Neural Field↗
A small network. A shape learned from examples.
Explore the fieldSOFTWARE / SENSING / ROBOTICS
I’m Ali Zargari, a software engineer exploring the intersection of intelligent systems, sensing, and the physical world.
Simulated contact, not live hardware data. The sensor is held in a fixture above a six-axis force/torque transducer. An articulated robot positions the probe. Move over the surface to position it; hold to press, then release to retract. With the field focused, use arrow keys to position the probe and plus or minus to adjust force. Run test starts an automatic sequence of positioning, pressing, and retracting. The fine curves follow the simulated magnetic field. Moving tracers indicate field direction.
SELECTED WORK & EXPERIMENTS
Experiments, systems,
and things I’ve built.
A small network. A shape learned from examples.
Explore the fieldSimple rules. Unexpected life. A page becomes a living system.
Explore the systemFamiliar pieces. Different consequences. Find a path to the other side.
Explore the systemA clearer way to explore the money behind political campaigns.
Explore the systemLearning where, and how hard, the world touches a robot finger.
Explore the systemExploring vehicle localization and navigation with noisy sensor readings.
Explore the systemExploring how real-time visual feedback can make social cues easier to understand.
Explore the systemConnecting personal history, source-linked search, and on-device intelligence.
Explore the systemConnecting sensors and local computing for a more responsive home.
Explore the systemA wearable memory aid, with the software to organize what it captures.
Explore the systemTurning a collection of repositories into useful, readable documentation.
Explore the systemOPEN THE LAB
Watch a neural field learn a shape, or teach a tactile sensor through touch.
Software engineer. Researcher. Curious by default.
I’m a software engineer in San Jose with a B.S. in Software Engineering from San José State University. In March 2026, I began master’s studies in Robotics and Automation at Santa Clara University.
My work connects applications, intelligent systems, and physical sensing. From assistive prototypes and Mindmesh to tactile-sensing research at SERES, I’m interested in how useful systems observe the world, interpret what they find, and act on it.
Build. Explore. Understand.San Jose, California37.3382° N · 121.8863° W
Robotics and AutomationSanta Clara UniversityMaster’s studies · In progress
B.S. Software EngineeringSan José State UniversityEngineering Dean’s Scholar, 2023
TOOLS & TECHNOLOGIES
Led neural-network work for robot-finger contact position and force estimation, automated Torbal force control, and developed spatial-resolution and output-reference-point methodology.
Wrote Python scripts to communicate with RF test equipment and parse test data, connecting software with laboratory instrumentation.
Taught children to code in Cupertino through Scratch lessons and workshops, breaking technical ideas into approachable steps.
Built applications and APIs in a startup environment, working with Node.js, databases, and backend architecture.
LET’S CONNECT
Interesting problems, thoughtful teams, or just a good conversation.