Alvin Tan
Alvin Tan

Senior Software Engineer

Open to offers · Member since 20 Oct 2026
Location
Louisville, United States
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Senior

About

Professional summary

I am a Senior Full-Stack Software Engineer with more than 11 years of experience building production software systems with Python, TypeScript, JavaScript, Node.js, React, and SQL.

I specialize in distributed systems, asynchronous processing, workflow orchestration, API design, and cloud infrastructure. I build reliable, scalable services that improve latency, fault tolerance, operational efficiency, and user experience.

At Google, I worked across Google Vids, Looker Studio, Google Labs Stitch, Google Keep, Google Fit, and Google Lens. My work included distributed workflow engines, event-driven migrations, AI-assisted product experiences, data validation pipelines, and high-performance backend services.

Previously at Microsoft, I contributed to Cortana, Bing, Microsoft Sway, and Microsoft Health. I improved service orchestration, frontend state consistency, API contracts, device-data pipelines, and search performance at scale.

I have hands-on experience with Google Cloud Platform, AWS, Azure, Docker, Kubernetes, Terraform, PostgreSQL, Redis, MongoDB, and BigQuery. I am particularly motivated by complex reliability, performance, and AI inference challenges where thoughtful system design produces measurable product impact.

Skills

29 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Languages & Frameworks

Experience

Career history

Software Engineer III Google

Owned backend and full-stack engineering for Google Vids, Looker Studio, and Google Labs Stitch. Built distributed workflows, migration systems, and AI-assisted design tooling focused on reliability, scalability, and production usability.

Rebuilt Google Vids export processing using Node.js, Python, Pub/Sub, and cloud storage, reducing export failures to below 0.5% and preview latency to 12 seconds. Improved workflow idempotency, eliminated duplicate rendering work, protected interactive capacity during export bursts, and led cross-team architecture reviews for service contracts and failure handling.

Software Engineer II Google

Built backend systems and data pipelines for Google Keep, Google Fit, and Google Lens, covering health data ingestion, asynchronous reconciliation, AI inference routing, search performance, and privacy-sensitive event processing.

Reduced Google Keep mutation p95 latency from approximately 4.2 seconds to under 400ms through Pub/Sub streams, FastAPI workers, and PostgreSQL index redesign. Built firmware-aware health data normalization, reduced permission revocation propagation to 90 seconds, improved Lens OCR routing latency, and developed read-optimized search projection tables.

Software Engineer Microsoft

Worked across Cortana, Microsoft Sway, Bing, and Microsoft Health on backend orchestration, frontend state management, API contracts, search aggregation, and device data processing.

Reduced Cortana timeout failures by approximately 60% through intent-aware parallel orchestration and graceful degradation. Improved Bing aggregation latency by 42%, resolved Sway layout divergence with a server-authoritative layout model, implemented firmware-aware health data validation, and standardized TypeScript API contracts across multiple services.

Software Engineering Intern Kollmorgen

Built Python automation for hardware-software validation workflows, including recurring test execution, log analysis, defect triage, and regression support.

Developed log-parsing and reporting utilities that converted raw test output into structured failure summaries. Automated setup, execution, and result collection tasks to improve repeatability, reduce manual debugging effort, and streamline release-preparation quality checks.

Education

Learning history

University of California, Santa Barbara

Bachelor of Science, Computer Science

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