Chiharu Mamiya

- Performing schematic design and hardware validation for reconfigurable NV center platforms optimizing FPGA for quantum sensing. - Debugging hardware issues using VHDL and Verilog to improve system reliability in low-cost quantum sensing devices on a Red Pitaya board in a Linux environment.

- Engaging in training in Siemens NX, project and risk management, heat transfer, and systems engineering for certification. - Collaborating with team members via Discord and organizing projects through Google Workspace for the Lucy mission, completing detailed project reports of the research conducted.

- Developed Python scripts to parse XML files and automate data processing, reducing development time by 50% and boosting project efficiency. - Transitioned legacy C++ code to Fortran and MFC, overcoming integration challenges through close collaboration with senior developers and using issue-tracking tools for bug monitoring and resolution. - Communicated progress and challenges in daily stand-ups, ensuring adherence

- Collected 1,200 datasets with accelerometers and gyroscopes, adhering to IRB requirements for data integrity and ethical compliance. - Trained KNN and SVM models in Python to classify shooting performance, refining training methods for athletes and hobbyists. - Collaborated with faculty and a peer, presenting findings bi-weekly and incorporating feedback to improve research methods and outcomes.

- Led a cross-functional team across time zones, using Discord for daily communication and Zoom for bi-weekly meetings to ensure alignment. - Resolved conflicts between schedules and outsourcing by negotiating timelines with vendors and adjusting internal deadlines. - Held monthly Zoom meetings to review progress and realign tasks, resulting in a 30% increase in applications through improved engagement.

- Maintained application systems using React, Node.js, TypeScript, Git, and AWS within an Agile environment, conducting code reviews and updates to optimize frontend performance. - Automated user testing with Jest, resolving test failures through targeted debugging to improve application efficiency. - Participated in weekly meetings to align with project timelines, stay on track, and contribute to team discussions on goals and solutions.

- Facilitated communication between systems and product engineers across locations using Microsoft Teams and shared documentation, aligning all stakeholders on project goals and timelines. - Managed Gantt charts and Excel sheets to streamline tracking for component sourcing and repairs on 96 turbines, boosting resource allocation and repair efficiency by 20%. - Conducted regular status checks to proactively address potential delays and ensure timely availability of materials, keeping the project on schedule

- Planned and executed 6 large-scale campus events, coordinating with dining services, staff, and student boards through meetings and email. - Led a team of 10 coordinators, ensuring event tasks stayed on track via weekly Slack check-ins. Implemented a tracking system with Google Sheets, improving response times by 20%. - Managed events, budgets, and incident responses, achieving a 15% cost reduction and increased participation.

- Used Microsoft Project to communicate timelines and milestones, aligning team members and mentors on deliverables and deadlines. - Led 50 market research interviews, analyzing data in Excel to generate insights that shaped the startup's pitch and strategy. - Balanced research, data analysis, and pitch prep by following a detailed schedule, ensuring timely task completion.

- Developed automated Python scripts integrating Appium Inspector and ADB, increasing testing efficiency by 30% and resolving critical delays. - Conducted system testing for a closed-loop adaptive deep brain stimulation system, using a function generator and oscilloscope to address hardware-software integration challenges. - Presented findings to the engineering team in weekly meetings, enabling swift issue resolution and enhanced system performance.