Welcome
As an engineer I pride myself on providing creative solutions to the most challenging problems. While continuously working to deepen my expertise in areas such as robotics and autonomous systems, I provide services to a variety of industries. For more information feel free to contact me.
Dylan DeSantis
ENGINEER & CONSULTANT
Phone:
Contact for Number
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Email:
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Main Location:
Columbus, Ohio
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EXPERIENCE
2019-Current
Artificial Intelligence Engineer
Columbus, Ohio
2018
Doctoral Intern
Engineering Consultant
Embedded Control Systems
El Segundo, California
Aerospace Corporation
During his three month internship at Aerospace Corp., Dylan ideated and developed a real-time, long range object tracking software in C++ by developing advanced computer vision, machine learning, and image processing algorithms. The software is capable of simultaneously tracking and recognizing multiple high speed moving objects, whose shape and size vary over time, from a non-smooth moving camera in real-time and without any prior information about the objects or scene and without the need for color images. The software outperformed modern tracking algorithms in OpenCV and LabVIEW reaching processing speeds of up to 20 FPS on a standard desktop. Dylan was chosen as one of the four finalists out of all the graduates in the greater LA area to present his software to Aerospace's Vice President of Engineering.
At the same time, Dylan collaborated with a talented team of software engineers to develop a software-in-the-loop simulation framework for testing space vehicle flight software.
Path Robotics, Inc
Dylan is currently leading the real time feedback (RTF) and learning program. As the program lead he is responsible for:
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Designing the foundational hardware, software structure, and algorithms for the real time feedback platform.
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Managing the integration of the various components of the RTF product across multi-disciplinary teams.
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Developing and implementing advanced AI/CV/Robotics algorithms incorporating neural networks, advanced probability theory, control theory, path planning, and SLAM.
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Developing automatic calibration routines for the RTF sensors.
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Developing simulation and visualization software for algorithm testing and data generation.
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Designing and implementing GPU pipelines using CUDA to accelerate the computation of algorithms such as robotic kinematics, SLAM, ray-tracing, and particle filters.
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Developing peripheral and robot communication software for hardware integration.
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Designing testing routines and safety protocols.
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2017-2019
Course Co-Creator
Mechanical Engineering Dept.
The Ohio State University
Columbus, Ohio
Embedded Intelligent Products Course Creation
As a co-creator of the new senior/graduate level engineering course, Dylan was responsible for developing the entire laboratory content, software, and hardware from scratch. The course provides young engineers the fundamental knowledge for developing algorithms to solve physical processes and the exposure to modern applications of intelligent products to apply this knowledge. Developed around the Raspberry Pi microprocessor, the labs involve topics such as OOP in C++, hardware register manipulation, digital communications, mixed signal electronics, robotics, coordinate transformations, modern sensors, motor control, camera calibration, and computer vision. By the end of the course, the students apply what they have learned to compete in a multi-level color sorting robotic pick and place competition powered by computer vision. For a course syllabus please contact Dylan at the email provided above. To see an example of the competition developed by Dylan see his technical portfolio.
2015-2019
Co-Inventor
Principal Engineer
Manufacturing &
Electronic Design
Columbus, Ohio
SitSmart
Joining the team in 2015, Dylan has led the evolution of the SitSmart from a conceptual prototype to a commercially producible product. Working closely with local manufactures, Dylan has designed the medical smart sensor for mass production. He has also reshaped the SitSmart's electronic system to handle dynamic calibration and wireless communication for integration into cloud databases.
As a result of the now patent pending technology Dylan developed, an Ohio grant-funded medical device startup has been formed and is spearheaded by angel investors determined to deliver the SitSmart to the public in mass.
2016-2017
Fellowship Researcher
The Ohio State University
Columbus, Ohio
Nuclear Analysis and Radiation Sensor Lab
Dylan lead the team of researchers for both the Perovskite semiconductor and neuron depth profiling group at the NARS Lab. His work included sensor development for gamma spectroscopy as well as characterization of advanced Li-ion batteries, in particular SEI dynamics.
2015-2017
Consultant
Engineering Consultant
Embedded Systems &
Hardware Design
Opal Studios
Dylan was responsible for developing the electronic and mechanical hardware for the beta product of Opal Studios, a Seattle based augmented reality startup. Part of his role involved integrating the hardware of several systems such as wireless communications, touch panel displays, and electromechanical components. Due to the highly integrated and unique nature of the hardware Dylan designed, the contracted PCB manufacturer reached out to write a short review of Dylan's work on their website. See what they said here.
