Yichuan Lu

Senior Software Engineer

Austin, Texas, United States7 yrs 1 mo experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led design of AI/ML data infrastructure.
Prototyped ML-based sensing device for anomaly detection.
Developed secure edge workload execution platform.

Stackforce AI infers this person is a Semiconductor and Data Science expert with strong software development skills.

Contact

yichuan5@hotmail.com LinkedIn

Skills

Core Skills

Software DevelopmentProgrammingProblem SolvingComputer ScienceData Analysis

Other Skills

AI/MLAgile DevelopmentC++CommunicationContinuous Integration and Continuous Delivery (CI/CD)Cost AnalysisData InfrastructureData VisualizationDatabase ManagementDockerFastAPIIn-depth AnalysisInfrastructure as code (IaC)JavaLabview

Experience

7 yrs 1 mo

Total Experience

3 yrs 6 mos

Average Tenure

4 yrs 10 mos

Current Experience

Advantest

Senior Software Engineer

Aug 2021 – Present · 4 yrs 10 mos · Austin, Texas, United States

Led the design of data infrastructure for AI/ML in a manufacturing environment, incorporating a broker-based messaging system. Developed infrastructure and SDKs (Java, Python), enhancing security and simplifying communication.
Developed a secure edge workload execution platform using FastAPI, optimizing Docker container management for quicker, more flexible production deployment.
Led the design and implementation of containerized signal processing services in C++, improving computational efficiency and reducing overall computation time through edge computing.
Directed agile development processes, translating customer needs into actionable items, facilitating cross-functional team efficiency, and achieving impactful results.

Data InfrastructureAI/MLJavaPythonDockerFastAPI+4

Texas instruments

System Engineer

May 2020 – Aug 2020 · 3 mos

Prototype ML-based sensing device for anomaly detection in Python. Benchmark system-level performance, analyze device cost and feasibility, and derive system specifications. Build the sensing device models and verify physical design and software requirements.
Built and simulated system-level performance benchmark in Python. Reduced system area cost by 1.5X through optimizing system algorithms.

Machine LearningPythonSystem Performance BenchmarkingCost AnalysisProblem SolvingComputer Science

Globalfoundries

Data Scientist intern

May 2018 – Aug 2018 · 3 mos

Built a data visualization application in R with a web interface to compare current test data with historical data. The web application constructs SQL queries, retrieves data from a database, merges data from other sources, and produces interactive graphics and statistics.
Built Python services to monitor production data with Gage R\&R. The services periodically generate reports on data variability and anomaly.

Data VisualizationRSQLDatabase ManagementData Analysis