CAELUM // FLIGHT INTERFACE
UAV SYSTEM ONLINE

DRAG // SPIN TO LAUNCH

FLIGHT SYSTEM

READY

SOFTWARE // FLIGHT // SYSTEMS

AUTONOMOUS SYSTEMSUAVsROBOTICS

Building and validating systems at the intersection of software, automation, and autonomous flight.

FLIGHT VECTOR // MOBILEACTIVE

ROLL

+0.0°

PITCH

+0.0°

HEADING

247°

01 // ABOUT

BUILT AROUND
CURIOSITY.

I'm a technologist interested in the intersection of software, autonomous systems, and the physical world.

My experience spans UAV systems, software and hardware validation, robotics, and hands-on technical operations. I enjoy understanding how complex systems behave, finding where they fail, and building tools that make those systems easier to understand.

EDUCATION // 001

MAR 2025

UNIVERSITY OF CALIFORNIA, IRVINE

B.S. Informatics

Human-Computer Interaction · Minor in Management

GPA

3.6 / 4.0

FOCUS

HCI // SOFTWARE // SYSTEMS

02 // EXPERIENCE

FROM SYSTEMS
TO FLIGHT.

A path through communications, technical systems, UAVs, robotics, and autonomous aircraft.

FIELD NOTES

—Hands-on assembly and integration of autonomous aircraft systems.
—Perform production troubleshooting and identify hardware or process issues.
—Work within structured manufacturing and quality workflows.
UAV SYSTEMSHARDWAREPRODUCTIONTROUBLESHOOTING

FIELD NOTES

—Executed structured hardware and software validation tests.
—Generated labeled datasets used for machine-learning development.
—Documented system behavior and failures to support engineering debugging.
—Worked cross-functionally with engineers during system iteration.
ROBOTICSVALIDATIONML DATAHW / SW

FIELD NOTES

—Mentored 10+ UAV teams through aircraft builds and flight preparation.
—Led 20+ soldering and programming workshops.
—Coordinated 60+ outdoor flight sessions with safety and readiness checks.
—Expanded team build capacity through component planning and budget allocation.
UAVFLIGHT OPSSOLDERINGLEADERSHIP

FIELD NOTES

—Provided technical support for 500+ faculty, staff, and students.
—Maintained 15+ hybrid classrooms supporting courses and events.
—Troubleshot hardware, software, conferencing, network, and authentication issues.
—Delivered technical support for 140+ California Bar Exam examinees.
IT SYSTEMSA/VSUPPORTOPERATIONS

FIELD NOTES

—Operated and maintained secure field radio communication systems.
—Diagnosed signal, antenna, and equipment issues during field operations.
—Supported reliable communications in time-sensitive environments.
—Recognized as an Elite Warrior for performance across technical and physical evaluations.
RADIORF SYSTEMSFIELD OPSTROUBLESHOOTING

03 // PROJECTS

BUILT TO
UNDERSTAND SYSTEMS.

Selected technical projects spanning UAV telemetry, AI-assisted diagnostics, document intelligence, and interactive systems.

PROJECT // 001

NAVIS

UAV TELEMETRY // LOCAL AI // DIAGNOSTICS

STATUS // WORKING CORE · FRONT-END CONCEPT

NAVIS is a working local flight-log analysis toolkit. The interface shown here is a portfolio mockup exploring a planned front-end for its existing telemetry, anomaly-detection, and diagnostic tools.

CURRENT // LOCAL PYTHON TOOLING · NEXT // FRONT-END STRUCTURE

PYTHONPX4 ULOGOLLAMALOCAL LLM
NAVIS // FLIGHT INSPECTORINTERFACE MOCKUP // FRONT-END PLANNED
70.22 S

FLIGHT TIMELINE

0.00 S70.22 S229.01 S

SELECT EVENT

SELECTED EVENT

HIGH LOAD EVENT

VOLTAGE

17.94 V

CURRENT

48.83 A

SOURCE

PX4 ULOG

STATUS

CORRELATED

DIAGNOSIS

Event correlated with elevated current draw during a high-load maneuver. Telemetry context can be inspected around the detected timestamp for further diagnosis.

PROJECT // 002

CAELUM

WEB DEVELOPMENT // INTERACTION // DESIGN

An interactive portfolio built to present technical work through responsive interfaces, system-inspired visuals, and purposeful motion.

NEXT.JSREACTTYPESCRIPTTAILWIND
CAELUM // INTERFACEONLINE

SOFTWARE // FLIGHT // SYSTEMS

BUILT AS A SYSTEM.

Component-driven architecture with interactive telemetry, expandable experience data, and project-specific interfaces.

NEXT.JS / REACT2026

PROJECT // 003

AI DOCUMENT PARSER

RAG // DOCUMENT INTELLIGENCE // AUTOMATION

STATUS // WORKING PIPELINE · FRONT-END CONCEPT

A working document-processing pipeline built to automate structured data extraction from commercial real-estate documents. The interface shown here is a portfolio mockup exploring the planned front-end structure for reviewing, validating, and managing extracted results.

CURRENT // DOCUMENT PIPELINE · NEXT // FRONT-END STRUCTURE

PYTHONFLASKLANGCHAINCHROMADBGPT-4oEASYOCR
DOCUMENT PIPELINEINTERFACE MOCKUP // FRONT-END PLANNED
RAG SYSTEM

STAGE // 01

DOCUMENT INPUT

Users upload commercial real-estate documents through the document dashboard for automated processing.

OUTPUT

SOURCE FILE

VALIDATION SET

55 OFFERING MEMORANDA

AVG. PROCESSING

5–10 SEC / DOCUMENT

LOCATION

96.00%

BUILDING + LOT

95.91%

TRAFFIC COUNTS

83.27%

VISUAL DATA

42.42%

04 // CONTACT

LET'S BUILD
SOMETHING.

Interested in software, autonomous systems, UAVs, robotics, and the tools that connect them.

CONNECT // 001

EMAIL

KYUNGP3@UCI.EDU

↗

LINKEDIN

DREW KYUNGJIN PARK

↗

GITHUB

21YUNGK

↗

DREW KYUNGJIN PARK

BERKELEY, CA // 2026

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