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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
federated-ml
April 2, 2026 – Present
Examples, demos and projects implementing federated machine learning
View Projectsnowflake_pc
April 2, 2026 – Present
Learning and skill development for snowflake Professional certifications
View Projectmeta-dbe-pc
March 3, 2026 – Present
Meta Database Engineer Professional Certificate Capstone project
View ProjectAdaptiveSurveys
February 26, 2026 – Present
An AI Engineering project to learn from conversation history and assess the mental state.
View ProjectHDS_SwanseaUni_2023_2024
December 14, 2025 – December 14, 2025
My course work from Masters in Health Data Science, Swansea University
View ProjectATMA
December 9, 2025 – Present
Alzheimer's & Dementia Triage Monitoring Agent (ATMA) System
View Projectfruits-360
June 22, 2019 – June 22, 2019
This project uses fruits-360 data set and tries to model a resnet18 model implemented in pyTorch via transfer learning concept.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-learning and exploration, as evidenced by numerous personal projects covering diverse topics within AI and data science. This suggests a proactive and curious mindset. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or adaptability in a structured environment. The projects align well with a Data Scientist role, indicating a strong interest in the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insight into communication style or work attitude.