2015
Internship
Remanufacturing
Mechatronic Design
Fremont, California
Tesla, Inc
While at Tesla Dylan designed mechatronic systems for advanced diagnostics capabilities. He designed modular, automatic testing stations for the small drive unit team. He also developed python based software which enabled the correlated migration of databases whose relationships were previously unknown.
2014
Internship
Final Assembly
Quality Control​
Flat Rock, Michigan
Ford Motor Company
Dylan integrated new quality control measures for the 2015 Ford S550 Mustang, including digital tracking of real time quality risks. He also evaluated the trend between extra stock found in the vehicle to customer quality claims to quantify risk assessment.
2014
Internship
Rocket Propulsion Laboratory
Rocket Researcher
Warsaw, Poland
Institute of Aviation
Dylan conducted experimental research of hybrid rockets with utilization of highly concentrated Hydrogen Peroxide and Isooctane. By processing the data from over 1300 satellite systems, characteristics and trends were discovered relating thrust, orbital altitude, wet & dry mass, as well as propellant cost.
2013
Co-op
Turbine Airfoils Lean Lab
Manufacturing Technology Maturation
Cincinnati, Ohio
GE Aviation
Dylan managed the integration of self-calibration systems for autonomous manufacturing processes. He also developed extensive tooling for the advanced machining of airfoils.
2016-2019
Ph.D (Undefended)
Mechanical Engineering
The OHIO STATE UNIVERSITY
As a result of his graduate studies, Dylan has advanced his expertise in control systems, robotics, and AI with topics such as adaptive & optimal control theory, computer vision, and machine learning. His research focuses on deriving adaptive, dynamic models of the brain to generate a framework which will enable the design of autonomous systems that can integrate humans and AI into a single coherent physical system. In 2019, Dylan put his studies on hold to enter the workforce full-time as an Artificial Intelligence Engineer.
2016-2017
Master of Science
Mechanical Engineering
The OHIO STATE UNIVERSITY
While completing coursework in the area of advanced control theory, Dylan focused his research on the development and simulation of high energy photon detection with state of the art Perovskite semiconductor sensors.
2011-2016
Bachelor of Science
Mechanical Engineering
The OHIO STATE UNIVERSITY
Dylan graduated with a degree in mechanical engineering while holding positions such Engineering UTA for mechatronic courses.
EDUCATION
SKILLS
C++ - C - Python - MATLAB - LabVIEW - SQL - Linux - Git - CUDA - CMake - Unreal Engine
Solidworks - NX - CATIA - ProE - Abaqus - ANSYS - EAGLE - KiCad
PCB Development - Mixed Signal Design - Power Management - Digital Communications - Sensor Development - Camera Calibration
Embedded Programming - Computer Vision - OOP - Version Control - Algorithm Development - SIL Testing
System Integration - Control System Design - Dynamic Modeling - Robotics - Sensor Fusion - Machine Learning
Design for Manufacturing - Tooling & Jig Design - Product Testing - 3D Printing - Prototyping & Fabrication
EXPERTISE
Control Systems, Computer Vision, & Embedded Systems Development
During his Ph.D, Dylan specialized in the theory and design of control systems. This includes the development of control algorithms, advanced sensing methods, and the integration of software and hardware systems. As a result, Dylan has obtained a broad range of experience in implementing camera systems and utilizing advanced computer vision techniques.
Robotic Systems Design and Integration
Having numerous years of experience of mechatronic & robotic design enables Dylan to assemble complex and robust systems for most any application. From kinematics & dynamics to motor control, Dylan can provide insight and design expertise in various robotic applications.
Rapid Prototype Development
With a unique, creative perspective and a natural talent for hands on experimentation and fabrication, Dylan's expertise in rapid prototype development and testing can help accelerate a product's realization.
With a vast experience in manufacturing across various industries, Dylan provides expert design practices for precise and efficient product assembly.
PUBLICATIONS
2017
Nature Materials
Co-First Author
Wei, H., DeSantis, D., et al. (2017). Dopant Compensation in Alloyed CH3NH3PbBr3-xClx Perovskite Single Crystals for Gamma-ray Spectroscopy. Nature Materials, 10.1038/nmat4927
2017
Nuclear Instruments and Methods
Contributing Author
Xu, Q., Wei, H., Wei, W., Chuirazzi, W., DeSantis, D., Huang, J., & Cao, L. (2017). Detection of charged particles with a methylammonium lead tribromide perovskite single crystal. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 848, 106-108.