Shafkat Khan Siam
Research Engineer, Computer Vision, Deep Learning, Artificial Intelligence.
Email: sk.siam@outlook.com. or shafkat.kh022@gmail.com.
Technical Skills
- Advanced: Python, Tensorflow, Keras, PyTorch, Numpy, OpenCV, Scikit-Learn, Image Processing, NLP.
- Intermediate: Matlab, Algorithms, Signal Processing, Computer Vision, C++.
- Beginner: SQL, Django, Latex.
Education
- M.S. Computer Engineering, Chosun University, Kwangju, Republic of Korea, 2021-2023
- B.Sc. Electronics and Communications Engineering, Khulna University of Engineering & Technology, Khulna, Bangladesh, 2015-2019
Experience
Rokomari Ltd
Machine Learning Engineer, Dhaka, Bangladesh, March 2024 - Present.
- Developed Recommendation Engine for the e-commerce site Rokomari.com
- Created data cleaning and processing pipeline for personalized recommendation.
- Creating advertisement panel to serve targeted advertisement to relevant users.
Chosun University
Graduate Research Assistant/Research Engineer, Kwangju, Republic of Korea, April 2021 - February 2023.
- Developed and implemented advanced face detection and recognition algorithms for various projects.
- Designed and developed code for self-supervised image denoising techniques.
- Created neural network models for image-to-image conversion.
- Troubleshooting and refining recent work on segmentation-based deep learning methods and results for different methods for the co-authored papers.
Robi Axiata Ltd.
Project Engineer, Dhaka, Bangladesh, October 2020 - November 2020.
- Enhanced network performance by increasing the allocated bandwidth for base transceivers.
- Adhering to regulations while creating or removing beam formations through zonal controllers.
Grameenphone Ltd.
System Engineer, Dhaka, Bangladesh, July 2019 - June 2020.
- Conducted 24/7 alarm surveillance of network elements and systems.
- Escalated, following up, and reporting alarms until resolved.
- Performed stability checks based on system benchmark KPIs.
- Provided terminal-based support during planned activity execution in the network and ensuring successful completion.
- Enhanced the experience for content providers.
Languages
- Bengali, native.
- English, fluent.
