[I wrote on this topic in 2024 as well as in 2025. All the references shared in those two posts are still valid] Two paths for LLM As described in the famous “The Large Language Model Course”, when it comes to contributing to the world of LLMs, there are two paths: LLM Science: This is … Continue reading Resources for LLM Engineering (2026)
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2024: Books I read
Parallelization of Data Science Workflow with Large Data using Dask
Brief Summary and outline of my talk about "Parallelization of Data Science Workflow with Large Data using Dask" in Dec 2020
2021: Books I read this year
My reading list for 2021
Automatic Feature Engineering on Large Scale Time Series Data using tsfresh & Dask
A summary of my talk on "Automatic Feature Engineering on Large Scale Time Series Data using tsfresh & Dask" at PyData Montreal Jan 2021 meetup & BelPy 2021 conference
Fundamentals of good API designing
What are the fundamental principles which an API Developer should keep in mind while designing an API
Inject Dependencies – Manually
In another post, “Do I Really Need a Singleton?”, I wrote about the problems introduced by the Singleton design pattern. When the single unique instance is being accessed through the getInstance() method, Singleton acts as a global variable in disguise and introduces tight coupling and unwanted dependencies. I have received two immediate questions from my … Continue reading Inject Dependencies – Manually