Technical Areas of Expertise
Where research meets implementation
My work spans multiple domains within computer science, from fundamental research in human-AI teaming to practical applications in cybersecurity and full-stack development. Each area builds on a foundation of rigorous research methodology and hands-on technical implementation.
Human-AI Teaming & Autonomous Systems
Pioneering research at the intersection of human cognition and artificial intelligence
Research Focus
- Trust Calibration: Understanding how humans develop and maintain appropriate levels of trust in AI agents
- Training Interventions: Designing effective methods to improve human-AI team performance in high-stakes environments
- Autonomous Vessel Operations: Contributing to NATO research on intelligent maritime systems and navigation
- Cognitive Ergonomics: Optimizing interfaces and interactions between humans and autonomous agents
Technical Skills
- Machine Learning: TensorFlow, PyTorch, scikit-learn
- Natural Language Processing (NLP) for human-agent communication
- Reinforcement Learning for autonomous decision-making
- Human-Computer Interaction (HCI) evaluation methods
- Statistical analysis and experimental design (R, Python)
- Agent-based modeling and simulation
Key Insight
"The future of AI isn't about replacing humans—it's about amplifying human capabilities through thoughtful collaboration. My research focuses on designing systems where humans and AI complement each other's strengths."
Cybersecurity & Privacy-Preserving Technologies
Building secure systems that protect user privacy while enabling advanced functionality
Core Competencies
- Secure System Design: Architecture patterns for defense-in-depth and zero-trust models
- Cryptography: Implementation of encryption protocols and secure data transmission
- Privacy-First Development: Differential privacy, federated learning, and encrypted data analysis
- Vulnerability Assessment: Threat modeling and security audits of AI systems and IoT devices
- Authentication & Authorization: OAuth, JWT, multi-factor authentication systems
Research Experience
TigerSec Laboratory (2025-Present)
- Exploring security challenges in autonomous systems
- Conducting vulnerability assessments for IoT devices
- Developing secure communication protocols
- Researching privacy-preserving machine learning methods
Tools & Technologies
- Penetration Testing: Metasploit, Burp Suite, Nmap
- Cryptography: OpenSSL, PyCrypto
- Network Security: Wireshark, Snort
- Cloud Security: AWS IAM, Security Groups, KMS
Philosophy
"Privacy and security aren't features—they're fundamental human rights. Every system I build prioritizes user protection without sacrificing functionality or user experience."
Data Science & Machine Learning
Transforming data into actionable insights and intelligent systems
Machine Learning
- Deep Learning: CNNs, RNNs, Transformers for image and text analysis
- Computer Vision: Image classification, object detection (98.9% accuracy on Chagas disease detection)
- NLP: Sentiment analysis, misinformation detection, text generation
- Model Optimization: Hyperparameter tuning, transfer learning, ensemble methods
Data Engineering
- Data Pipelines: ETL processes, data cleaning and preprocessing
- Big Data: Handling large-scale datasets, distributed computing
- Database Design: SQL and NoSQL optimization, data modeling
- Cloud Infrastructure: AWS (S3, Lambda, SageMaker), serverless architectures
Analytics & Visualization
- Statistical Analysis: Hypothesis testing, regression, time series analysis
- Data Visualization: Matplotlib, Seaborn, Plotly, D3.js, Tableau
- Reporting: Jupyter notebooks, R Markdown, automated dashboards
- A/B Testing: Experimental design and causal inference
Notable Projects
COVID-19 Misinformation Detection
Machine learning system to identify false information on social media. Published at AAAI 2021. Achieved 87% accuracy using ensemble methods and NLP.
Chagas Disease Diagnosis
Deep learning model for detecting tropical disease from microscopy images. 98.9% accuracy, published in international medical journal 2025.
Full-Stack Web Development
Building elegant, performant, and accessible web applications
Frontend Development
- Core: HTML5, CSS3, JavaScript (ES6+), TypeScript
- Frameworks: React, Next.js, Vue.js
- Styling: Sass/SCSS, Tailwind CSS, styled-components
- State Management: Redux, Context API, Zustand
- Build Tools: Webpack, Vite, Babel
- Testing: Jest, React Testing Library, Cypress
Backend Development
- Node.js: Express.js, NestJS, Socket.io
- Python: Flask, Django, FastAPI
- APIs: RESTful design, GraphQL, WebSockets
- Authentication: JWT, OAuth 2.0, Passport.js
- Databases: PostgreSQL, MongoDB, Redis, Firebase
- ORM/ODM: Prisma, Sequelize, Mongoose
DevOps & Deployment
- Cloud Platforms: AWS, Vercel, Netlify, Heroku
- Containerization: Docker, Docker Compose
- CI/CD: GitHub Actions, GitLab CI, Jenkins
- Version Control: Git, GitHub, GitLab
- Monitoring: Sentry, LogRocket, Google Analytics
- Performance: Lighthouse optimization, CDN configuration
Featured Web Projects
FLARESat Dashboard
Real-time satellite monitoring platform with React, D3.js visualization, and AWS backend. NASA Space Apps Winner 2025.
Interactive Portfolio
This website! Custom-built with vanilla JS, CSS variables for theming, and responsive design. Features terminal emulator and smooth animations.
Makerspace Website
Maintained cumaker.space with React, managing equipment reservations, workshop registration, and user tutorials for 1000+ students.
Design Philosophy
"Great web development isn't just about code—it's about creating experiences that are accessible, performant, and delightful for every user. I prioritize semantic HTML, WCAG compliance, and mobile-first responsive design in every project."
Cross-Domain Integration
What makes my work unique is the intersection of these domains
AI + Web Development
Creating intelligent web applications that leverage machine learning models through APIs, real-time data processing, and interactive visualizations. Examples include satellite monitoring dashboards and misinformation detection tools.
Security + Privacy + AI
Designing AI systems with security and privacy baked in from the start. Work includes encrypted model inference, differential privacy in training data, and secure multi-party computation for collaborative AI.
Ready to Collaborate?
Whether you need AI research, secure system design, or full-stack development—let's build something amazing together.
Get in Touch