Growing up during some of the fastest economic growth times in India, Priyanka has always been as much curious in understanding how modern inventions advancing humankind by leaps and bounds affected the societal sanctities as much as she has been in figuring out the inner workings of sophisticated systems built around telecommunication, software, databases and now machine learning and AI analytics. After finishing her bachelors from College of Engineering in Pune(India), Priyanka came to the US to pursue her masters from USC and spent almost a decade working for companies like Qualcomm and Intel to define some of the then new experiences on smartphones and internet-of-things using audio/video and camera integration through bare-bone software to begin with, followed by computer vision analytics to bring connectivity and context to the solutions. After a long sprint in the Silicon Valley, Priyanka decided to explore the other side of her passion through technology and machine learning by moving to Dallas and working for Parkland Center of Clinical Innovation (PCCI) an advanced not-for-profit clinical research organization which aims at pioneering ways to create healthier communities. As a Director of ML/AI at PCCI, Priyanka and her team are now streamlining clinical/healthcare data model development workflows from data engineering, training/re-training, deployment to statistical model evaluation fielding unique challenges like high dimensionality nature of healthcare data, flexibility of tuning parameters during prospective testing under clinician supervision and upholding compliance to HIPAA standards at all times to name a few. Trained under some of most prudent software and system architects of the world, Priyanka wows for nothing less than superior software engineering practices including test-driven development, agile methodologies, DevOps and loves to be plugged into discussions of revolving around bringing these time-tested practices into mainstream ML/AI development cycles while keeping enough room to usher in a new phase of "Responsible AI"