Tony Chou

Software Engineer

Seattle, Washington, United States3 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

5+ years of experience in high-scale distributed systems.
2000+ stars on GitHub as an open source contributor.
Technical blogger with 400K+ views on Azure and data science.

Stackforce AI infers this person is a Backend Engineer specializing in Cloud Computing and Data Analytics.

Contact

Skills

Core Skills

Distributed SystemsApiBackendMachine LearningSoftware DevelopmentOpen Source ContributionResearch

Other Skills

Generative AICloudWatchAPI DevelopmentAmazon CloudWatchTelemetryData PlatformElasticsearchNeo4jApache AirflowData Analysis.NETData PipelinesGraphics DriverDebuggingBackend Development

About

● Backend engineer with 𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 building high-scale distributed systems at AWS, Microsoft, and unicorn startup ● Open source contributor with 𝟮𝟬𝟬𝟬+ 𝘀𝘁𝗮𝗿𝘀 on GitHub and 𝟭𝟬𝟬𝗞+ 𝘂𝘀𝗲𝗿𝘀 across projects ● Technical blogger for Microsoft Azure official blog and Towards Data Science with 𝟰𝟬𝟬𝗞+ views

Experience

3 yrs 9 mos

Total Experience

3 yrs 9 mos

Average Tenure

3 yrs 9 mos

Current Experience

Amazon web services (aws)

2 roles

Software Development Engineer II, Generative AI Operations

Apr 2025 – Present · 1 yr 1 mo

Building Generative AI Agent to automate troubleshooting in AWS https://aws.amazon.com/cloudwatch/features/aiops/
Designed and launched CloudWatch Investigation's RAG Service from scratch across 14 regions, orchestrating 10+ tools to enable the AI agent to automatically fetch telemetry, identify root causes, and propose resolutions
Reduced Topology Service API max latency by 80% by identifying thread contention through profiler flame graph analysis
Drove production incidents down 23% by leading root cause analysis across 100+ tickets and pushing top issue resolution
Led CloudWatch Logs tag migration to dedicated distributed cache across 21 regions with zero customer impact

Generative AICloudWatchAPIDistributed Systems

Software Development Engineer II, Observability

Aug 2022 – Apr 2025 · 2 yrs 8 mos

Designed and developed core backend services for Amazon CloudWatch, the largest real-time monitoring system in the world, serving 100M+ requests/sec at 99.99% availability
Led a team of 4 engineers to deliver telemetry relationships, ingesting 6 trillion relationships every hour
Improved ingestion latency by 10%, CPU by 8%, and saved $8M/year by refactoring the Metric metadata deduplication
Reduced blast radius by 99% during dependency failure by designing a new impact isolation protection
Lowered logs storage by 38%, Disk IO by 50%, CPU by 7%, and saved $11M/year by adopting binary logging framework
Eliminated 400+ security risks by leading the static-to-dynamic credentials migration with security team and PM
Reduced API authorization resource usage by 66% and latency by 35%, by redesigning the tag authorization framework
Resolved a billing bug that overcharged customers for 2+ months, coordinated refunds with PM and customer support

Amazon CloudWatchTelemetryAPIDistributed Systems

Appier

Backend Engineer, Data Platform (Unicorn Startup)

Oct 2021 – Jul 2022 · 9 mos

Increased data analysts’ productivity by 20%, by integrating data discovery service Amundsen with Elasticsearch and Neo4j
Designed a metric aggregation framework that enables analysis on 100M+ rows of data on the fly
Improved data latency by 30x, by applying multiprocessing on ingestion pipeline and batch processing on database
Provided fresh data in discovery service by developing Airflow data pipelines to ingest metadata from Hive Metastore
Enabled data preview on 40K+ datasets by building Apache Superset preview client and connecting it with data catalog

Data PlatformElasticsearchNeo4jApache AirflowBackend

Qualcomm

Software Engineer Intern

Aug 2021 – Oct 2021 · 2 mos

Created a full stack machine learning headcount prediction platform from scratch for directors and VPs in APAC
Collaborated with data scientists to design data pipelines and deploy machine learning models

Machine Learning.NET

Intel corporation

Software Engineer Intern

Jun 2021 – Aug 2021 · 2 mos

Increased graphics driver log completeness by 20%, by developing 2 new features in the driver debug tool
Encrypted confidential information in public release drivers by refactoring the display logging structure

Graphics DriverDebuggingSoftware Development

National cheng kung university

Research Assistant

Oct 2020 – Feb 2021 · 4 mos · Taiwan

Constructed a DL-Based system to improve baseball players’ mechanics by automatically overlaying their pitching clips
Verified the assistant system accuracy and stability by automated testing on 10+ games and 30+ pitchers

Deep LearningAutomated TestingResearch

Microsoft

Software Engineer Intern (Backend)

Jun 2020 – Jun 2021 · 1 yr

Reconstructed a backend quotation system to automate 1000+ inquiries, by integrating with mail servers using .NET
Designed and implemented a distributed system solution based on client’s requirements with system design concepts
Developed an analyzer to inspect the usage of 100+ conference rooms for 8000+ employees with Microsoft Graph API
Supported 50+ team members by creating Azure Kubernetes Service docs and Azure case studies for internal reference
Migrated applications to Azure Kubernetes Service with Docker to enable autoscaling and access to more cloud services

Backend DevelopmentAzureBackend

Github

Open Source Contributor

Oct 2018 – May 2021 · 2 yrs 7 mos

Contributing to a large open-source project, Amundsen, on increasing parallelism in the data ingestion framework
Created LINE Message Visualizer and attracted 100K+ users in 3 months to analyze their message history
Acquired 1000+ stars on GitHub by consistently creating and improving my own side projects

Open SourceData IngestionOpen Source Contribution