About
I'm a Computer Science student at Kent State University (Data Engineering concentration, minor in Russian), graduating in December 2026. The work I enjoy most sits where code meets physical equipment: getting readings off a device, moving them reliably into a database, and proving they're correct before anyone builds a report on top of them.
As team lead for a sensor network deployed with Kent State's Department of Agriculture, I designed the pipeline from Raspberry Pi Pico nodes to a Linux collection server and ran the team on sprints with code review and CI. On my own time I'm building CarPi, a Raspberry Pi that logs engine data from my car's CAN bus.
I also know operations first-hand: four years at a warehouse that tracks roughly 150,000 boxes, and a summer deploying IT infrastructure across Cleveland's public schools. I'm looking for an entry-level software engineering, test automation, or data role in Northeast Ohio. I'm fluent in English and Russian.
Projects
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Horticultural Environmental Monitoring System
Team lead · Kent State Department of Agriculture
A distributed temperature and humidity sensor network for horticultural research. I led the student team and designed the data path: Raspberry Pi Pico nodes report to a Linux collection server that stores and aggregates readings in a relational database. We shipped on schedule using sprints, GitHub code review, and CI on every pull request. I'm staying on as stakeholder for the year-two rewrite.
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CarPi: CAN Bus Telemetry
Personal project · In progress
A headless Raspberry Pi on my car's OBD-II port that requests live engine data from the ECU over CAN (MCP2515 + Linux SocketCAN) about 8 times a second and logs one CSV per drive. Every decoded signal is checked against a physical reference before a run is trusted, and a pandas pipeline, tested and deployed by GitHub Actions, turns the logs into before/after comparisons for an engine repair.
Free host · first load may take ~30s
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QueryShield: Data Privacy Framework
Big Data Analytics course
A privacy layer for analytical queries. Differential-privacy style noise and filtering limit how much sensitive data reaches query results, and access-control rules are enforced on the output. The filtering logic is covered by pytest suites that run in GitHub Actions on every push.
Experience
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IT Support & Infrastructure Intern · OneSparq
Cleveland, OH · Invited to return
Deployed and configured infrastructure for Cleveland Metropolitan School District, supporting hundreds of users across school sites. Reproduced reported hardware, network, and software issues, isolated root causes, and wrote the fixes into a shared knowledge base. Scheduled rollouts around class times to keep classroom downtime minimal.
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Warehouse & Logistics Associate · Corrigan Moving Systems
Northeast Ohio
Intake, retrieval, and organization for a warehouse holding roughly 150,000 boxes across long-term client accounts, plus hospital equipment logistics on strict schedules. Trusted with repeat high-value assignments for more than four years.
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B.S. Computer Science · Kent State University
Data Engineering concentration · Minor in Russian
Coursework in Database Design, Software Engineering, Operating Systems, Data Structures, Algorithm Design & Analysis, Programming Patterns, and Big Data Analytics.