I am a Mechanical Engineering student at Rochester Institute of Technolgy with experience in optimal and non-linear controls, machine learning, natural language processing, and computer vision. I strive to learn from my past experiences, and am comfortable being uncomfortable in challenging personal and professional growth situations. I am working towards my bachelors and masters degree in Mechanical Engineering but have performed research in various fields of machine learning.
I am in the process of completing a five year dual degree (B.S. and M.S.), in Mechanical Engineering at Rochester Institute of Technology. The area of focus for my Master's degree was Controls Systems primarily non-linear and optimal controls, and their applications to flight systems.2015-2021
Our team studied the properties of micro-scale gel beads substrates for use in vibrational energy harvesters. I utilized Matlab to analyze a the bead's geometric properties and developed a method for predicting the curvature of the beads. Our team presented our findings at RIT's Undergraduate Research Symposium, and published an article in the ASME Journal of Fluid Engineering.May 2016 - May 2018
I created and presented a web-based python tool which tracked the status of engines scheduled for removal in an active field program to senior management. I also compiled information for and wrote a CFM56 5B/E configuration service bulletin.June - Dec 2017
Our team developed a commercial tool which translates American Sign Language to English, helping to promote and empower Deaf and Hard of Hearing Indivduals. We presented at several RIT business model competions earning $4,500 in investment.Jan 2017 - Current
Our group proposed a one shot method for uncertainty quantification in regressions of high dimensional images which utilizes infinite mixture density models.October 2018 - Current