CV/Resume

Education

November 2022: Machine Learning Engineer
- Altersene Limited.
- Proposed and designed an overall service architecture for industrial process automation systems in the RMG sector.
- Developed multiple machine learning models for RMG worker’s activity monitoring and improved the average precision accuracy by 30 %.
- Developed a continuous CI/CD ML model validation pipeline to ensure the trained model’s reliability and scalability in production.
- Built and tested semi‑automated ML pipelines on distributed servers for containerized applications using Docker and Kubernetes
September 2019: Lab Instructor
- North South University University
- Duties included delivering lectures on topics to grasp the knowledge of lab sessions.
- Prepared and delivered lab manuals for each course to conduct lab assessments in every class
- Courses Taught ‑ CSE311L‑ Database Systems Lab, Computer Architecture Lab, Digital Logic Design Lab, Object

Programming: Python, C/C++, Java, Bash‑Script, LaTeX, Markdown
Frameworks: PyTorch, OpenCV, NumPy, Pandas, SciPy, PIL, Matplotlib, Seaborn, Scikit‑learn, Streamlet, NLTK
Web Backend: FastAPI, REST Framework, Databases: Redis Stream, ZMQ, MySQL, MongoDB, Scraping: Beautiful‑Soap, Selenium
Utilities Git, Docker, FF-MPEG, Redis‑Insight, Label‑Studio, MS Office, Draw.io
Simulation Software: Logisim-Evo, Proteus, MARS MIPS Simulator, MATLAB SIMULINK, COMSOL Multiphysics, Quartus Pro.
Operating system: Windows, Linux.