Lid Vizion

Our Mission is to transform learning through the power of play.

Blend play with passion

We blend personal passions, careers goals, tech, and curriculum, to help learners grasp the WHY behind their studies.

Legacy of Inspiration

Inspired by the principles from generations of educators, we strive to cultivate critical thinkers, creatives, and instill a deep drive for leaders of tomorrow to achieve their aspirations.

Empowering Future Innovators

We are shaping learners by fostering a world where education is accessible, inclusive, and equitable for all.

Lid Vizion's Values are Grounded in Timeless Principles

Lead with Vizion

Leveraging Leadership, Innovation, and Dedication, we steer the future with a clear purpose, a pioneering spirit, unwavering resolve, and impactful solutions to set the standard for excellence.

Put Ethics First

Rooted in Value-driven ethics, Integrity, and Zeal, our actions are guided by a commitment to exceed expectations and inspire with passion and purpose.

Empower Cohesion

Championing Inclusivity, Openness, and Nurturing, we build a supportive environment where diverse perspectives thrive to empower our team and community to grow together.

Lid Vizion

Lid Vizion was founded by Shawn Wilborne and Lamar Giggetts to educate the next generation and build sustainable solutions.

Shawn Wilborne Esq., MSSB

Co-Founder & Business Lead/Data Engineer

Shawn brings a wealth of STEAM expertise to the table, with a strong background in both hardware and software development, underpinned by a Master's degree in Sustainable Business. He's adept in project management, utilizing tools like JIRA and Confluence, and demonstrated this during a 16-month research project at the Remade Institute with the University of Miami, delivering results on time and within budget. Shawn shines in customer discovery, employing Figma for impactful mock-ups and prototypes, and is skilled in database management and data pipeline creation, primarily through MongoDB, AWS, Azure, and other cloud platforms to maintain data accuracy and efficiency. Collaborating with Lamar, he fine-tunes database schemas for quick queries and large-scale operations, and is versed in AI for computer vision, from data collection to model training. He efficiently deploys applications on AWS, ensuring optimal performance and cost management. His launch skills span both public and private sectors, adeptly handling regulations and complex deals. In marketing, Shawn is proficient in creating materials with Canva, executing cold outreach, and using automation and scripting to boost efficiency. An effective presenter and negotiator, his extensive skill set adds tremendous value to tech-centric businesses.

Lamar Giggetts

Co-Founder & Chief Software Architect

Lamar Giggetts, is a distinguished software architect with advanced full-stack development skills, as demonstrated by his creation of the Lid Vizion Platform and the Mesoscale Mission Manager Tool for the National Weather Services. His commitment to application security is paramount, with a strong emphasis on encryption and the secure handling of data. Proficient in React.JS, Node.js, and Three.js, Lamar excels in forging groundbreaking solutions. He is also an expert in Tensorflow, where he adeptly handles computer vision training, light weighting models for efficient deployment, and the deployment process itself, ensuring applications are not only robust but also optimized for performance. Lamar is a strategic problem-solver who leverages the latest technologies and design patterns to enhance system performance. Within collaborative settings, Lamar sharpens project specifications and commands an extensive array of JavaScript technologies, including Angular and JQuery, as well as core web technologies like Java, HTML, CSS, and NoSQL databases such as Elasticsearch and MongoDB. His technical leadership is also evident in his proficiency with development tools and environments like Git, JIRA, and AWS services. He architects well-structured software systems, mentors interns, and adeptly handles server deployment on Amazon EC2. His development work with React-based widgets and data management using MongoDB, paired with efficient middleware creation via AWS Lambda, highlights his leadership in the evolving software development landscape. Lamar's multifaceted skills and his ability to lead complex projects make him a pivotal figure in any tech-driven endeavor.

Tareque Medhi

Head of Research

Dr. Mehdi is an education specialist, committed to advancing educational methodologies, teacher training, learning technologies, and the seamless integration of technology (and innovation management) within the education sector. With a clear foundation in educational science, he studied at the esteemed Institute of Education and Research (IER), University of Dhaka, earning his Bachelor of Education (B.Ed.) in 2012 in STEM Education, followed by a Master of Education (M.Ed.) in Pre-Primary and Primary Education in 2014. He then pursued his Ph.D. in Education in 2023 from George Mason University, Virginia to further solidify his expertise in the field. Dr. Mehdi is also a certified instructional designer. His extensive research experience, spanning over six years, provides a broad spectrum of methodologies including qualitative, quantitative, and mixed methods. This extensive research background and design capacity is underscored by his instrumental role in designing "The Graduate Prelude," the first online graduate orientation platform for the College of Education and Human Development (CEHD) at Mason. He also has significant experience in developing nations, including Bangladesh, Nepal, India, and Pakistan, where he has led and managed large-scale educational and cultural projects supported by significant grants. Dr. Mehdi's work intersects with key areas such as teacher education, educational technology, and international development, contributing significantly to the field through publications and presentations at renowned conferences. Furthermore, he has been instrumental in the editorial team for the Technological, Pedagogical, and Content Knowledge (TPACK) framework on Wikipedia, and served as an AI-Tech Policy Fellow at the Center for Advancing Human-Machine Partnership at Mason. Here, he played a pivotal role in a Department of Defense-funded project worth $1.38m, focusing on AI governance and its interdisciplinary implications, particularly in education. During COVID, he developed a specialized teacher education module on the Blackboard platform for the STEM+C Research Seed Grant project, under the guidance of Dr. Nancy Holincheck, to gather preliminary data supporting a proposal for National Science Foundation (NSF) funding. Additionally, he crafted and assisted in the design of an eCoaching module for the State of Virginia’s Dynamic Coaching Outreach Project (DCOP), supported by the Virginia Department of Education (VDOE). This project has significantly aided in-service teachers in completing internships and achieving a K-12 general curriculum license, with over 20 Fairfax County teachers successfully testing the module.

