
Sr 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
Accrete AI
Data Scientist
June 16, 2026 – Present
Travel-Planning-ACP
July 26, 2025 – July 30, 2025
Travel-Planning-ACP — GitHub repository
View ProjectACP-Agent-Communication-Protocol
July 16, 2025 – July 16, 2025
ACP-Agent-Communication-Protocol — GitHub repository
View Projectnlp-with-transformers
February 19, 2025 – February 19, 2025
nlp-with-transformers — GitHub repository
View ProjectMDS-Deakin
July 12, 2024 – September 26, 2025
Repository for Master's in Data Science assignments and projects at Deakin University. This repository includes coursework, code, data, and documentation for various units and research activities.
View Projectvinayak-shanawad
December 13, 2023 – September 26, 2024
vinayak-shanawad — GitHub repository
View ProjectAI-ML-Projects
May 7, 2022 – March 25, 2024
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
View ProjectCapstone-AccidentLevelAPI
April 10, 2021 – April 6, 2022
Capstone-AccidentLevelAPI — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal AI/ML and Data Science initiatives, which aligns well with a data-driven culture. However, the lack of diverse project types or team-based work in the provided data makes it difficult to fully assess broader cultural fit. The single listed professional experience is current and recent, offering limited historical context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and there are no completed psychometric or English tests to provide insights into work attitude, stress handling, team collaboration, or communication clarity.