About Me
I grew up in the small town of Avon, NY, and graduated from high school in the spring of 2013,
ranking 4th in my class. From there I attended school at Monroe Community College (MCC), earning an
associate degree in Engineering Science. I transferred to the Rochester Institute of Technology
(RIT), where I completed a Bachelor's degree in Electrical Engineering. I completed the five-year
program in just 3.5 years, graduating in the top 1% of my class.
While pursuing my education, I gained valuable experience at Carestream Health, beginning as an electrical test technician and later advancing to lead software automation tester. After graduating from RIT, I moved from Rochester to Danvers, MA, to join the Frequency and Timing Division at Microsemi (now Microchip). During my time there, I gained critical experience in the Position, Navigation, and Timing (PNT) domain, along with exposure to RF concepts, applied statistical analysis, and hardware automation.
Despite my contributions at Microsemi, career growth opportunities were limited, largely due to the company's acquisition. When the Director of Engineering left to join Raytheon, he offered me a position with a significant pay increase (over 30%). Transitioning to Raytheon was an easy decision. However, my tenure there began just as the COVID-19 pandemic emerged, leading to a fully remote work arrangement from day one. This flexibility allowed me to relocate back to Rochester, where I was able to purchase a home.
About a year after moving back to Rochester, I was given the ultimatum to either return to MA or to resign. I chose to seek new opportunities, which led me to Orolia Defense (now Safran Federal Systems). At Safran, I gained extensive knowledge about GNSS technology. However, challenges such as frequent managerial changes and the lack of technical leadership prompted me to leave after about a year.
I am deeply passionate about learning and am eager to transition into a data-driven field. Throughout my career, I have focused on projects that harness the power of data in innovative ways. Some highlights include developing training models to calibrate hardware, creating tools to standardize and synchronize disparate databases, and building real-time interfaces to interact with and analyze the frequency data from multiple atomic clocks simultaneously. I encourage you to reach out to me here. Whether you'd like to introduce yourself, propose project ideas, or discuss job opportunities, I’d love to connect! I’m also excited about the prospect of collaborating on new and innovative projects with people!
While pursuing my education, I gained valuable experience at Carestream Health, beginning as an electrical test technician and later advancing to lead software automation tester. After graduating from RIT, I moved from Rochester to Danvers, MA, to join the Frequency and Timing Division at Microsemi (now Microchip). During my time there, I gained critical experience in the Position, Navigation, and Timing (PNT) domain, along with exposure to RF concepts, applied statistical analysis, and hardware automation.
Despite my contributions at Microsemi, career growth opportunities were limited, largely due to the company's acquisition. When the Director of Engineering left to join Raytheon, he offered me a position with a significant pay increase (over 30%). Transitioning to Raytheon was an easy decision. However, my tenure there began just as the COVID-19 pandemic emerged, leading to a fully remote work arrangement from day one. This flexibility allowed me to relocate back to Rochester, where I was able to purchase a home.
About a year after moving back to Rochester, I was given the ultimatum to either return to MA or to resign. I chose to seek new opportunities, which led me to Orolia Defense (now Safran Federal Systems). At Safran, I gained extensive knowledge about GNSS technology. However, challenges such as frequent managerial changes and the lack of technical leadership prompted me to leave after about a year.
I am deeply passionate about learning and am eager to transition into a data-driven field. Throughout my career, I have focused on projects that harness the power of data in innovative ways. Some highlights include developing training models to calibrate hardware, creating tools to standardize and synchronize disparate databases, and building real-time interfaces to interact with and analyze the frequency data from multiple atomic clocks simultaneously. I encourage you to reach out to me here. Whether you'd like to introduce yourself, propose project ideas, or discuss job opportunities, I’d love to connect! I’m also excited about the prospect of collaborating on new and innovative projects with people!