Professional Summary
Firmware engineer with 3 years designing firmware for recording subsystems in high-capacity hard disks. Served as Scrum Master for an experienced team, enhancing yield productivity through data-driven insights. Developed computer vision robotics using ROS and a Visual Transformer model for ASD detection using rs-fMRI data.
Core Competencies
PyTorch
OpenCV
Docker
CI/CD
ROS
Test Driven Development
Scrum Master
C/C++
Work Experience
KL, Malaysia
- Team Leadership: Served as Scrum Master for a team of 10 experienced engineers, ensuring smooth feature delivery.
- Read-Write Integration: Developed Read-Write Integration algorithms, allowing up to 0.5-1% uplift in capacity per unit.
- Yield Improvement: Implemented early screening techniques in firmware, with additional 1% yield in product lifecycle.
- CI/CD & TDD: Spearheaded Test Driven Development and effectively utilised CI/CD pipelines to cut failure-to-resolution times to within weeks.
- Cross-Functional Collaboration: Collaborated with cross-functional teams to design solutions in improving yield productivity and capacity by analyzing manufacturing metrics.
Burgundy, France
- Omnidirectional SLAM: Applied omnidirectional camera models for Visual Simultaneous Localisation and Mapping (SLAM) in robotics, allowing robots to navigate solely on omnidirectional camera input.
Projects
MagicTrackpad2ForWindows Open Source, Contributor
Magic Trackpad 2 Precision Touchpad driver for Windows 11, signed by Microsoft
GitHub: vitoplantamura/MagicTrackpad2ForWindows
MDD Detection Using EEG Signals and Deep Learning Transformer Model Published 2024
Identifies major depression disorder (MDD) using effective connectivity (EC) analysis of EEG data and vision transformers (ViT) with 82.17% accuracy
DOI: doi.org/10.1109/ISIEA61920.2024.10607224
Skills
ML/AI:
PyTorch
OpenCV
Hugging Face
Ollama
DevOps:
Docker/podman
docker-compose
nginx
Infrastructure:
GNU/Linux
Languages:
C/C++
Python
Go
Rust
Languages:
English
Malay
Japanese
French