MEng UC Berkeley / Product + Data

Loris Emanuelli

Product design / robotics / sports engineering / applied data

Portrait of Loris Emanuelli

Profile

Mechanical engineer building physical products with measurable behavior, from embedded robots to decision-focused ML systems

Current lens

Build

Mechanisms, wearables, embedded systems, and functional prototypes

16+

projects

3

domains

2026

latest

Robogotchi assembled robot prototype

Featured case

Robogotchi

Real-time interactive robot pet with ESP32 firmware, web GUI, OLED expressions, RFID feeding, touch, IMU, and motor behaviors

Open project ->

Embedded

ESP32, sensors, motors, OLED, RFID, dashboards

Mechanical

CAD, mechanisms, morphing materials, FEA

Sports

Biomechanics, wearables, injury prevention

Analytics

ML, forecasting, optimization, evaluation

Product Design Work

Physical systems with a point of view

Robotics, wearables, mechanisms, and sports engineering projects built around real interaction, prototyping, and measurable product behavior.

Data Work

Engineering decisions need models

Forecasting, optimization, and ML projects support the same product mindset: clear inputs, useful outputs, and honest evaluation.