Help & Supportcareers@gravityer.com
Love to Build, AI based systems, Blockchain secured applications. Foodie and involved in food science ecosystem
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
akiya-3d
November 5, 2025 – Present
End-to-end pipeline for automatically converting Japanese floorplan images into 3D architectural models using U-Net semantic segmentation and geometric post-processing. Built to address visualization needs for foreign buyers of akiya (abandoned Japanese houses).
View Projectgontougo-mining-website
October 11, 2025 – December 4, 2025
gontougo-mining-website — repository
View ProjectHospitalResourceOptimizer
November 29, 2024 – December 3, 2025
Data-driven optimization system for efficient hospital resource allocation, leveraging machine learning to improve healthcare delivery and operational efficiency.
View ProjectRice-Yield-Prediction-in-Vietnam
October 21, 2024 – August 15, 2025
Develop a machine learning model to predict rice yields in Vietnam based on satellite imagery, weather data, and historical yield information, with a focus on the impacts of climate change.
View ProjectPower_Note_AI
May 2, 2024 – December 3, 2025
AI-powered intelligent note-taking application leveraging machine learning for smart content organization, automatic categorization, and enhanced productivity.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in data science and web development. However, the diversity of technologies used (HTML, CSS, JavaScript, Ruby, Vue, PL/pgSQL) suggests a broad interest rather than a focused deep dive into data science specific ecosystems. The target role is 'Data Scientist', but many projects are web-centric, which might indicate a broader skill set than strictly data science, potentially impacting cultural fit for a highly specialized data science team. The 'experienceLevel' is 0, which contradicts the project complexity, suggesting either a very fast learner or a lack of formal professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.