Open to opportunities

Data Systems &
Automation Engineering

I build automation-heavy data systems—pipelines, dashboards, and engineering tooling—that scale reliably and save teams real time.

3000+ labor-hours eliminated annually through process automation and waste reduction

6 peer-reviewed publications in microscopy image analysis & computational biology

Currently: Building IoT sensor networks and real-time analytics dashboards for environmental monitoring.

Background BS Chemical Engineering (UIC, 3.8) → MCS Computer Science (UIUC, 4.0)

Python SQL AWS Docker ESP32 PyTorch

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Running Now

Public data from the sensor network I run at home

Ingesting every 10 minutes

Home Environmental Sensor Network

ESP32 boards around the house log CO₂, particulates from PM1 through PM10, temperature, humidity, air pressure, illuminance, color temperature, and soil conditions. Readings move through a cron worker into precomputed artifacts on R2, with no runtime database. The full dashboard is access-gated. This public view publishes daily statistics on a 30-day delay, so nothing released reveals when anyone is home. Readings sit alongside an outdoor baseline drawn from the city sensor network, which is what turns an indoor number into a ratio.