THE JOURNEY
SOFTWARE · SENSING · ROBOTICSFrom backend applications to sensing research, I keep following the connection between information and action.
Follow the thread2014–2020
I wrote my first Hello World in 2014. At CASA in 2015–2016, I began building backend applications and APIs. Bakery work from 2017–2020 brought a different kind of troubleshooting: keeping the shop’s computers working. Teaching children at Code Ninjas in 2019–2020 made clear explanations part of the job. Software was becoming a way to help someone do something.
2021–2023
At Element Materials Technologies, I wrote Python scripts that communicated with RF test equipment and parsed its data. The result depended on understanding the instrument as well as the code. I began software engineering at San José State University in 2022, bringing that practical experience into coursework and team projects.
2024
For DishSocial, I helped connect the team’s database, backend, and recipe-sharing interface. SocialSync moved that integration toward assistance: I helped build a responsive camera-inference workflow for facial-expression feedback. It was a working prototype, without established clinical outcomes. For Memento, a team memory-assistance project, I built the original FastAPI/PostgreSQL backend. Each project asked how captured information could become useful to someone.
Late 2024
In our ROS2/Webots vehicle simulation, I implemented a Kalman-filter node and added LiDAR obstacle avoidance to camera lane following. Noisy readings now affected the next action. I graduated from SJSU in December 2024, having been named an Engineering Dean’s Scholar in 2023, with a growing interest in the connection between sensing and control.
2025–2026
ReverseChess pushed me beyond game rules into repeated move requests, reconnects, clocks, and replay. RepoCoach applied the same attention to repository analysis: background jobs, stored evidence, and reports someone could return to. Both are working prototypes. Their less visible parts became some of the most interesting work—keeping state consistent and making the next step understandable.
That thread continues in the Personal Atlas Project, an ongoing native macOS application. I connected encrypted personal-history imports and source-linked search to on-device inference, then added experimental adapter training with reviewed datasets, checkpoints, and separate evaluation. The workflow lets someone inspect where an answer came from and what the model used.
2024–present
Olympus began as a more responsive home and grew into Mindmesh, an ongoing ambient intelligence research project. I work across mechanical, electrical, and software questions: wireless mmWave vital monitoring, embedded sensing, communication, and simulation. Firmware and signal-processing pipelines are implemented; broader orchestration is ongoing. The challenge is making each device’s observations useful to the rest of the system.
2026
I began master’s studies in Robotics and Automation at Santa Clara University in March. From June–August at SERES, I worked on magnetic tactile sensing for a dexterous robot finger: estimating contact position and force. I led the neural-network work, automated Torbal force control, and developed spatial-resolution and output-reference-point methodology. Reliable learning depended on the whole experiment: controlled contact, consistent measurements, and separate evaluation.
SERES / REPORTED RESEARCH
From approximately 50–70%
Evaluated with MAE and RMSE
Two training runs and one holdout run, with millions of data points at each stage.
2–3Millions
Complete touch-location-and-force measurements per minute.SERES results, reported separately from the synthetic browser experiment. The live lab displays its own measured errors.
Teach a small network to read a synthetic magnetic fingertip.
Now
I’m continuing graduate study while developing Mindmesh and Personal Atlas. My next focus is connecting learning systems to reliable physical behavior, from the measurement behind a prediction to the action it informs. There is more to build, test, and understand.