I'm Sai Dinesh Reddy Maluchuru — most people call me Dinesh. I'm a Data & ML Engineer at Microsoft on the OneNote Copilot and OneDrive / SharePoint team, working on petabyte-scale logging pipelines and the eval framework behind the Copilot video experience.
This blog is where I write the long-form pieces I wish someone had handed me earlier in my career — internals of distributed systems, decision trees for cloud architecture, honest write-ups of things that broke in production, study companions for the topics I keep relearning.
Path so far
- 2012–2017 · Dual Degree (B.Tech + M.Tech), Electrical Engineering, IIT Madras. JEE AIR 728.
- 2017–2019 · Associate at JPMorgan Chase. First taste of production data systems and what scale really means.
- 2019–2022 · Data Engineer at Amazon. Spark, EMR, big-batch pipelines, and learning that the hardest part of data engineering is rarely the code.
- 2022 – present · Data & ML Engineer 2 at Microsoft. 200+ TB of daily logs, 300B+ daily transactions, Oracle → Spark migrations, and an LLM-as-a-Judge evaluation framework for OneNote Copilot.
What I'm into
- Designing data systems that survive growth, not just launch.
- The boring, durable parts of ML: evaluation, observability, cost.
- Writing things down so I can think clearly — and so others can shortcut the path.
- Currently exploring AI agents and robotics as a startup direction with my wife.
Reach me
Email maluchurudinesh@gmail.com, or find me on GitHub, LinkedIn, or Twitter. The best way to keep up with new essays is the newsletter — one a month, no spam.