Impact• Built the data engineering and analytics pipeline for 6K+ customers and 140K+ developers• Patented a novel model for PC user experience degradation detection (US20220334906A1)• Enabled in-app telemetry for performance benchmarking with Supermicro and Accenture for AI workflow products• Led home grown GenAI chatbot telemetry• Analyzed data gap and built an algorithm that drove quality and reliability tool improvementsExpertise• Trusted advisor on drawing valid conclusions from data insights with a customer-oriented attitude• Expert in Big Data and Streaming Analysis on different technologies• Big Data quality verification and consulting on data infrastructure for partnership with third parties• Known for turning real-world problems into data-driven consultations Leadership• Effectively leads X-geo, X-BU programs to success by setting technical direction based on business requirements • Research lead on identifying new product features and building models to predict feature feasibility • Mentored and trained 15+ individuals for professional and technical growth• Constantly leads a culture of inclusion and innovation through trust-building and creating safe spaces across Intel

• Designed and conducted a user study to test the efficacy of voice-powered applications to improve engagement and care coordination for elderly citizens in smart homes• Developed 30+ model-based correction algorithms in C++ based environment for multiple chip layers across various technology nodes to enable new process, improve yield, and decrease production cost• Established sizing and synthesis algorithms using Mentor Graphics Calibre SVRF in collaboration with all stakeholders • Solved technology specific issues by designing experiments, acquiring, vetting and analyzing the data • Performed technical review on design algorithms implemented by other flow owners to ensure mask quality• In charge of testing in-house software tools for variability, dependability and performance quality before new update releases for wide usage by the team• Mentored and trained new hires

joint appointment with Rehabilitation Institute of Chicago• Created statistical models of patient movement and developed a novel wearable user-interface based on inertial sensors for spinal cord injured patients to control a powered-wheelchair• Led a research team of 15 people and directly supervised the research of 3 PhD students and 2 undergraduate interns• Raised and managed $25K funds for Future of Research symposium via grant applications, vendors and training grant contributions

• Developed and user tested a novel wearable user-interface based on inertial sensors for spinal cord injured patients to control a powered-wheelchair• Technically advised and collaborated with a medical device company to produce the first commercial prototype for consumer testing • Created statistical models of patient movement and programmed the user-interface with patient-specific rehabilitation plans• Led a research team of 15 people and directly supervised the research of 3 PhD students and 2 undergraduate interns • Coordinated educational seminars and postdoc training sessions for a team of 100• Managed a $20K budget for research seminar expenses

Department of Liberal Arts• Teaching Human-Machine Interactions

• Restructured the company’s finances and organized the financial history in order to file for back taxes of 4 years• Created a system for managing finances going forward• Doubled patient intake for clinical trials by making the process more efficient

• Programmed and developed multiple virtual environments with Python/H3D for human behavioral studies • Designed a virtual reality (VR) and robotic interface for people with brain injuries to improve their arm function• Initiated a clinical trial (Internal Review Board certified) to investigate how people can accelerate their recovery using sensory and visual feedback following brain injury• Investigated complex arm movement in a robotic/VR setting to leverage natural behavior in designing an intuitive two-arm interface • Applied an optimized two-arm therapeutic approach to enable patients to use one arm accelerate the recovery of the other resulted in a $1M government funding for the next phase testing• Mentored and supervised 2 undergraduates and 5 junior graduate students

• Instructor for the Bioinstrumentation Laboratory - revised lab instructions, added to course curriculum with new labs and pre-labs, taught MATLAB and LabView to novices, and designed and guided trouble-shooting of the students’ electrical circuitry• Taught sessions in Bio-fluid transportation, Bioinstrumentation II and Introduction to Bioengineering

• Designed and executed a building panel by recruiting panelists representing different wrinkle grades (FLWs)• Developed a strategy to classify consumers’ perception of FLWs cooperating with the Consumer Research group• Established a range of FLWs by measuring the absolute dimensions of the silicone replicas using the Polytec Interferometer • Summarized the study’s findings in a technical report and presented it widely to the interested audience

• Programmed an RF micro device in C++ for use in a wireless nurse-call system

• Designed and programmed a user interface for a hearing-loss treatment software using MATLAB