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co founder deep learning engineer resume example with 3+ years of experience

Jessica Claire
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • H: (555) 432-1000
  • C:
  • resumesample@example.com
  • Date of Birth:
  • India:
  • :
  • single:
  • :
Links
  • http://www.agroview.ai
  • http://agroview.farm/
  • https://www.youtube.com/watch?v=qRd4g44b2lk
Professional Summary

Methodical Research Engineer with special expertise in pursuing patent opportunities in previously unexplored technology domains by submitting invention records and evaluating critical data. Proficient in the competitive intellectual property landscape. Offering knowledge in AI modeling, sensor fusion, application and smart machines development, deployment, and maintenance, combined with drive to deliver superior engineering services. Proven experience with recognized awards and peer-reviewed papers.

Accomplishments

    RESEARCH AND DEVELOPMENT

  • Over 12 published peer-reviewed papers, 8 as main author, since 2020.
  • Two US patents since 2020.
  • AGROVIEW

  • Winner, ASABE AE50 2021
  • Finalist, 2020 Cade Prize
  • 2020 Innovation of the Year, University of Florida
  • 1st Runner Up, 2020 Aerospace & Technology Competition, FVF
  • Member of the NVIDIA Applied Research Accelerator Program at the Community level
Skills
  • Programming languages: Python, C/C++, C#, Matlab.
  • Robotics: Collaborative robotics (Kuka Iiwa), Industrial robotics (Kuka KR16), Automated Strawberry Harvester Systems.
  • AWS architecture and deployment.
  • FAA Licensed Drone Pilot.
  • CAD: Solid Works, SolidEdge, Inventor.
  • Languages: Portuguese (Native), English (Fluent), Spanish (Advanced).
Work History
Co-founder, Deep-learning Engineer, 06/2020 - Current
Air Liquide Freeport, TX,
  • Co-founded a technology startup for applying AI models to smart machines and software for agriculture.
  • Development and improvement of cloud-based (AWS) software for crop management [AGROVIEW - http://www.agroview.ai]
  • Winner of the ASABE AE50 2021.
  • Finalist of the 2020 Cade Prize.
  • 2020 Innovation of the Year, University of Florida.
  • 1st Runner Up, 2020 Aerospace & Technology Competition.
  • AGROVIEW: Member of the NVIDIA Applied Research Accelerator Program at the Community level
  • Development of the SmartSense system, a sensor fusion tool for smart tree sprayer machines with tree detection, health assessment, fruit count, yield prediction and disease detection using cameras, LiDAR, GPS and drone imagery.
Research Engineer, 12/2020 - Current
Children's National Medical Center Gaithersburg, MD,
  • Developing sensor fusion tools for machine and deep learning applications in autonomous and smart machines in agricultural fields.
  • Prototyping, testing and documentation of novel solutions to agriculture machines using machine and deep learning.
  • Drone imagery collection and processing for remote sensing applications.
  • Supervision of PhD students in AI modeling and machine prototyping.
  • Documentation of research through journal and conference papers in the field.
Graduate Research Assistant, 04/2019 - 12/2020
University Of Florida, Gainesville City, STATE,
  • Using Machine Learning and Deep Learning algorithms applied to Precision Agriculture.
  • Developing yield prediction models using regression algorithms and deep-learning.
  • Development of smart machines for precision application.
  • Applying computer vision algorithms for crop phenotyping and assessment.
  • Developing Cloud-based applications for Precision Agriculture.
Consultant of New Projects, 07/2017 - 02/2019
Freelancer City, STATE,
  • Project documentation for investors.
  • Market and competition analysis.
  • Projects in automation and robotics, including Smart Warehouses (HRC Metalização) and Auto-Guided Vehicles (Dell)
Education
Master of Science: Mechatronic Engineering, Expected in 12/2019
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University Of Sao Paulo - Sao Carlos, Brazil,
GPA:
Status -
  • Collaborated in the structuring of the Master's research project.
  • Developed a stereo vision object detection and pose estimation algorithm in Python based on the Point Pair Features algorithm.
  • Evaluated different hardwares and software for point cloud generation: stereo cameras (Kinect V2 and Bumblebee 2), algorithms for RGB cameras (SLAM and Structure from Motion).
  • Applying the stereo vision algorithm and interaction control as input for a robot manipulator to complete a contact task, with a Kalman filter to process both vision and force data.
  • Tutored three undergraduate students and two graduation projects (Evaluation of fiducial markers for position detection, Macro-micro system applied for tasks in confined spaces).
  • Collaborated in the structuring and submission of a industrial project involving computer vision and cloud computing.
  • CAPES scholarship.
Bachelor of Science: Mechanical Engineering, Expected in 12/2016
-
University Of Sao Paulo - Sao Carlos, Brazil,
GPA:
Status -

Graduation project: Design of a macro-micro robotic system for contact tasks.

  • Development of the communications between multiple robots in different platforms using C++ and C#.
  • Implemented a path planning and interaction control for a macro-micro system.
  • Published at the 24th International Congress of Mechanical Engineering (COBEM)

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Resume Overview

School Attended

  • University Of Sao Paulo
  • University Of Sao Paulo

Job Titles Held:

  • Co-founder, Deep-learning Engineer
  • Research Engineer
  • Graduate Research Assistant
  • Consultant of New Projects

Degrees

  • Master of Science
  • Bachelor of Science

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