Recsys & search are converging with LLMs via semantic IDs, data augmentation, and unified foundation models.
04 Jun 2025 · 1 min · recsys llm engineering production
Chip Huyen and I share what we've learned, best practices, and insights at NVIDIA GTC 2025.
18 Mar 2025 · 1 min · llm engineering production
Being a human judge at the Weights & Biases LLM-as-a-Judge Hackathon
Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.
27 Jun 2024 · 2 min · llm ai engineering production
Challenges and lessons from deploying LLM experiences: evals, scalability, guardrails.
31 May 2024 · 2 min · llm engineering production leadership
Evals, retrieval-augmented generation, guardrails, and collecting feedback; all that good stuff.
09 Oct 2023 · 17 min · llm ai engineering production
Invited keynote at the Workshop for Online Recommender Systems and User Modeling (ORSUM)
23 Sep 2022 · 2 min · recsys engineering production
Daliana and I had a 2hr chat on all things data science and machine learning.
02 Dec 2021 · 1 min · datascience machinelearning career
An overview of system design, candidate retrieval, and ranking, with industry examples.
15 Sep 2021 · 1 min · recsys machinelearning production
Why the Amazon applied scientist takes the time to break down his work for readers.
02 Aug 2021 · 6 min · writing
Why real-time RecSys? What does the system design look like in industry? How to build an MVP?
13 Jul 2021 · 1 min · recsys machinelearning production
My favourite project, how I write weekly and how you can start, and content I would like to see more of.
02 Jun 2021 · 11 min · career writing datascience
We discussed about how to build and run data teams and engage better with business.
28 Mar 2021 · 10 min · datascience leadership
Mike and I take a philosophical detour on Talk Python and discuss life lessons from machine learning.
26 Mar 2021 · 1 min · machinelearning life
Design and architecture, tech stack, methodology, results, and lessons learned.
07 Feb 2021 · 5 min · machinelearning production
Why did I start writing? What's my writing process? What's the writing culture at Amazon like?
What's an average day like? What's great about the role? How's working in Amazon?
21 Sep 2020 · 8 min · datascience career
My chat with James Le about my experience, leadership, agile, ML in production, writing, and more.
03 Sep 2020 · 17 min · datascience leadership career
Comparing baselines (matrix factorization) against novel approaches using graphs & NLP.
14 Jan 2020 · 2 min · recsys machinelearning
In-depth sharing on how to put machine learning systems into production.
09 Oct 2019 · 4 min · machinelearning production
Keynote on how Asia's tech giants scale and their SuperApp strategy.
03 Oct 2019 · 3 min · machinelearning engineering leadership
How we built an ML system to predict hospitalization costs at admission; sharing at DATAx Conference.
06 Mar 2019 · 4 min · production machinelearning
What's the difference between a data scientist, data engineer, and ML engineer? A panel at Google.
17 Jan 2019 · 4 min · datascience career
Yes, Agile can be adopted by data science teams. Moderating a panel at GovTech STACK.
28 Oct 2018 · 6 min · agile datascience
Technical challenges easy compared to business and people issues. Sharing at the BDA Summit.
21 Jun 2018 · 8 min · datascience leadership
And my idiosyncratic journey to VP of Data Science at Lazada (Alibaba). A Lunchtime chat at INSEAD.
25 Apr 2018 · 2 min · datascience
What is data science, how to pick it up, and how to enter the field? A discussion with SMU undergrads.
26 Aug 2017 · 1 min · datascience career
Sharing about why data science, data science myths, a typical day, and more with TIA.
26 Jul 2017 · 4 min · datascience career
Tools and skills to pick up and how to practice them. An Invited Talk with Masters in IT candidates.
26 Jun 2017 · 1 min · datascience learning career
How Lazada ranks products to improve customer experience and conversion at Strata 2016.
09 Dec 2016 · 1 min · machinelearning production
Sharing about my first data science competition at DataScience SG.
20 Jun 2015 · 1 min · machinelearning
212 posts, 31 talks, 19 prototypes, 426,689 words, and countless hours.
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