabetes.
    • Bangladeshi signboard Text OCR by own datasets .

    Skills & Certificates

    Organized skill categories and recent certificates — concise and easy to scan.

    Languages

    Python · Node.js · C# · SQL

    Machine Learning

    Concepts: Supervised · Unsupervised · Transformers

    Frameworks: PyTorch · scikit-learn · TensorFlow

    Computer Vision

    Concepts: Detection · Segmentation · Keypoints · Face Recognition

    Tools: YOLO · OpenCV · Pillow · scikit-image · Dlib

    Generative AI

    Concepts: GAN · VAE · RAG · Self-supervision · Prompting

    Models: Llama · Mistral · OpenAI · Phi · Flan · BERT

    DevOps & MLOps

    Containers: Docker · Kubernetes

    IaC: Terraform · Ansible

    CI/CD: Jenkins · GitHub Actions

    Monitoring: Prometheus · Grafana · MLflow

    Tools & Environments

    Environments: Anaconda · Miniconda · Pipenv · Poetry

    Databases: PostgreSQL · MySQL · SQLite · MongoDB

    Publications

     

    Published

    A stacked ensemble machine learning approach for the prediction of diabetes
    Published: 22 November 2023
    Mahedi Hasan Rasel Khondokar Oliullah;Md. Manzurul Islam;Md. Reazul Islam;Md. Anwar Hussen Wadud; Md. Whaiduzzaman
    Abstract Code Live
    Traffic Congestion Detection Using Machine Learning and Deep Learning
    BUBT Conference. 2023-06
    Mahedi Hasan Rasel Hitesh Chakraborty; Shadia Jahan Mumu; Md Mahmudul Hasan; Sadia Afrin
    Abstract Code Live

     

     

    Projects

     

    Automated Quality Control System for Precise Hole Detection and Measurement in Automotive Packaging
    YOLOX, Open-CV
    Description Code
    Automated Tool Inspection: Ensuring Accuracy in Industrial Manufacturing
    YOLOX, Custom CNN
    Description Code
    Cold Email Generator Using LLama3.1 GENAI
    GENAI, DL
    Description Code

    Automated Passport Number Tracking Using Image Verification & Identification
    DL, VGGFace, MTCNN
    Description Code

    Enhancing Image Generation with Deep Convolutional GANs
    DCGAN, Generative AI
    Description Code

    Abstract Text Summarization using Large Language Model (LLM)
    Google Pegasus, LLM
    Description Code Live

    Aspect-Based Evaluation of Bengali User Feedback on E-commerce Platforms
    Llama3, Phi3, BERT
    Description Code Live

    Forecasting Retail Store Revenue
    SARIMA, LSTM, RF, EDA
    Description Code

    Disabled People Sign Detection
    CNN, Medical Imaging
    Description Code

    Explainable AI(XAI): Visualizing Model Predictions with SHAP and LIME
    XAI, SHAP, LIME
    Description Code

    Waiting Time Predictions with MLflow
    MLflow
    Description Code

    Name Entity Recognition with LLM
    MISTRAL, BERT, FLAN T5
    Description Code

    Image Captioning for Different situation
    Multimodal, CNN,RNN
    Description Code

     

    Contact

    Location:

    Dhaka, Bangladesh