Sheng Yang

About Sheng Yang

15+ years of experience in both industry and academia designing, developing, testing, and deploying quality production software combining business/process/data/CS models with various embedded system control, mathematic modeling, OR optimization, artificial intelligence and machine learning techniques;* Areas of expertise cover system design, algorithms/data structures, OOP, design patterns, embedded systems D&D, artificial intelligence, machine learning, mathematics modeling, simulation and various OR optimization/analysis techniques;* Dedicated to improving both the internal and external qualities (performance, productivity, reusability, scalability, reliability, and robustness) of large scale complex software systems using design patterns, refactoring, agile software management and SCRUM methodologies;* Proficient with C/C++, C#, Python, Embedded System D&D, Java, VB, ASP.NET with IIS, HTML/ XML, JavaScript, VBA, Shell Scripts, MATLAB/Simulink, x86 assembly, DBMS development on Oracle, PL/SQL, MySQL, MS SQL, ACCESS.

Experience

1. Sr Software Engineer, Tech Lead

   General Motors

   Oct 2018 — Present · Milford, MI, US

   Controls Engineering Tools GroupGlobal Electrification, Controls, SW & ElectronicsGeneral MotorsIn this position I am responsible for and oversee the whole life cycle of the critically-real-time-control-data-centered software design, development, testing, deployment and maintenance; specifically speaking, my duties include (1) 30% of time on architecting solutions, software system design, interacting with customers and engineers to determine the optimal solutions, new tools/methods, features, and requirements, leading cross-team design and development effort, and (2) 70% of time on software development, peer review, testing, validation, verification, deployment and maintenance. • Designed, developed, and deployed GMSIMTools, a widely used cross-department virtual system integration and validation infrastructure engine and its upper platform/interfaces which glues together different commercial simulation components over Intranet based on the FMI (Functional Mock-up Interface) protocols to support the fast evaluation of GM’s digital vehicle design, modeling, verification and validation before moving to the more time-consuming and costly SIL/HIL phases (saved over 80% of system design/evaluation time and 60% of h/w prototype testing cost).• Designed, implemented, and deployed the software tool AutoVal to (1) automate the EMC data collection based on TCP/IP and CAN communication protocols,(2) automatic testing and validation of vehicle controller data, and (3) automatic diagnosis training, learning, and optimization of controlling parameters using machine learning and data mining techniques such as CNN, RNN and MLP.• Designed and developed system architecture and tools used to support the GM Road-to-Lab-to-Math initiative with the goal of fully automating Powertrain.

Education

• Tsinghua University

  Master's Degree, Automatic Control

• Tsinghua University

  Bachelor's Degree, Automatic Control

• Tsinghua University

  Doctor of Philosophy (Ph.D.), Automatic Control

Skills

• C++
• Software Design
• Data Mining
• Cloud Computing
• C#
• .net
• Oop
• Simulations
• Algorithms
• Software Development
• Python
• Artificial Intelligence
• Databases
• Supply Chain Optimization
• Lean Manufacturing
• Embedded Systems
• Data Structures
• Automation
• Design Patterns
• Arena Simulation Software
• Real-Time Control Systems
• Optimization
• Java
• Operations Research
• Automatic Control
• Software Architectural Design
• Software Design Patterns
• Robotics
• Mathematical Modeling
• Machine Learning
• Data Analysis
• Software Engineering
• Vb.net
• Six Sigma