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protiva-ahammed/README.md

Hi, I'm Protiva Ahammed

ML Researcher · Software Engineer · Problem Solver

I am a machine learning researcher with published work in deep learning for medical imaging — cancer detection and brain tumor classification using transfer learning. I am a software engineer based in Japan with 3 years of production experience building enterprise backend systems.

Research Publications

Paper Area Citations
Prognosis of Acute Lymphoblastic Leukemia Using Microscopic Images by Inception V3 Based Transfer Learning Medical Imaging · Leukemia Detection 7
Deep Transfer Learning Based Multi-Class Brain Tumors Classification Using MRI Images Medical Imaging · Brain Tumor Detection 29

Google Scholar Profile

Current Research Interests

  • LLM for Software Engineering — investigating gaps between LLM code generation benchmarks and production enterprise codebases
  • Medical Imaging AI — extending published transfer learning work toward uncertainty-aware cancer detection
  • Autonomous Systems — perception pipelines, real-time AI deployment

Industry Experience

Software Development Engineer — Japan (2023–present)

3 years building production enterprise systems:

  • Java · Spring Boot backend for logistics domain
  • C# · .NET embedded controller applications (DAS Digital Sorting System)
  • PostgreSQL · Oracle DB — advanced SQL, query optimization
  • Docker · Microservices · REST APIs · Integration Testing
  • React · TypeScript frontend

Technical Skills

Languages: Java · Python · C# · C · C++ · JavaScript · TypeScript
Frameworks: Spring Boot · .NET · React · Django · TailwindCSS
ML/AI: PyTorch · TensorFlow · Transfer Learning · CNNs · LLMs
Databases: PostgreSQL · Oracle DB
Systems: Embedded Systems · IoT
Architecture: REST APIs · Microservices
DevOps: Docker · Kubernetes · CI/CD Automation · Grafana

Competitions

  • National Girls Programming Contest (NGPC) — 2019
  • Ada Lovelace Datathon — 2021
  • FemTech Idea Contest — 2022

Education

B.Sc. Computer Science and Engineering
Rajshahi University of Engineering and Technology (RUET)

Higher Secondary Certificate — Science
Holy Cross College

Connect

LinkedIn Google Scholar Website

Pinned Loading

  1. tensorflow-object-detection tensorflow-object-detection Public

    object detection and count same object using tensor-flow-models

    Python 1

  2. deep-learning-models-with-image-processing deep-learning-models-with-image-processing Public

    Use of Deep learning algorithms & image processing ,analysis to implement classification using transfer learning.

    Jupyter Notebook

  3. e-karigor e-karigor Public

    E-Service to get the construction workers on request.

    TypeScript

  4. count-products-in-densly-stacked-similar-geometric-shaped count-products-in-densly-stacked-similar-geometric-shaped Public

    Python-codes to convert image label xml to yolo 's yml format, implementation of GAN,image augmentation

    Jupyter Notebook

  5. dsa-algo-competitive-programing dsa-algo-competitive-programing Public

    Problem solving ,Algorithms and DSA implementation codes in python3

    Python

  6. package-allocation package-allocation Public

    Okihai Hokan- A smart package-slot allocation system using backend: Java , Spring boot, frontend: Reactjs, Typescripts.

    Java