AI/ML Systems Engineer
Specializing in robotics, computer vision, and human-robot interaction.
About Me
I'm pursuing a B.S. in Artificial Intelligence with a Minor in Neuroscience at Purdue University Indianapolis (Expected Graduation: October 2025). My fascination lies at the intersection of artificial intelligence and human cognition – understanding how intelligent systems can interact with and learn from humans.
Currently serving as an REU Intern at the University of Wyoming, I've developed machine learning control algorithms for real-time robotic imitation, enhancing system responsiveness by 40% using ROS, PyTorch, and OpenCV. My work integrates MonoDepth2 algorithms to generate real-time depth maps from single RGB cameras, enabling robots to perceive and mimic human motion with high spatial accuracy.
Professional Experience
REU Intern
University of Wyoming | June 2024 – Current
- • Developed machine learning control algorithms for real-time robotic imitation, enhancing system responsiveness by 40%
- • Engineered modular and scalable human-robot interaction system using ROS, PyTorch, and OpenCV
- • Integrated MonoDepth2 algorithms to generate real-time depth maps from single RGB camera
Lead Developer
Idea Garden, IUPUI | January 2021 – Current
- • Conducted comprehensive IT system audit and implemented new data security protocol, improving security by 15%
- • Managed project timelines for team of 3 developers using Agile methodologies, improving efficiency by 20%
iOS Software Research Assistant (AR)
IUPUI | May 2022 – August 2022
- • Developed "Nano Vision" AR application in Unity and C#, increasing user engagement by 25%
- • Collaborated with multidisciplinary team using Xcode for iOS deployment and ARKit
- • Designed "Accessibility Mode" for inclusive STEM education access
NSF REU Research Intern
IUPUI | May 2020 – August 2020
- • Developed graph neural network model with OpenCV that replicated Van Gogh's art style with 30% improved accuracy
- • Delivered style-transfer application adopted by university's research team for digital art creation
- • Presented research at National LSAMP Conference and Indiana University Research Poster Symposium
Featured Projects
Malicious PDF Detection (GCP)
Engineered neural network on Google Cloud Platform to classify malicious PDFs from vast dataset, achieving 97% classification accuracy.
Van Gogh Style Transfer
Developed graph neural network with OpenCV that replicated Van Gogh's art style with 30% improved accuracy over baseline models.
Electric Motorcycle Model
Engineered functional 1:4 scale E-motorcycle with custom powertrain and battery management system designed in Shapr3D.
Nano Vision AR App
Developed AR application in Unity and C# for nanoscience education, increasing user engagement by 25% with accessibility features.
Robotic Imitation System
Real-time ML control algorithms using ROS, PyTorch, and OpenCV with MonoDepth2 integration for 40% enhanced responsiveness.
IT Security Audit
Comprehensive system audit and data security protocol implementation, improving storage security by 15%.
Education
Purdue University Indianapolis
Bachelor of Science in Artificial Intelligence
Minor in Neuroscience
Expected Graduation: October 2025
Ivy Tech Community College
Associate of Science in Engineering
Graduated: May 2020
Leadership Experience
Robotics Club Mentor
Purdue University Indianapolis
Mentored a team of 15 students through design, programming, and testing phases for VEX Robotics competitions. Provided strategic guidance that led the team to a Top 5 finish at regional competition.
Technical Expertise
Programming Languages
- • Python
- • Java
- • JavaScript
- • C++
- • C#
- • MATLAB
- • R
AI/Machine Learning
- • PyTorch
- • OpenCV
- • Scikit-learn
- • Computer Vision
- • NLP
- • Neural Networks
- • Supervised Learning
Frameworks & Technologies
- • ROS (Robot Operating System)
- • Unity
- • ARKit
- • Google Cloud Platform
- • Docker
Developer Tools
- • Git
- • Xcode
- • AutoCAD
- • Shapr3D
- • Visual Studio