AI | ML | Data Scientist | AI for everyone
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Data Scientist
June 19, 2026 – Present
keras_diffusion_models
January 12, 2024 – January 24, 2024
keras_diffusion_models — GitHub repository
View ProjectThe-Definitive-Guide-to-Google-Vertex-AI
December 8, 2022 – Present
The-Definitive-Guide-to-Google-Vertex-AI — GitHub repository
View ProjectEaster2
May 19, 2022 – April 25, 2023
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION
View Projecttaco-box
November 28, 2021 – December 4, 2021
An implementation of Tiling and Corruption (TACo) Augmentations for OCR/HTR
View Projectrepresentation-learning
February 3, 2021 – February 3, 2021
representation-learning — GitHub repository
View ProjectTF2-Keras-GAN-Notebooks
January 5, 2021 – December 19, 2021
Generative Adversarial Networks with TensorFlow2, Keras and Python (Jupyter Notebooks Implementations)
View ProjectThe-GAN-Book
December 12, 2020 – April 12, 2024
The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.
View ProjectSentimentAnalysis
October 9, 2020 – October 19, 2020
SentimentAnalysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal GitHub repositories, indicating self-driven learning and exploration in data science. The current role at Google as a Data Scientist aligns with the target role. However, the listed experience start date (2026-06-19) and experience level (0) suggest this is a future or placeholder entry, making it difficult to assess actual professional experience or cultural fit based on current data. The breadth of technologies is somewhat narrow, heavily focused on Jupyter Notebooks and Python for ML.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.