Internship Program

Lid Vizion champions transformative internship programs, empowering students with hands-on experience in real-world challenges, cutting-edge technology exposure, and comprehensive portfolio development to secure their dream jobs or excel in future academic pursuits. Find a few past program graduates listed below.

Jimeng Shi

Artificial Intelligence Intern

In the Artificial Intelligence Internship Program, I used YOLO-V4 for object detection, identifying paper and cardboard boxes with an impressive 93% mAP, which not only enhanced my technical skills but also highlighted the power of AI in addressing environmental issues. I'm grateful for this transformative experience and welcome any questions or further discussion about my journey.

Ravi Chandra

Data Engineer Intern

During my time in the Data Engineer Internship Program, I leveraged web scraping through Python to enhance data collection efficiency by 35% and developed a ChatGPT API-powered chatbot, automating workflows with a significant boost in operational efficiency. My work with MongoDB, not only halved processing times but also equipped me with advanced data management skills, setting a strong foundation for my future in data science and artificial intelligence.

Chidvilas (Sid) Tammireddy

Data Engineer

This internship is a gamechanger! I met lifelong friends and designed/optimized data pipelines in Python, improved data flow, worked on AI training and data management. This experience not only deepened my understanding of data systems and AI but also allowed me to contribute to an impactful project. The internship significantly helped my technical and professional development.

Kanishk Srivastava

Research Intern – Artificial Intelligence (Computer Vision and text recognition)

This internship program helped me build AI skills, including training a PyTorch model for HDPE object detection with a 91.4% accuracy using tools like AWS Sagemaker and YOLO v5. This program is invaluable for those looking to deploy AI models and use cutting-edge technology, setting a solid foundation for a successful career in the ever-evolving field of AI.

Elan Churavtsov

Research Intern – Artificial Intelligence/Computer Vision

Highly recommend! I enhanced my technical skills through configuring deep learning models and automating data labeling, alongside engaging in experiments to optimize workflows and spot discrepancies. This invaluable experience deepened my involvement in AI product development, from conceptualization to deployment, fostering my growth alongside seasoned professionals in crafting innovative solutions.

Asif Khan

Software Engineer Intern

This was an awesome experience! In my internship, I executed random queries on MongoDB to gather data on reused and recycled products for report generation and used React.js to create insightful charts on these products, aiding in the compilation of monthly survey reports. This work not only improved report accuracy but also enhanced my technical proficiency in database management and frontend development.

Danyang(Lily) Zhao

Data Scientist

In my Data Scientist internship, I developed a YOLOv4 model for identifying recycling materials, achieving 90% accuracy by training on a self-captured dataset and enhancing it through augmentation. I deployed this model on AWS, integrating it with our website's UI to enable users to easily verify recyclable materials, and I shared the model and data as open-source resources, documenting the entire process.

Kanishk Srivastava

Research Intern – Artificial Intelligence (Computer Vision and text recognition)

This internship program helped me build AI skills, including training a PyTorch model for HDPE object detection with a 91.4% accuracy using tools like AWS Sagemaker and YOLO v5. This program is invaluable for those looking to deploy AI models and use cutting-edge technology, setting a solid foundation for a successful career in the ever-evolving field of AI.

Arya Sharma

Data Science Intern

During my Data Science Internship, I refined data cleaning techniques and built efficient Python pipelines, alongside improving a Yolo v4 object detection model with data augmentation for greater accuracy. This experience bridged theory with practical challenges, equipping me with critical analytics and AI development skills for my future in data science.

Asif Khan

Software Engineer Intern

This was an awesome experience! In my internship, I executed random queries on MongoDB to gather data on reused and recycled products for report generation and used React.js to create insightful charts on these products, aiding in the compilation of monthly survey reports. This work not only improved report accuracy but also enhanced my technical proficiency in database management and frontend development.

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