Mikel Vu
About
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Senior Engineering Manager
Vietnam
Résumé
Jobs
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Senior Engineering ManagerEmployment HeroAug 2023 - Current (3 years 3 months)I expanded my focus beyond team-level delivery to company-wide impact. I now oversee multiple engineering leads and cross-functional squads while collaborating closely with stakeholders in Product, Design, and Data Science. I play a key role in shaping technical direction, fostering engineering excellence, and driving AI-powered innovation across the product suite.
Key Responsibilities:
- Strategic Leadership: Act as a bridge between engineering and product strategy, ensuring alignment of technical efforts with long-term business goals.
- AI Product Development: Lead cross-functional initiatives to build new AI-driven features and products, working closely with data scientists and application teams to innovate and lever- Engineering ManagerEmployment HeroMar 2021 - Aug 2023 (2 years 6 months)As an Engineering Manager, I was responsible for leading several development squads within the Talent product family. I focused on delivering product excellence through strong project execution, team cohesion, and technical leadership. My role emphasized operational stability while cultivating a collaborative and innovative engineering culture.
Key Responsibilities:
- Project Delivery & Coordination: Led end-to-end project management of multiple Talent-related modules within the EH platform, ensuring timely, high-quality releases aligned with business objectives.
- Team Management: Oversaw multiple engineering teams, promoting a collaborative work culture while supporting team morale and individual growth.
- Techni - Senior Software EngineerEmployment HeroSep 2019 - Mar 2021 (1 year 7 months)As a Senior Back-end Engineer developing an HRIS web application platform using microservices architecture, I was responsible for designing and developing scalable, secure, and reliable back-end services, adopting microservices architecture, and ensuring that all back-end services meet the requirements of a high-quality HRIS platform. In details:
- Design and Development: Design and develop scalable, secure, and reliable back-end services using microservices architecture, ensuring that they meet the requirements.
- API Development: Develop and maintain APIs for the platform, ensuring that they are well-documented and that they meet the needs of the front-end and other services.
- Database Management: Implement and monitor dat - Software EngineerEmployment HeroSep 2017 - Aug 2019 (2 years)
- Software EngineerCybozu VietnamJun 2014 - Feb 2015 (9 months)Work on the biggest Japanese Groupware products of Cybozu: Garoon and Kintone. Mainly focus on web application development.
Education
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- Master of Computer Applications - MCA, Computer ScienceChonnam National UniversityJan 2015 - Jan 2017 (2 years 1 month)Studying and working as a researcher in the SmartComputing Lab, Dept. of Electronics and Computer Engineering, Chonnam National University.
I have been working in several fields of Bio and Neuroscience Imaging, researching solutions for applying multi-modal learning by leveraging different types of Neuron Networks, with medical data input: EGG, fMRI, MRI, and PET. We want to detect Alzheimer's disease early in older people, provide early treatment, and aim to prolong their life.
Outstanding achievements:
1. Multimodal learning using convolution neural network and Sparse Autoencoder (reference link: h - Bachelor's degree, Computer ScienceHo Chi Minh City University of TechnologyJan 2010 - Jan 2014 (4 years 1 month)
Publications
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- SNon-white matter tissue extraction and deep convolutional neural network for Alzheimer’s disease detectionSpringer Berlin Heidelberg AugIn this paper, we introduce an automatic and robust method to detect and identify Alzheimer’s disease (AD) using the magnetic resonance imaging (MRI) and positron emission tomography (PET) images. AD research as utilized with clinical and computer aid diagnostic tools has been strongly developed in recent decades. Several studies have resulted in many methods of early detection of AD, which benefit patient outcomes and new findings on the development of a deeper understanding of the mechanisms of this disease. Therefore, using the operation of electronic computers to diagnose automatically the incident of AD has served a vital role in supporting clinicians as well as easing significant elaboration on manual and subjectively AD diagnosing of
- IMultimodal learning using convolution neural network and Sparse AutoencoderIEEE FebIn the last decade, pattern recognition methods using neuroimaging data for the diagnosis of Alzheimer's disease (AD) have been the subject of extensive research. Deep learning has recently been a great interest in AD classification. Previous works had done almost on single modality dataset, such as Magnetic Resonance Imaging (MRI) or Positron Emission Tomography (PET), shown high performances. However, identifying the distinctions between Alzheimer's brain data and healthy brain data in older adults (age > 75) is challenging due to highly similar brain patterns and image intensities. The corporation of multimodalities can solve this issue since it discovers and uses the further complementary of hidden biomarkers from other modalities in