corpus.blog
41554 blogs · [ { "id": "01a087e0-27ac-73d4-85ff-11de048f0eff", "title": "Exploring Agent-Assisted Qualitative Analysis", "url": "https://www.sh-reya.com/blog/ai-qual-analysis/", "published_at": "2026-05-21T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de051890d0", "title": "On the Consumption of AI-Generated Content at Scale", "url": "https://www.sh-reya.com/blog/consumption-ai-scale/", "published_at": "2025-12-01T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de05aad6ef", "title": "In Defense of AI Evals, for Everyone", "url": "https://www.sh-reya.com/blog/in-defense-ai-evals/", "published_at": "2025-09-05T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de05ffde64", "title": "Writing in the Age of LLMs", "url": "https://www.sh-reya.com/blog/ai-writing/", "published_at": "2025-06-16T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de06ee35c5", "title": "Data Flywheels for LLM Applications", "url": "https://www.sh-reya.com/blog/ai-engineering-flywheel/", "published_at": "2024-07-01T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de0737ef6d", "title": "Short Musings on AI Engineering and \"Failed AI Projects\"", "url": "https://www.sh-reya.com/blog/ai-engineering-short/", "published_at": "2024-06-24T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de07c04845", "title": "Comparing LLMs on \"Real-World\" Retrieval", "url": "https://www.sh-reya.com/blog/needle-in-the-real-world/", "published_at": "2024-04-08T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de087433b6", "title": "Mid-PhD Research Talk", "url": "https://www.sh-reya.com/blog/phd-halfway-talk/", "published_at": "2023-11-16T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de08d39781", "title": "Study Notes for the Berkeley Databases Prelim Exam", "url": "https://www.sh-reya.com/blog/db-prelim-notes/", "published_at": "2022-09-12T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de0949629b", "title": "Thoughts on ML Engineering After a Year of my PhD", "url": "https://www.sh-reya.com/blog/phd-year-one/", "published_at": "2022-07-18T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de09e29c95", "title": "Notes on ARIES: A Transaction Recovery Method Supporting Fine-Granularity Locking and Partial Rollbacks Using Write-Ahead Logging", "url": "https://www.sh-reya.com/blog/aries/", "published_at": "2022-07-09T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de0adc6f56", "title": "The Modern ML Monitoring Mess: Research Challenges (4/4)", "url": "https://www.sh-reya.com/blog/rethinking-ml-monitoring-4/", "published_at": "2022-01-31T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de0b37cf36", "title": "The Modern ML Monitoring Mess: Failure Modes in Extending Prometheus (3/4)", "url": "https://www.sh-reya.com/blog/rethinking-ml-monitoring-3/", "published_at": "2022-01-03T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de0bf5e55f", "title": "The Modern ML Monitoring Mess: Categorizing Post-Deployment Issues (2/4)", "url": "https://www.sh-reya.com/blog/rethinking-ml-monitoring-2/", "published_at": "2021-12-13T00:00:00+00:00" }, { "id": "01a087e0-27ac-73d4-85ff-11de0c043421", "title": "The Modern ML Monitoring Mess: Rethinking Streaming Evaluation (1/4)", "url": "https://www.sh-reya.com/blog/rethinking-ml-monitoring-1/", "published_at": "2021-11-29T00:00:00+00:00" }, { "id": "01a087e0-27ad-7152-ab84-70c4709ed0bb", "title": "Introducing mltrace", "url": "https://www.sh-reya.com/blog/introducing-mltrace/", "published_at": "2021-05-10T00:00:00+00:00" }, { "id": "01a087e0-27ad-7152-ab84-70c470af7549", "title": "Predictive Modeling: A Retrospective", "url": "https://www.sh-reya.com/blog/predictive-modeling-retrospective/", "published_at": "2021-01-08T00:00:00+00:00" }, { "id": "01a087e0-27ad-7152-ab84-70c4718c7a61", "title": "Modeling Libraries Don’t Matter", "url": "https://www.sh-reya.com/blog/modeling-libraries/", "published_at": "2020-11-09T00:00:00+00:00" }, { "id": "01a087e0-27ad-7152-ab84-70c471b115e7", "title": "Get Rid of AI Saviorism", "url": "https://www.sh-reya.com/blog/ai-saviorism/", "published_at": "2020-08-21T00:00:00+00:00" }, { "id": "01a087e0-27ad-7152-ab84-70c472a05a3d", "title": "Choosing Between a PhD and Industry for New Computer Science Graduates", "url": "https://www.sh-reya.com/blog/new-grad-advice/", "published_at": "2020-07-24T00:00:00+00:00" }, { "id": "01a087e0-27ad-7152-ab84-70c4730bd9b4", "title": "Reflecting on a Year of Making Machine Learning Actually Useful", "url": "https://www.sh-reya.com/blog/making-ml-work/", "published_at": "2020-06-29T00:00:00+00:00" } ] posts Claim your blog
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2026

Exploring Agent-Assisted Qualitative Analysisoriginal ↗
21 May 2026

2025

On the Consumption of AI-Generated Content at Scaleoriginal ↗
1 Dec 2025
In Defense of AI Evals, for Everyoneoriginal ↗
5 Sept 2025
Writing in the Age of LLMsoriginal ↗
16 Jun 2025

2024

Data Flywheels for LLM Applicationsoriginal ↗
1 Jul 2024
Short Musings on AI Engineering and "Failed AI Projects"original ↗
24 Jun 2024
Comparing LLMs on "Real-World" Retrievaloriginal ↗
8 Apr 2024

2023

Mid-PhD Research Talkoriginal ↗
16 Nov 2023

2022

Study Notes for the Berkeley Databases Prelim Examoriginal ↗
12 Sept 2022
Thoughts on ML Engineering After a Year of my PhDoriginal ↗
18 Jul 2022
Notes on ARIES: A Transaction Recovery Method Supporting Fine-Granularity Locking and Partial Rollbacks Using Write-Ahead Loggingoriginal ↗
9 Jul 2022
The Modern ML Monitoring Mess: Research Challenges (4/4)original ↗
31 Jan 2022
The Modern ML Monitoring Mess: Failure Modes in Extending Prometheus (3/4)original ↗
3 Jan 2022

2021

The Modern ML Monitoring Mess: Categorizing Post-Deployment Issues (2/4)original ↗
13 Dec 2021
The Modern ML Monitoring Mess: Rethinking Streaming Evaluation (1/4)original ↗
29 Nov 2021
Introducing mltraceoriginal ↗
10 May 2021
Predictive Modeling: A Retrospectiveoriginal ↗
8 Jan 2021

2020

Modeling Libraries Don’t Matteroriginal ↗
9 Nov 2020
Get Rid of AI Saviorismoriginal ↗
21 Aug 2020
Choosing Between a PhD and Industry for New Computer Science Graduatesoriginal ↗
24 Jul 2020
Reflecting on a Year of Making Machine Learning Actually Usefuloriginal ↗
29 Jun 2020