Engineering Intern Quality Assurance

Clayton Lau

Millbrae, CA 650-***-**** **********@*****.*** LinkedIn Github

EDUCATION

University of California, Santa Cruz Santa Cruz, CA B.S. in Computer Science Graduation Date: June 26

PROFESSIONAL EXPERIENCE

BoxNearby San Jose, CA

Software Engineering Intern June 24 - Present

● Developed and optimized a backend RESTful API, improving response times and reducing latency, resulting in a 20% increase in overall system performance by applying agile methodologies for continuous integration and delivery.

● Led a team of 3 backend developers in an agile environment to create a new API using AWS, Python, and SQL, achieving a 30% decrease in time-to-market through effective teamwork and sprint-based project management.

● Conducted comprehensive testing on backend API functionality, with strict attention to detail, identifying and resolving 95% of bugs prior to product launch, ensuring a seamless user experience through agile-driven quality assurance processes.

● Deployed and configured Ubuntu OS (Unix/Linux) on smart locker systems, increasing system stability by 30% by streamlining backend configurations and enhancing teamwork to optimize functionality and security within an agile framework.

Neuromorphic Computing Group Santa Cruz, CA

Research Scholar April 24 - Present

● Optimized event-driven computation in SNNtorch, applying advanced analytical skills to enhance the computational efficiency of spiking neural network models, resulting in a 20% reduction in training time compared to traditional PyTorch models.

● Improved model accuracy by 15% while analyzing the 3ET eyetracking dataset, utilizing research techniques to surpass standard sigmoid-based networks. Leveraged SNNtorch's biologically-inspired spiking neurons for more precise temporal data representation, demonstrating advanced analytical skills in machine learning model evaluation.

● Implemented SNNtorch’s event-based spiking neurons, decreasing energy consumption of neural network simulations by 30%, making deep learning models more sustainable and scalable. Applied analytical skills to quantify improvements, and contributed to ongoing research on sustainable AI technologies. AI Explainability Accountability Lab Santa Cruz, CA Research Scholar April 24 - Present

● Developed a streamlined process for testing autonomous vehicle simulations by implementing Docker containers and Kubernetes orchestration, resulting in a 40% improvement in testing efficiency through parallel simulations of adversarial sensor attacks. Contributed to academic writing by documenting the process.

● Conducted simulations of adversarial sensor attacks on autonomous vehicles using the CARLA simulator, achieving a 25% increase in detection accuracy by utilizing Kubernetes and Docker for scalable testing environments.

● Spearheaded the creation of a fault-tolerant testing framework for AV simulations, utilizing Docker and Kubernetes to enhance simulation uptime by 25% during adversarial attack scenarios and ensure consistent evaluation of AV performance. Waymo Fellow San Francisco

Fellow June 23 - August 23

● Collaborated with Waymo technical and project managers to develop a customized curriculum for interns, demonstrating strong time management and networking skills. The program resulted in a 95% satisfaction rate among participants and fostered connections for future collaborations.

● Led a diverse team of 20 interns in the successful creation of a cutting-edge website, showcasing initiative and effective time management. The project increased user engagement by 40% within the first month of launch, highlighting the team’s ability to meet deadlines and deliver results.

● Implemented a streamlined process for project development and role assignment based on best practices from Waymo and Google, utilizing time management techniques to reduce project completion time by 30%. The initiative also improved networking within the team, fostering collaboration and enhancing overall project efficiency. SKILLS & INTERESTS

Python, C, HTML/CSS, JavaScript, Unix, Git, C++, Java,SQL, RISC-V, RESTful API, AWS, SNNTorch, PyTorch, Data Structures, Fencing, Sewing

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