
Erasmus Mundus Scholar @ IPCVAI | Graduate Researcher | Computer Vision Engineer | Full Stack Web Developer | Web Scraping and Automation Expert
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
https://github.com/CVLABLUMS
Data Scientist
June 30, 2026 – Present
Patch-Aware-Transformer
April 19, 2026 – Present
Fork of the PAT baseline for the Urban Elements ReID Challenge 2026, with modifications for experimentation and performance improvements.
View ProjectHarmonIt
February 17, 2026 – Present
Unified system to harmonize MR images across sites and scanners and protocols while preserving anatomy and pathology.
View ProjectAPS_failure_detection
December 11, 2025 – December 13, 2025
End-to-end machine learning pipelines for APS (Air Pressure System) failure detection including EDA, preprocessing, model selection with cross-validated grid search and threshold tuning with trained models with high accuracy for quick inference.
View ProjectEMG_fatigue_detection
December 4, 2025 – December 14, 2025
A surface electromyography (EMG) based method to detect muscle fatigue in human arms during resistance training and estimate the optimal number of repetitions per set of bicep curls..
View ProjectFYP
February 25, 2024 – February 25, 2024
Algorithms and Experiments for Self Driving Car Simulation on CARLA
View ProjectTheLab
August 17, 2018 – Present
This repository is for assigning and reviewing artifact which will be made as an effort to complete the FYP
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in data science and machine learning. The single listed work experience as a 'Data Scientist' at 'https://github.com/CVLABLUMS' aligns with the target role. However, the lack of diverse team projects or professional experience beyond this single entry limits the assessment of broader cultural fit and collaboration in a corporate environment. The experience level is listed as 0, which contradicts the 'Data Scientist' role with an ongoing start date, suggesting potential data inconsistency or a very recent entry into the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, and there are no other indicators.