About
Hey! I'm an graduate machine learning scientist studying at the University of Central Florida, and I usually geek out over computer science projects and hackathons when I have free time away from my research. I am currently a Software Engineer at CAE USA, working on industry-level solutions for various players in the DoD space. In my free-time, I like to tinker with various software and hardware technologies hoping to stumble upon inspiration for my next big creation.
Full-Stack Developer & Researcher
Throughout my years of education, I have had my hands in just about anything I could find. 3D modeling, UI/UX, app dev, web dev, hardware, software, and machine learning. More than just my thirst for knowledge, I have been looking for a problem to solve; something that will make a lasting impact and that I can pour my passion and experience into.
Think I can help? Please reach out!
Skills
Projects
Since I love keeping updated on my skills and hobbies, I am usually working on many projects. Below is some of my best work.
Goop Dashboard
PhantoMouse
Deep System Identification
Resume
Passionate and problem-driven multi-paradigm developer with 6+ years of experience creating solutions for various industries and clients from initial concept to final, polished deliverable.
Professional Experience
Application Software Engineer
CAE USA
2022 - Present
- Granted Secret Clearance
- Designed the development of a comprehensive mockup in Figma, integrating a versatile component library, wireframes, and dynamic theming for a sophisticated Angular dashboard.
- Developed a Multi-System Health Monitoring Dashboard in Angular with a C# backend that scraped metrics using Prometheus
- Created a C++ application and library that concurrently managed receiving, decoding, and sending standardized, serialized messages to support communication between collaborating simulation software.
- Improved and maintained an Electron app that performed rasterization on drone imagery to create 3D models using ODM to enhance tactical knowledge of field environments.
Modeling and Simulation Co-op
CAE USA
2021 - 2022
- Developed Q-Learning Model that leveraged sensory and communication information to make decisions regarding tasks on enemy detection
- Integrated the Distributed Interactive Simulation (DIS) interface in python, MATLAB, and other DoD related software to work towards a dynamic and intelligent adaptive kill-web
- Decoded of Link16 Signal Protocol Data Units (PDUs) to facilitate centralized decision-making on multiple CGFs
- Contributed to a Human-Machine Teaming project focused on multi-domain operations, measuring trust in complex AI-driven synthetic teammates to enhance mission performance.
Undergraduate Researcher
Unmanned Autonomous Systems (UAS) Lab
2020 - 2021
- Implemented MATLAB algorithms to simulate autonomous UAV formation for asset protection and enemy tracking using proprietary Advanced Framework for Simulation, Integration and Modeling (AFSIM) Software.
- Optimized runtimes in certain scenarios by offloading computations and scripts to MATLAB and Python.
- Implemented adaptive tracking assignment using multiple factors natively in AFSIM
- Developed dynamic UAV priority-based reallocation with nearest neighbors in AFSIM
- Implemented Markhov Decision Processes to allocate tasks to UAVs
Undergraduate Researcher & Full-Stack Developer
STIR Lab
2019 - 2020
- Developed Android app for a HCI PhD study that collected user data with an AWS backend using Cognito, S3, Lambda, and Gateway
- Developed companion Angular Dashboard which interacted with app users to aid in study management and reward disbursement
- Integrated Qualtrics API with Android and iOS mobile apps
Big Data Intern
NLP Logix
2017
- Led a team of three people to create a presentation that analyzed crime in Jacksonville
- Analyzed causes of violent crime rates by zip code and census tracts
- Utilized SQL, Java, Tableau, and R Studio to understand Jacksonville Sheriff's Office (JSO) data and form evidence-based conclusions
Education
Masters in computer Science, Machine Learning
2022 - Present
University of Central Florida, Orlando, FL
Deep System Identification
Implemented a novel approach for state estimation in unknown nonlinear systems with noisy dynamics, leveraging deep neural networks and the extended Kalman filter, addressing limitations of the Kalman filter, and validated through numerical experiments on a specified class of nonlinear systems.
Knights Raas
Creative Director for a Indian cultural dance team that performed nationally
Relevant Coursework
- Artificial Intelligence
- Computer Vision
- Machine Learning
- Natural Language Processing
- Algorithms in String Analysis
- Augmented Reality Engineering
- Network Optimization
Bachelor's of Science in Computer Engineering
2018 - Present
University of Central Florida, Orlando, FL
Institute of Electronics and Electrical Engineers (IEEE)
- Programming Lead on a competitive robot using a combination of Arduino and Raspberry Pi to perform a task involving color detection and ball retrieval.
- Developed competitive robot using an arduino to press various buttons lit up in a stochastic pattern
- Managed account and expenses to send 10 students to Southeastcon 2021
- Aided in organizing IEEE Fall Conference with the Orlando Section, hosted at UCF.
Knight Vertax
Led school multicultural yoyo team managing a team of six people, organizing tricks, costumes, and music for various performances around Jacksonville.
Relevant Coursework
- Artificial Intelligence
- Computer Vision
- Machine Learning
- Operating Systems
- Digital Systems
- Computer Architecture
- Software Engineering
- Linear Circuits
- Digital Design
- Enterprise Computing
International Baccalaureate
2014 - 2018
Stanton College Preparatory High School
SCP Summer Bridge
- Led two-week Summer Bridge program which introduced incoming freshman to the rigors of college prep culture.
- Designed program from inital stages to the finale
- hand-picked volunteers with rigorous interviews to aid in various parts of event
- successfully coordinated over 300 students and 170 volunteers
Science National Honor Society
Developed an Android app to connect tutors with tutees to help students maintain honor society membership. This used Google authentication as the user base and employed Google Firebase to organize the users and the request submissions real-time.
Blog
Sometimes I have organized thoughts, sometimes I just like writing
Recent Posts