Machine Learning Engineer | Python | Deep Learning | Cloud
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Assessing your cultural and operational fit
Data Scientist
June 16, 2026 – Present
build-with-adk
December 2, 2025 – Present
Design patterns and production-ready architectures for building multi-agent AI systems with Google ADK.
View ProjectNamed-Entity-Recognition
May 27, 2022 – June 19, 2022
Named-Entity-Recognition — GitHub repository
View ProjectImage-Caption-Generation
August 23, 2021 – September 2, 2021
Image Caption Generation using Deep Learning, CNN to capture image features and RNN(LSTM) to interpret those features into captions
View ProjectCowin-Notify
May 28, 2021 – July 5, 2021
Notification mechanisms for availability of vaccination slots, also partial automation for booking slots
View ProjecteXplainable-AI
December 25, 2020 – July 5, 2021
Methods to interpret machine learning models/black box which can help us understand how it’s making decisions.
View ProjectIPL_DATA_ANALYSIS
November 1, 2020 – November 1, 2020
An IPL Data Analysis Application/Dashboard, deployed on Streamlit share server
View Projectsentiment-analysis
June 3, 2018 – July 31, 2021
Build a sentiment analysis application, Containerize Machine Learning Application using Docker and use Cloud services for deployment
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in AI/ML. The diversity of project topics (NLP, computer vision, reinforcement learning, data analysis) indicates a broad interest within the data science domain. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and cultural fit in a professional team setting. The candidate's current role at Google as a Data Scientist, if accurate, suggests a strong alignment with the target role, but the start date being in the future (2026) indicates this is likely a placeholder or future aspiration, not current experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.