Computer Vision Engineer | Medical Imaging Research | Deep Learning | Seeking Opportunities
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lovely Professional University
Computer Vision Engineer
June 13, 2026 – Present
applied-data-analysis-ml-projects
January 2, 2026 – Present
A collection of applied machine learning projects combining data analysis, classical ML, and deep learning to solve real-world problems across multiple domains.
View Projectclassical-machine-learning-pipelines
January 2, 2026 – Present
Classical machine learning pipelines implemented from first principles, focusing on data preprocessing, feature engineering, algorithm design, and reproducible experimentation using Python.
View Projectmachine-learning-fundamentals
December 18, 2025 – Present
Machine learning course with theory and hands-on implementations
View Projectai-and-intelligent-systems-fast-track
December 18, 2025 – Present
Fast-paced applied AI course covering data analysis, NLP, neural networks, CNNs, deployment, and intelligent systems with hands-on implementations.
View Projectartificial-intelligence-fundamentals-undergraduate
December 18, 2025 – Present
Undergraduate Artificial Intelligence theory and lab implementations
View Projectprivacy-enhanced-distributed-data-mining
December 18, 2025 – Present
Phase-2 implementation of privacy-preserving distributed data mining using RSS-RMD and K-Means/Naive Bayes on 4D-rotated datasets, following IEEE and Elsevier research methodologies.
View Projectazure-diabetes-prediction
December 17, 2025 – Present
Academic prototype for diabetes prediction using Azure Machine Learning
View Project4d_rotation_transformation
December 17, 2025 – Present
Implementation of a 4D rotation-based data transformation method that applies orthogonal rotations to feature blocks for variance-preserving analysis of structured datasets.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards academic and research-oriented AI/ML topics, which aligns with roles requiring continuous learning and problem-solving. The diversity of projects, from classical ML to deep learning and privacy-preserving data mining, indicates a broad interest in the field. However, the lack of team-based or industry projects makes it difficult to assess collaboration and real-world application experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.