
Algorithm Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Machine Learning Engineer with a proven track record in developing and deploying cutting-edge AI solutions. Well-versed in computer vision, NLP, autonomous driving, video analytics, and recommendation systems. Expertise in generative AI, BEV perception, large-scale model training, multi-modal LLM-driven systems, and data-driven decision-making. Passionate about leveraging AI and data science to solve real-world problems.
Nanyang Technological University Singapore
Doctor of Philosophy - PhD, Artificial Intelligence
August 1, 2021 – March 1, 2025
Nanyang Technological University Singapore
Master of Science (M.Sc.), Signal Processing
January 1, 2015 – January 1, 2016
Xidian University
Bachelor of Engineering (BEng), Electronic Information Engineering
January 1, 2011 – January 1, 2015
Desay SV
Principal Engineer
January 1, 2022 – June 1, 2025
Singapore · Hybrid
Shopee
Senior Data Scientist
September 1, 2021 – January 1, 2022
Singapore · Hybrid
YITUTech
Machine Learning Researcher
April 1, 2019 – April 1, 2021
Singapore · Hybrid
Organizational Strategies
Analytics Engineer
August 1, 2016 – April 1, 2019
Singapore · On-site
Cultural Fit Analysis
The candidate's experience spans various domains including autonomous driving (Desay SV), e-commerce (Shopee), and machine translation/chatbots (YITUTech), indicating adaptability and a broad interest in applying ML across different industries. This diversity, coupled with a strong academic background, suggests a good cultural fit for an innovative and research-driven environment. The target role of ML Engineer aligns well with their deep technical expertise and leadership experience in AI/ML.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in managing teams and spearheading R&D, suggesting strong operational fit for roles requiring initiative and project ownership. The detailed descriptions of achievements imply good problem-solving and strategic thinking. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills like stress handling or team collaboration is not possible.