Thinh Ngo

thinh@example.com

Software Engineer with a focus on web technologies and distributed systems.

Education

Harvard University—Bachelor of Science in Computer Science | GPA: 3.9/4.0

|2019 - 2023

Meta—Staff Software Engineer

|2024 - Present

Architected the real-time content ranking system for Facebook Feed serving 3B+ daily active users with personalized recommendations.
Led a cross-functional team of 12 engineers to redesign the ad delivery auction system, increasing advertiser ROI by 18%.

Uber—Senior Software Engineer

|2022 - 2024

Built the dynamic pricing engine for Uber Eats, processing 800K+ orders/hour with real-time demand forecasting using gradient-boosted models.
Designed a fault-tolerant dispatch system that reduced rider wait times by 25% in high-density urban markets through predictive driver repositioning.

Robinhood—Software Engineer

|2021 - 2022

Implemented the options chain streaming infrastructure handling 2M+ concurrent WebSocket connections during peak market hours.
Built the clearing and settlement reconciliation pipeline, processing $4B+ in daily trade volume with zero discrepancies over 18 months.

Scale AI—Software Engineer Intern

|Summer 2020

Developed an automated annotation quality scoring system using ensemble ML models, reducing human review overhead by 45%.
Built a task routing optimization service that improved annotator throughput by 30% through intelligent workload distribution.

Amazon—Senior Software Engineer

|2020 - 2021

Designed the distributed inventory reservation service for Amazon Prime, processing 25M+ requests/minute with strong consistency guarantees across 15 regions.
Led migration from a legacy Oracle-based system to DynamoDB and event-driven architecture, reducing checkout oversell incidents by 31% during peak traffic events.

LinkedIn—Software Engineer

|2019 - 2020

Built the job recommendations ranking pipeline leveraging real-time behavioral signals from 900M+ member profiles, increasing job application CTR by 22%.
Implemented a nearline feature computation system using Kafka and Flink, reducing feature freshness latency from 10 minutes to under 45 seconds.

Airbnb—Software Engineer Intern

|Summer 2019

Developed a pricing elasticity experimentation framework used by 40+ growth teams to test dynamic pricing strategies across global markets.
Optimized search result pagination queries in MySQL by introducing composite indexing and query rewriting, reducing median response time by 37%.

ngothinh2511• 4h ago

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