About
Research Assistant
Specializing in AI/ML workflows for integration into new and existing software.
- Age: 26
- Phone: (407) 223-8011
- City: Orlando, FL
- Degree: Computer Science M.S.
- School: University of Central Florida
Highly self-driven engineer with a bevy of experience developing traditional, and AI-driven software solutions professionally and personally. My current expertise lies in full-stack development using the MERN stack. I am also well-versed in integrating both custom and pretrained ML models into software by using LangChain to leverage the capabilities of state-of-the-art models to perform NLP, vision, classification, and regression tasks. I am committed to continuous learning and growth while always seeking out new challenges and opportunities to expand my skill set.
Skills
I have experience with a variety of technologies and frameworks. Here are some of my key skills:
AI Engineering
RAG, NLP, Prompt Engineering, LangChain
Machine Learning
Deep Learning, Keras, PyTorch, Tensorflow, Scikit-learn
Web Development
React/React Native, Node.js, Express, APIs
Java
OOP, Enterprise Applications, Spring Boot
Data Science
Python, ETL, Geospatial Visualization
Automation
UFT, Azure Pipelines, Infrastructure Management
Resume
My goal is to continue challenging myself with new experience in order to grow my knowledge and expertise in various technology fields.
Summary
Kyle Shervington
- Orlando, FL
- (407) 223-8011
- kyle.shervington@gmail.com
Education
Master of Science in Computer Science
2024 - PRESENT
University of Central Florida | Orlando, FL
Courses focused on AI/ML, software engineering, and computer architecture
Bachelor of Science in Information Technology
2016 - 2021
University of Central Florida | Orlando, FL
Courses focused on software development, general IT and general business.
Professional Experience
Research Assistant (AI/Software Engineer)
2024 - PRESENT
University of Central Florida | Orlando, FL
- Used Python to build a pipeline which ingests image data and performs multi-modal data synchronization, instance segmentation, object detection, and classification using SAM2 and Detectron2 models.
- Conducted performance evaluation and experimentation to achieve a 7x faster execution time for geospatial data extraction.
- Presented technical digital twin research to interdisciplinary stakeholders at the 2024 IEEE SMC conference in Malaysia.
- Trained a deep learning model to classify images with over 92% accuracy, using a training dataset of over 1M images.
- Created Origin-Destination matrices, based on almost 500k data points, to support geospatial analysis of population flow
Freelance Software Developer
2022 - PRESENT
Self-employed
- Developed React Native app with NFC read-write functionality; compatible across iOS and Android.
- Developed React web tool to perform complex scientific calculations and reduce cancer research experiment time by ~2 hours/week.
- Designed drink calculator with simple and advanced views by pulling from constant and/or user-inputted data shared across views.
Web Developer
JUL 2023 - DEC 2023
Darden Restaurants | Orlando, FL
- Developed & designed frontend internal web portal, and modified existing Angular controllers, services and directives to ensure a successful production deployment for use by over 6,000 users from newly acquired company.
- Refactored existing React Native components code to eliminate 1 month delay on QA automation testing.
Test Automation Analyst
2021 - 2023
Darden Restaurants | Orlando, FL
- Established automated testing infrastructure in Azure DevOps by leveraging Git repositories for storage and version control, and CI/CD pipelines for script execution.
- Implemented binary search algorithms on relevant data to ensure retrieval with time complexity of O(logN).
- Enforced scripting standards by refactoring newly created scripts to maximize robustness and reduce average execution time by 30%
- Led and managed 8 offshore contractors in script development and testing prioritization for multiple projects.
- Performed administrative duties, such as upgrades, repairs and user managmement, on QA software and servers.
- Designed and prepared daily reports to summarize automated test execution results.
Test Automation Intern
2021
Darden Restaurants | Orlando, FL
- Wrote 6,000+ lines of new code to establish daily production testing of mobile apps and reduce manual testing time by more than 250 hours per year.
- Leveraged AI object recognition to ensure scripts were OS-agnostic between iOS and Android.
- Presented to leadership about project progress and benefit to business.
See GitHub for more
Testimonials
Contact
Location:
Orlando, FL
Email:
kyle.shervington@gmail.com
Call:
+1 407 223 8011