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Skills

  • Research support
  • Image segmentation methods
  • Industry certifications guidance
  • Online teaching
  • Business operations
  • Supervision
  • Capstone project mentoring
  • Facial recognition implementation
  • AI research alignment within curriculum
  • Lesson planning

Work Experiences

  • Contributed to 13 published papers.
  • Completed workflow optimization research as part of a 13-person graduate team.
  • Authored in-depth documentation to support students taking on complex vision-related problem-solving tasks, reducing time to complete assignments by 34%.
  • Assisted in large-scale image annotation projects.
  • Planned, implemented, and integrated system-oriented projects that were updated.
  • Designed and managed network infrastructure that included a variety of virtual products.
  • Assisted students with small image datasets.
  • Assisted students with deep learning models.
  • Applied image clustering methods.
  • Assisted faculty in the category department with clerical needs by preparing class materials, collecting assignments, stocking supplies, and other support tasks.

Summaries

  • Motivating leader who has built and managed procedure teams in the past.
  • Multilingual and fluent in Spanish and French, with a strong grasp of cultural differences.
  • Communicative and team-oriented, with Asana expertise.
  • Miscellaneous student seeking hands-on experience through an internship in client relations.
  • Knowledge of Workday in depth, as well as process improvement and project management abilities.
  • Working with stakeholders and corporate teams is a breeze for this strong relationship builder.
  • Assistant Instructor, Computer Vision with workflow optimization and client relations abilities.
  • Accomplished instructor demonstrating expertise in autonomous vehicle vision systems, successfully mentoring 11 students to secure industry-relevant internships and career placements.
  • Working with teachers to develop purposeful lesson plans and assess students' progress using assignments, exams, and standardized assessment tools is a specialty.
  • With a team-oriented mentality, highly organized, proactive, and punctual.

Accomplishments

  • Mentored 18 students in industry-recognized certification exams for reinforcement learning and computer vision, achieving a 84% pass rate.
  • Developed and implemented Python-based Computer Vision modules, improving student exam performance by 19% through hands-on project work.
  • Introduced online assessment modules for computer vision topics, resulting in 26% improvement in student preparation and first-attempt exam scores.
  • Coordinated and managed a successful object recognition hackathon where 10 student teams prototyped solutions, securing 18 in corporate sponsorships.
  • Guided the implementation of automated grading systems for machine learning assignments, reducing grade processing time by 75% and increasing transparency.
  • Designed student-specific reinforcement learning bootcamps with tailored feedback sessions, achieving an overall student satisfaction score of 56%
  • Advised on final year projects involving autonomous image processing systems, leading to 35% of top-graded papers in the department.
  • Provided personalized tutoring sessions on convolutional neural networks, leading 22% of students to achieve certifications in HubSpot.
  • Implemented strategies to improve student feedback processes, increasing student satisfaction and course relevance by 38%.
  • Spearheaded discussions on the ethical implications of AI, positively impacting 8 students' course projects to include responsible machine learning practices.

Affiliations

  • Member, National Association of Artificial Intelligence Educators (NAIIE), contributing to the development of AI curriculum standards for teaching staff.
  • Certified Tutor, Professional Development in Applied AI by Google, providing specialized instruction on using Python for computer vision applications.
  • Regional Lead, PyTorch Hackathon 2015, coordinating a team-based competition that focused on boat detection visual tasks during a disaster scenario.
  • Fellow, International Institute of Electrical & Electronics Engineers (IEEE) Visual Communications and Image Processing Team, contributing to the ongoing research into low-latency image transfer methods.
  • Advisor, Student Robotics and Computer Vision Club, guiding students toward building fully autonomous robotic vision systems for competitions.
  • Faculty Mentor, AI and Deep Learning Research in Education Initiatives, overseeing research projects focused on practical applications of image recognition.
  • Instructor, OpenAI Developers Group for SAP, aiding learners in implementing reinforcement learning for real-world image recognition challenges.
  • Affiliated Member, International Society for Optical Engineering (SPIE), with active participation in educational initiatives related to image reconstruction and enhancement.
  • Guest Speaker, Global Deep Learning Summit, facilitating discussions surrounding effective classroom techniques for teaching object detection algorithms.
  • Participant, Microsoft AI Bootcamp for Educators, collaborating with other instructors to enhance deep learning teaching models for computer vision in K-12 education.

Certifications

  • Certificate in Computer Vision for Beginners to Advanced 2017 – Udemy
  • Professional Certificate in Machine Learning & Artificial Intelligence – MIT
  • Certified PyTorch Developer 2016 – Facebook AI
  • CS231n: Convolutional Neural Networks for Visual Recognition 2021 – Stanford Online
  • Certified Instructor for Deep Learning Models 2016 – Northwind
  • American Academy of Financial Management (AAFM)
  • Certification in Neural Networks and Computer Vision 2022 – Edureka
  • Cisco Certified Internetwork Expert (CCIE)
  • Computer Vision Nanodegree – Udacity
  • Association for Project Management (APM)

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