Umang Patel 👋

I led a team project that excelled in computer vision testing, utilizing our professor's innovative AI testing methods and tools. Our exceptional work set new standards and culminated in an AI-voiced video presentation showcasing our methodologies and findings. This presentation was selected for inclusion in our professor's upcoming keynote at the prestigious IEEE AI Testing 2024 conference, highlighting the significance of our contribution to AI testing.

  ● Delivered a functional prototype in about 10 weeks, moving the product from early concept to a usable demo for internal stakeholders.
  ● Set up modular backend components and containerized workflows, reducing rebuild and redeploy time from around 3 minutes to about 20 seconds.
  ● Maintained weekly delivery rhythm through contributor shifts, averaging 5 to 7 features or fixes per week to keep product momentum steady.

  ● Partnered with Adobe engineers and mentors on a real-world AI/ML application focused on user experience personalization.
  ● Designed and implemented scalable web components using React.js and Node.js, resulting in a 25% reduction in page load time.
  ● Presented deliverables and technical demos to Adobe stakeholders, receiving commendation for UX refinement and high-quality engineering practices.

  ● Engineered an application analyzing platform communication data, facilitating community driven development insights, which improved engagement metrics by 30%.
  ● Boosted project workflow speed by 20% by precisely translating IBM stakeholder needs into microservicebased designs, supporting scalable, modular development
  ● Acquired proficiency in IBM technologies and agile methods, leading to consistent 100% on-time delivery of high-quality results with a 25% boost.