Kyaw Yan Lin
Machine Learning And Deep Learning Engineer
Lad Phrao,Bangkok
Summary
To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
1
1
Language
Work History
Robotics Engineer
University Of Leeds
09.2023 - 05.2024
- Experience in developing four-wheeled vehicle models for evaluating classical algorithms in autonomous navigation systems.
- Proficient in using a combination of traditional global and local path-planning algorithms to ensure safe and reliable navigation.
- Knowledge of classical algorithms such as A*, D* lite, D*, 𝜃*, Bellman, and Dijkstra for path planning in autonomous systems.
- Skilled in implementing and evaluating algorithms for efficient pathfinding in dynamic environments.
- Experience in simulation-based testing of robot and environment constructions to validate algorithms before real-world implementation.
- Demonstrated ability to conduct experiments integrating physical robots and real-world environments for comprehensive system evaluation.
- Collaboration with a team of researchers and engineers to drive project success in autonomous vehicle technology.
- Proficiency in using Robot Operating System (ROS) for developing and testing robotic applications, ensuring seamless integration of software components in autonomous systems.
- Experience in utilizing Linux operating system for its robustness and flexibility in providing a stable platform for development and deployment of advanced automation solutions.
- Familiarity with embedded systems design and programming, enabling the development of efficient and compact solutions for integration into autonomous vehicles and robotic platforms.
Machine Learning Engineer
University Of Leeds
09.2022 - 05.2023
- Developed a hybrid food recommendation system by combining content-Eased and collaborative filtering algorithms to enhance user dining experiences.
- Leveraged content-based filtering to analyze food item attributes such as ingredients, cuisines and user preferences, enabling personalized food recommendations.
- Implemented collaborative filtering techniques to identify user behavior patterns and preferences facilitating recommendations based on similar user interactions
- Utilized machine learning and recommendation algorithms (e.g. matrix factorization item-based and user-based collaborative filtering) to improve the accuracy and relevance of food suggestions
- Conducted data reprocessing and feature engineering to enhance the quality of the recommendation system, including text analysis of food descriptions and user reviews.
Deep Learning Engineer
University Of Leeds
09.2021 - 05.2022
- Successfully completed a project focused on deep learning-based image registration. Employed the state-of-the-art techniques and custom adjustments to register T1 to T2 medical images contributing to enhanced diagnostic accuracy and treatment planning in the medical field.
- Implemented advanced deep learning algorithms for feature extraction and transformation estimation.
- Utilized Python and industry-standard deep learning libraries such as TensorFlow or PyTorch to develop the image registration solution.
Education
Bachelor of Science - Computer Science With Artificial Intelligence
University of Leeds
Leeds, United Kingdom 09.2019 - 07.2023
Master of Engineering - Computer Science With Artificial Intelligence
University of Leeds
Leeds, United Kingdom 09.2023 - 07.2024
Skills
Deep learning
Machine Learning
Machine Learning
Robotics
Embedded Systems
Timeline
Robotics Engineer
University Of Leeds
09.2023 - 05.2024
Master of Engineering - Computer Science With Artificial Intelligence
University of Leeds
09.2023 - 07.2024
Machine Learning Engineer
University Of Leeds
09.2022 - 05.2023
Deep Learning Engineer
University Of Leeds
09.2021 - 05.2022
Bachelor of Science - Computer Science With Artificial Intelligence
University of Leeds
09.2019 - 07.2023
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