Adam Kulidjian

Summary

Hi, I'm Adam! I'm a designer, programmer, and musician, with a specialization in data visualization and infographics.

A substantial aspect of my work and process is creating diagrams and pictures to help people process, understand and think through a particular problem. Tangibly this means building wireframes, doing UI/UX, creating scrappy prototypes, and drawing diagrams live with clients.

A brief timeline:

I worked at Plotly between 2016 - 2019 where I created key charts such as Sploms and Gantt charts to help the python library hit more than 3 million downloads. To date, I'm the top #4 lifetime contributor to the Plotly Python Library.
Since 2020, I've been running a small boutique design shop called Zyphr, helping small to medium sized businesses visualize their data. Our industries range from TechBio, Finance, Health, and the Renewables space.

I'm always open to collaboration and taking on new projects, especially if I'm curious about the work you are doing!

If my content stands out, or if you have any questions whatsoever, that's your invitation to send me an email!

Working with the garage door open

Inspired by folks like Andy Matuschak and Alexander Obenauer, I am becoming more and more comfortable posting thoughts, incomplete work, and scrappy prototypes across various places on the internet. The more of your true self you reveal, the more easy it is for people who resonate with the real you to find you.

In this spirit, here is an ongoing collection of study ideas that I eventually want to start working on https://kulidjian.notion.site/Study-Design-Catalog-18bcc2b881af80379843c73596b5306d

I also occassionally write in one of my substack publications:

I write about agency and accountability on purposphere substack https://purposphere.substack.com/
A collection of essays, thoughts, diagrams, and stuff related to mental images, mental models, and stuff like that https://realtok.substack.com/

Past Work

TrendLine (2024 to Present) -- Automated issue identification for the wind and solar industry. Python, Plotly, Dash, Pandas, Figma. Built a diagnostic web app that ingests daily turbine data and surfaces where and why revenue is lost, written for a mixed audience of executives and engineers. Wrote the original product documentation and set the engineering practices (PEP-8, flake8, unit testing) for the team. The MVP is in active use; clients now request it to brief their managers.
- how many issues were discovered for site engineers and data analysts
General Metabolics (2021) -- Differential Analysis 1.0. Plotly, Jupyter, Python. Translated a PhD scientist's metabolomics analysis from a research notebook into an interactive product that non-specialists can run themselves. The tool democratizes a workflow previously locked behind custom code, and is being packaged as a paid offering.

Projects

Public Speaking / Interviews

PyData Talk (2024) https://www.youtube.com/watch?v=DZjCrLJ1xlk
https://www.youtube.com/watch?v=rVqr8Mry2jA