Draper

- Machine learning and geospatial data analytics task lead for a team developing algorithms to provide insights on geotagged data.
- Developed pipeline to process and analyze behavioral and physio data. Leveraged MATLAB to developed data processing pipelines for the MASTR-E program which allowed data to be (batch) processed and analyzed, and produced reports that show performance of individuals partaking in field and lab studies.
- Mentored student co-ops/interns and cadets in MASTR-E  by generating short-term sprints and providing oversight and review in algorithm development.
- Led machine learning pipeline development for prediction utilizing both Python and MATLAB. This entailed pipeline cycle development consisting of researching and developing metrics, machine learning problem formulation, result/progress presentations.

Senior Machine Intelligence Scientist/Engineer: Machine Intelligence

- Generated a space GNC technology roadmap by investigating gaps in space GNC technologies, performing interviews, and developing a plan of solutions to fill the technological gaps.
- Collaborated with DARPA to help accelerate Manned-Unmanned Teaming (MUM-T) innovations by applying rigorous analysis to identify capability gaps, helping shape portfolio development, and identifying the current state-of-the-art technologies and needed developments to address the capability gaps.
- Developed state-space and frequency-based analysis tools in MATLAB to analyze stability of Dynetics Human Lander System as part of the NASA Artemis program, which showed effect of slosh stability influence when utilizing differential throttle over thrust vectoring control.
- Developed filtering algorithms in C++ and post-processing scripts in python for vision-based Skymark (celestial) systems (GPS denied inertial navigation systems), which achieved sub-100m accuracy on water-based vessels.
- Conceptualized and spearheaded the development of a prototype nonlinear control algorithm in C for autonomous Joint Precision Airdrop Systems (JPADS).
- Developed MATLAB scripts to analyzed control algorithms and stability of JPADS systems and investigate instabilities in the system.
- Developed python-based post processing tools for machine learning algorithms developed as part of JPADS S&T.
- Undertook development of detailed algorithm description documents while meeting project deadlines.
- Proposed system improvements, future directions, and presented status updates and recommendations to customers such as NASA, Dynetics, and US Army.
- Orchestrated seminar series where interesting topics on current projects and software were discussed.

Senior Robotics Researcher: Perception & Autonomy

University of Florida

- Conducted Research in the field of robotics and nonlinear controls.
- Led research related to autonomy via reinforcement learning, specifically using data-based learning methods for control such as online adaptive dynamic programming/approximate optimal control and concurrent learning.
- Performed research on learning-based control and estimation methods, and research related to stability of nonlinear robust, adaptive, and multi-agent systems.
- Published technical results in high standing journals such as IEEE Transactions on Neural Networks and Automatica.
- Aided in writing grants and brainstorming proposal ideas.

Graduate Research Assistant: Nonlinear Controls and Robotics Lab

- Graded Students quizzes and exams.
- Taught classes.

Graduate Teaching Assistant

Air Force Research Laboratory

- Performed research related to autonomy and control at the University of Florida Research and Engineering Education Facility while collaborating with AFRL researchers.

Summer Research Intern

Belcan Engineering; Control and Diagnostic Systems

- Wrote procedures for integration testing.
- Worked with a team of engineers to analyze Pratt and Whitney aircraft engine software.
- Performed verification and validation analysis on Next Generation Product Family (NGPF) engine software to make sure they met software requirements and project deadlines.
- Wrote informal scripts to test engine software.
- Reviewed other tests perform in verification and validation.
- Performed integration testing of engine software to makes sure it meets customer requirements.

Engineer

- Worked with a team of engineers to analyze Pratt and Whitney aircraft engine software.
- Performed verification analysis on NGPF engine software to make sure they met software requirements and project deadlines.

Engineer Intern

Central Connecticut State University

- Helped students with academic work.
- Guided students through problem solving.

Mechanical Engineering Tutor

Norgren KIP Fluid Controls

- Ran tests on prototype solenoid valves and manifolds.
- Troubleshot malfunctioning products.
- Provided production support for the assembly floor.
- Performed valve characterization to see how valve characteristics change with certain parameters.

Engineering Intern

Highly motivated and goal oriented professional who enjoys working in interesting and challenging environments, applying and learning new skills, and making an impact. Focused on learning and data-based methods in variety of applications. 

Taplio

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