- 👀 I am an expert at making AI applications, AI models, and Deep Learning algorithms, Software Development, and Cloud Engineering.
- 🌱 I’m currently a second-year student at Luther College pursuing CS
- 📫 Reach out to me on LinkedIn
- Python: Primary language for data analysis, automation & ML (chatbots, games, data tools).
- JavaScript/TypeScript: Web development with React, Bulma, Bootstrap; built interactive SPAs and a Netflix-style trailer site.
- Java: OOP fundamentals via projects like a Java-based calculator app.
- HTML/CSS: Responsive, modern web layouts; portfolios and UI components with CSS frameworks.
- SQL & Shell: SQLite/PostgreSQL for web apps; shell scripts for DevOps tasks (Docker entrypoints, automation).
- Multi-Cloud: AWS, Azure, GCP familiarity via coursework & certifications.
- CI/CD & DevOps: GitHub workflows, Docker, Docker Compose for containerization and consistent deployments.
- Hosting & Deployment: Netlify for frontends; cloud resource configuration for production apps.
- Networking & Security: RESTful APIs, HTTP/WebSockets;
.gitignore
best practices; basic cloud security.
- Frameworks: TensorFlow/Keras, PyTorch, scikit-learn; Pandas/NumPy for data wrangling; Matplotlib for viz.
- Deep Learning Projects: CNN-based animal image classifier; GPT-2 fine-tuning for NLP tasks.
- AI Text Detection: Full-stack app to distinguish AI vs. human writing using hybrid NLP+DL models.
- Data Science: Feature engineering, model evaluation; dual CS & Data Science major foundation.
- Research: Explored deepfakes (real-time face swap), large language models, cutting-edge AI.
- Databases: PostgreSQL in production; SQLite in development; Django ORM integration.
- API Integration: Built apps consuming RESTful APIs (jokes, music); JSON/XML handling.
- Networking: Local servers, socket programming, bot frameworks (WhatsApp auto-replier).
- OS & Security: Windows & Unix CLI proficiency; secure credential handling; container security.
- Project Management: Git collaboration; self-management as a first-generation scholar balancing dual majors.
- Backend: Django (REST framework), Flask, Node.js/Express.
- Frontend: React.js, Bootstrap, Bulma; responsive design & state management.
- Data & ML: Pandas, NumPy, scikit-learn, TensorFlow/Keras, PyTorch, Matplotlib.
- DevOps: Git, Docker, Docker Compose; pip, npm; Conda/venv.
- Utilities: Selenium, Puppeteer; PyCharm, VS Code; GitHub Actions, Netlify.
- AI Text Detector: Detects AI-generated vs. human text in real time with confidence scores.
- Animal Image Classifier: Django + CNN model to identify 20+ species; Dockerized for easy deploy.
- Music Searcher: Python desktop app that fetches albums & plays songs via public APIs.
- Data Collector Tool: GUI for gathering company data into CSV outputs.