Help & Supportcareers@gravityer.com
AI Software Engineer · PhD EPFL · GSoC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Spot AI
Data Scientist
June 27, 2026 – Present
Multiband-Deconvolution
November 13, 2024 – Present
Joint multi-band deconvolution for Euclid and LSST
View ProjectIdentity-Recognition
November 4, 2024 – Present
A modified Inception-ResNet-v2 with 2D separable convolutions and only 11.8M parameters, optimized for image and speech classification
View ProjectPnP-ADMM
December 2, 2020 – August 8, 2025
Image Deconvolution with Plug-and-Play ADMM using an X-Dense-U-Net denoiser
View Projectscore-estimation-comparison
August 17, 2020 – October 13, 2021
Solving inverse problems with Denoising Score Matching
View ProjectData-driven-Astronomy
May 9, 2020 – May 11, 2020
My work for the MOOC on Data-driven Astronomy
View ProjectIBM-Advanced-Machine-Learning-and-Signal-Processing
May 3, 2020 – May 5, 2020
IBM-Advanced-Machine-Learning-and-Signal-Processing — GitHub repository
View ProjectComputational-Electromagnetics-FDTD-Analysis
January 31, 2020 – March 11, 2021
FDTD solutions of Maxwell's equations
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research-oriented and complex data science problems, particularly in image processing and scientific computing. This aligns well with roles requiring deep analytical skills and problem-solving. However, the projects are predominantly personal, making it difficult to assess collaboration or team-oriented work. The current role as a Data Scientist at Spot AI suggests a professional fit, but without details, it's hard to gauge the specific cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric or English test scores are available, and project descriptions do not provide insights into collaboration or communication styles.