Overview:Offers technical services including machine learning, agent-based modeling, data analysis, mechanical design, mechanical simulation including finite element analysis, system modeling, and CAD design. Key Achievements:• Published “A Dynamic Model of Nonviolent Resistance Strategy” in PLOS ONE with the Harvard Kennedy School, having created an agent-based model of nonviolent resistance in MATLAB, exploring the effectiveness of various strategies available to resistance movements.• Developed an online service that helps individuals isolated due to COVID-19 connect with others by using a machine learning algorithm in MATLAB to form groups with similar interests.• Performed modal, harmonic, and transient finite element analysis of a novel acoustic sensor for a MEMS start-up in ANSYS, having created their first models based on prototypes and empowered them to continue analysis of future designs by providing code and documentation.• Innovated multiple improvements to micromirror MEMS switch, resulting two current patent applications.

Overview: Analyzes data using Python and machine learning techniques to help clients better understand and optimize their use of EMUE. Saves healthcare systems time and money by writing scripts that automate healthcare administration. Key Achievements:• Created and implementing machine learning models in Microsoft Azure Machine Learning to help hospitals prioritize billing.• Employed anomaly detection machine learning technique in Python to identify and communicate with clients regarding issues in their scripts' performance.• Created Python scripts that analyze client usage data stored in SQL databases to report to clients their time and money saved through automation as well as identify clients who having difficulties with automation.• Written multiple scripts minimizing hospital staff workload regarding COVID-19 vaccinations and other use cases.

Databound is now Cloudmed

Overview:Directed, advised, and guided a team of engineers to design and develop latest accelerometers and gyroscopes along with providing key design inputs. Oversaw and coordinated the overall design process throughout all stages from conceptualization through finalization, including overseeing MEMS validation and releasing designs for manufacture. Liaised and cooperated with process development group and MEMS foundries to determine and facilitate next generation process integrations. Organized meetings to discuss areas of concerns/improvements and develop prompt solutions along with presenting design and test data. Managed, updated, and maintained all the essential paperwork, such as design reports, MEMS specifications, and DFMEA documentation. Continued to personally perform design work including conceptualization, analysis, and CAD while also managing others.Key Achievements:• Trained and mentored four employees from parent company to increase knowledge and enhance skill set, enabling them to become MEMS Design Engineers.• Created efficiencies for design team and parent company by writing scripts for ANSYS and MATLAB that allowed for standardized verification analyses and design optimization routines.• Guided the design and supported fabrication of a new sensor for machine health monitoring that approximately doubled bandwidth for the same sensitivity and the same manufacturing cost by providing innovative improvements.• Investigated a new device with piezoelectric materials, branching out from the company's experience in capacitive sensing, which paved the way for two filed patent applications.• Collaborated with manufacturing engineers to develop a new fabrication process that decreases gyroscope variability by a factor of three, greatly improving yield for high volume manufacturing, which is included in a filed patent application.• Contributed to favorable quality audits for the entire department by revamping documentation requirements.

Overview:Prepared initial and final designs in CAD while handing over the latter for production and development. Optimized performance of accelerometer and gyroscope, including sensitivity and noise in MATLAB. Estimated detailed design performance including modal frequencies, shock durability, sensitivity, capacitive sensing effectiveness, and linearity by using ANSYS and MATLAB. Simulated dynamic response of MEMS and ASIC in MATLAB and Simulink, which includes signal processing. Discussed detailed findings with design team and engineers in other departments. Administered the validation of parts in the lab, devised test procedures, developed LabView programs, and monitored various aspects of testing. Reviewed, analyzed, and interpreted data using MySQL and MATLAB. Studied the root cause of failures during validation and reliability testing along with creating and executing effective work processes/approaches to avoid failures, maximize performance, and boost productivity of employees.Key Achievements:• Played a key role within the design team in developing the accelerometer most commonly used in Kionix products sold worldwide, which also had the largest market share in China.• Countered a failure mode faced by customers by developing a new test that effectively found failures, allowing for timely improvement of the sensor and reducing the failure mode occurrence.• Contributed to design improvement efforts improving shock reliability, resulting in a patent.• Discovered cause of gyroscope reliability failure by comparing test data using MySQL database queries and MATLAB with expected theoretical performance, and proposed a design change that significantly reduced sensitivity error and became a company standard approach to designing gyroscopes.• Promoted to the role of MEMS Design Supervisor for displaying expertise in mechanical design and simulation as well as the ability to mentor engineers.