Jay Raithatha

-Designed new iterations of actuated pepperoni clamps in SolidWorks to address lifting and deformation issues, significantly enhancing machine performance and reliability
-Collaborated with engineering stakeholders to develop test requirements and organized comprehensive test campaigns to empirically determine clamping performance relative to heritage design
-Calculated the minimum holding torque necessary for the pepperoni clamps by designing a jig to ascertain the material properties of a pepperoni, reducing clamp failures and increasing uptime
-Conducted routine hardware and software systems tests of robotic pizza machine to diagnose, document, and communicate relevant issues, allowing for continuous fault detection and performance improvement
-Optimized machine performance by implementing process and firmware changes to establish SOP and reduce downtime

-Led the analysis of SAE Level 2 and 3 autonomous vehicle deactivation traces to classify and categorize common failure mechanisms, resulting in a stable decline of deactivations per mile of driving
-Selected an appropriate in-car DAQ cooling system by comparing effectiveness using an array of thermocouples and identifying trends in temperature changes, ensuring consistent function throughout a range of weather conditions
-Collected data traces during proving ground test campaigns to improve the traffic sign detection performance of the forward-facing stereo multipurpose cameras, enhancing autonomous vehicle capabilities and customer usability
-Updated and troubleshot ADAS ECUs to certify fleetwide consistency in the testing and validation of advanced and autonomous driving software

-Oversaw the manufacturing of injection-molded bread trays during the transition to automated production by integrating a chute to transition the trays from machine to conveyor while maintaining consistent orientation, eliminating the need for a vision system
-Ensured proper fit and tolerancing of the chute by measuring and recreating the IMM and transfer conveyor in SolidWorks, reducing the downtime required for chute testing
-Performed preventative maintenance in the form of lubrication, calibration, and cleaning on existing factory automation to safeguard against possible failures and minimize potential downtime
-Integrated caging around existing automation to bolster safety compliance and further mitigate possible risk