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Assessing your cultural and operational fit
multimodal-ai
June 24, 2025 – August 22, 2025
Multimodal AI workloads: batch inference, model training and online serving.
View Projecte2e-llm-workflows
June 7, 2024 – May 29, 2025
Fine-tune an LLM to perform batch inference and online serving.
View Projectllm-applications
August 16, 2023 – August 2, 2024
A comprehensive guide to building RAG-based LLM applications for production.
View Projectdata-engineering
September 12, 2022 – September 12, 2022
Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
View Projectmonitoring-ml
August 1, 2022 – September 12, 2022
Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
View Projecttesting-ml
August 1, 2022 – September 12, 2022
Learn how to create reliable ML systems by testing code, data and models.
View Projectmlops-course
November 12, 2020 – August 16, 2024
Learn how to design, develop, deploy and iterate on production-grade ML applications.
View ProjectMade-With-ML
November 5, 2018 – Present
Learn how to develop, deploy and iterate on production-grade ML applications.
View Projectfast-weights
December 3, 2016 – February 20, 2019
🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
View Projectthe-neural-perspective
August 30, 2016 – August 8, 2018
📓 Notes from The Neural Perspective (discontinued) blog.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal learning and development in MLOps and LLMs. While this demonstrates initiative and a strong interest in the field, the lack of team-based projects, professional experience, or diverse project types makes it difficult to assess cultural fit for a collaborative senior role. The projects are highly relevant to a Data Scientist role with an MLOps/LLM specialization.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on practical application and learning, which could suggest a proactive and self-driven attitude.