Kivan Polimis

I’m a Data Scientist and ML Engineer working at the intersection of public policy and scalable machine learning systems.

Currently: Data Scientist at Karna, Chief Data Scientist at Atlas Analytics, and Regional Affiliate at the University of Washington’s Center for the Study of Demography and Ecology (CSDE).

My Philosophy: I operate at the intersection of Public Policy and Machine Learning Engineering. My background in rigorous academic research (Demography/Causal Inference) allows me to ask the right questions, while my engineering experience allows me to build the scalable systems to answer them.

Kivan Polimis

Featured Work & Open Source

Generative AI for Healthcare (Private): Architected a privacy-first, multi-agent LLM orchestration framework using RAG to automate clinical documentation, reducing provider administrative load by 40%.
Real-Time Sports Analytics (Private): Designed an end-to-end MLOps pipeline on AWS handling live data ingestion to model non-stationary performance metrics for the 2024-2025 NBA season.
Scikit-Learn Ecosystem: Contributor to forest-confidence-interval and author of the associated JOSS paper for calculating variance in Random Forest predictions.
Large-Scale Optimization: Former Technical Lead for Data Science for Social Good, architecting paratransit routing systems that optimized thousands of daily trips.
Financial Transaction NLP: Developed a transformer-based microservice to categorize noisy financial text, utilizing custom loss functions to solve extreme class imbalance.

Writing

Technical Articles → Reproducible analyses, tutorials, and deep dives in Python and R.

Blog → Notes, reviews, and shorter pieces.

Contact: kivan.polimis@gmail.com

--- title: "Kivan Polimis" page-layout: full title-block-banner: false --- <div style="display: flex; flex-wrap: wrap; align-items: center; gap: 40px; margin-bottom: 40px;"> <div style="flex: 2; min-width: 300px;"> I'm a Data Scientist and ML Engineer working at the intersection of **public policy** and **scalable machine learning systems**. Currently: Data Scientist at [Karna](https://karna.com), Chief Data Scientist at [Atlas Analytics](https://www.analyticsbyatlas.com/), and Regional Affiliate at the University of Washington's [Center for the Study of Demography and Ecology (CSDE)](https://csde.washington.edu). **My Philosophy:** I operate at the intersection of *Public Policy* and *Machine Learning Engineering*. My background in rigorous academic research (Demography/Causal Inference) allows me to ask the right questions, while my engineering experience allows me to build the scalable systems to answer them. </div> <div style="flex: 1; text-align: center; min-width: 250px;"> <img src="images/kivan_polimis_headshot.png" alt="Kivan Polimis" style="width: 250px; height: 250px; border-radius: 50%; object-fit: cover; border: 3px solid #eee;"> </div> </div> <hr> ### Featured Work & Open Source - **Generative AI for Healthcare (Private):** Architected a privacy-first, **multi-agent LLM orchestration framework** using RAG to automate clinical documentation, reducing provider administrative load by 40%. - **Real-Time Sports Analytics (Private):** Designed an **end-to-end MLOps pipeline on AWS** handling live data ingestion to model non-stationary performance metrics for the 2024-2025 NBA season. - **Scikit-Learn Ecosystem:** Contributor to [forest-confidence-interval](https://github.com/scikit-learn-contrib/forest-confidence-interval) and author of the associated [JOSS paper](https://joss.theoj.org/papers/10.21105/joss.00124) for calculating variance in Random Forest predictions. - **Large-Scale Optimization:** Former Technical Lead for [Data Science for Social Good](https://github.com/DSSG-paratransit/main_repo), architecting paratransit routing systems that optimized thousands of daily trips. - **Financial Transaction NLP:** Developed a **transformer-based microservice** to categorize noisy financial text, utilizing custom loss functions to solve extreme class imbalance. <hr> ### Writing [**Technical Articles →**](technical.qmd) Reproducible analyses, tutorials, and deep dives in Python and R. [**Blog →**](blog.qmd) Notes, reviews, and shorter pieces. <hr> **Contact:** [kivan.polimis@gmail.com](mailto:kivan.polimis@gmail.com)