Vivian Lim

Director of Engineering

United States13 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and computer vision for autonomous vehicles.
Proven track record in optimizing cloud services for performance.
Strong background in data analysis and statistical modeling.

Stackforce AI infers this person is a SaaS expert with a focus on AI and data-driven solutions.

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Skills

Core Skills

AiComputer VisionMappingLidar PerceptionC++Azure FrontdoorIndex-serving Efficiency

Other Skills

roboticscloud computingparallel programminghigh-performance programmingmap-based drivingglobal load balancerCDNmulti-threaded programmingsearch personalizationdata-collection pipelinesMicrosoft SQL ServerSQL Server Management StudioMicrosoft OfficeGoogle AnalyticsGoogle Ads

Experience

13 yrs

Total Experience

6 yrs 6 mos

Average Tenure

Current Experience

Amd

2 roles

Autonomous Vehicles Software Engineering Manager

Promoted

Jan 2020 – Jan 2025 · 5 yrs

We're looking for expertise in AI, computer vision, robotics, cloud, and parallel and high-performance programming!

AIcomputer visionroboticscloud computingparallel programminghigh-performance programming

Autonomous Vehicles Senior Software Engineer

Jan 2018 – Jan 2020 · 2 yrs

Lidar perception, mapping while driving, and map-based driving

Lidar perceptionmappingmap-based driving

Microsoft

Senior Software Engineer

Jan 2012 – Jan 2018 · 6 yrs

Azure FrontDoor: a global load balancer and CDN for Microsoft services like Office365, Bing, Windows Update
Reduced customer latency, load on partner servers, and protected against resource exhaustion
Unlocked per-server RPS about 2.5 times previous maximum by removing bottlenecks
Wrote multi-threaded, high performance C++
Bing User Data Platform: Low latency, scalable, user-data store for search customization at query time
Developed search personalization features and data-collection pipelines in C++
Bing Search Platform
Developed index-serving efficiency project for reducing web-search latency and increasing document-per-machine density