AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Software Engineer
I am Tome Vang, a Software Engineer specializing in machine learning, computer vision, DevOps, and microservices architecture, with a comprehensive understanding of the end-to-end software lifecycle. Holding a Bachelor’s Degree in Computer Science from California State University, Sacramento, my career at Intel Corporation has provided me with a rich experience in Python, C++, and the intricacies of scalable software design. At Intel, I contributed to groundbreaking deep learning and computer vision projects, utilizing Python and C++ to enhance AI capabilities. My role extended to the design and implementation of microservices, facilitating the development of scalable, efficient, and resilient systems. I have a proven track record in automating CI/CD pipelines with Jenkins, leveraging Docker for containerization, and managing version control with Git, which has honed my skills in building and releasing high-quality software efficiently. My passion for technology extends beyond professional work into personal projects, including game development with C# in the Unity engine. This experience has broadened my programming skills and provided valuable insights into user engagement and interactive digital experiences. Driven by a passion for technology and its transformative potential, I am committed to continuous learning and embracing new challenges. I aim to contribute to innovative software solutions that make a significant impact. I welcome connections from like-minded professionals and those interested in discussing technology, collaboration opportunities, or sharing insights into the evolving landscape of software engineering.
Cosumnes River College
Computer Science
N/A – Present
California State University-Sacramento
Bachelor of Science (B.S.), Computer Science
N/A – Present
Intel Corporation
Machine Learning Software Engineer
March 1, 2018 – Present
Intel Corporation
Machine Learning Software Engineer Intern
August 1, 2017 – March 1, 2018
Intel Corporation
Maker Intern
November 1, 2016 – August 1, 2017
Virtual Reality Driving Simulator
January 1, 2017 – December 1, 2017
Using the Oculus Rift Virtual reality HMD, Leap Motion hand tracking technology, a Logitech video game steering wheel controller and Unreal Engine 4, my team and I are working on a virtual reality driving simulator that simulates real world driving conditions using publicly available traffic data. This project was designed to gather information regarding a driver's head position, visual direction, hand position and pedal pressure in various 3-dimensional real world driving conditions and scenarios. These scenarios can be customized with publicly available real time data such as traffic density and traffic light timings and can vary from accident situations and traffic jams in day or nighttime conditions. The data from this project can then be used to determine where a driver typically looks and how they drive in these conditions. This project was proposed by Dr. Khan, a engineering professor at CSU Sacramento and is as part of my senior project coursework at CSU Sacramento.
Cultural Fit Analysis
The candidate's experience at Intel, a large technology corporation, suggests an ability to work within established processes and contribute to significant projects. The involvement in open-source contributions (Ncappzoo) and creating learning content indicates a willingness to share knowledge and engage with the broader developer community. The 'Maker Intern' role and personal project (VR Driving Simulator) show a proactive, hands-on approach and an interest in innovative applications, which could align well with a dynamic R&D environment. However, the project diversity outside of Intel is limited to one academic project, which might indicate a narrower range of independent exploration.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through project contributions and creating learning content. Experience in supporting events and workshops suggests good interpersonal and presentation skills. The focus on open-source contributions and community engagement (user forum) indicates a collaborative and customer-oriented mindset. The detailed descriptions of work at Intel suggest a structured approach to software development and problem-solving.