AUTONOMOUS DRIVING SOFTWARE ENGINEER

Engineering the connection between vehicles and the cloud.

Building cloud systems, distributed messaging, and reliable engineering practices for autonomous vehicles.

GoMQTTRedisKubernetesPython
Concept diagram of vehicles, road trajectories, and cloud connections[ SIMULATED SYSTEM VISUAL ]

01 / FOCUS AREAS

Engineering focus areas.

From connectivity to data, reliability to observability.

01

Vehicle–Cloud Messaging

Connection management, delivery, reconnection, and link boundaries.

02

Distributed Systems

Event-driven processing, idempotency, state machines, and consistency trade-offs.

03

Reliability Engineering

Observability, failure drills, capacity validation, and recovery procedures.

02 / SELECTED WORK

Selected projects.

View all projects ↗
CASE STUDY / 01

Vehicle-Cloud Messaging · Demonstration Case Study

A basic design for MQTT event ingestion, processing, and failure recovery using simulated vehicle events. This is not a real company project.

GoMQTTProtobufRedis
Read case study ↗

03 / FIELD NOTES

Field notes.

Read all writing ↗
FIELD NOTES / 2026-10-18

MQTT Reconnection: A Reproducible Reasoning Framework

A simulated environment for validating connection closure, resubscription, and message recovery without involving production systems.

MQTTTCPReliability
Read article ↗

04 / ABOUT

Explain complex systems clearly. Solve engineering problems well.

This site records case studies, reproducible experiments, and continuous learning. Personal experience and results are still pending review.

About me ↗