Welcome to my portfolio!
With a background in neuroscience, I bring a deep curiosity about how things work to software engineering and web development. Combining my education with an interest in artificial intelligence, I’m passionate about implementing models in web applications that mimic the complexities of the human mind. These experiences have instilled in me a methodical approach to understanding and solving complex problems.
My retail management experience has honed my leadership and problem-solving skills, which I now bring to tech, combining my ability to manage teams with this approach to software development.
Below are the major technologies, frameworks, libraries, and tools I am proficient with in developing full-stack web applications.
As AI models evolve at an unprecedented pace, I’m excited to make them more accessible and impactful by integrating them into intuitive, meaningful experiences for everyone.
Keep scrolling to see a selection of full-stack web applications I've built with modern frameworks and APIs, showcasing my passion for intuitive UX, scalable backend systems, robust database design, and real-world problem solving.
Full-stack AI-powered journaling application with Python-Flask backend and Javascript-React frontend. Custom LLM assistant implemented via OpenAI API SDK. Lightweight state management with Zustand.js. Robust PostgreSQL database via SQLAlchemy ORM. Efficient styling with Tailwind.css. Sole contributor.
Integrated Chat-GPT assistant can be granted access to user data to analyze trends, provide support, and give constructive feedback.
Journal entries stored with automatic sentiment analysis to observe trends in mood over time
Entries integrated with weather data, lunar phase, and any responses from the intelligent assistant.
Set associated goals while creating entries
Goals can be set independently, or they can be associated with entries.
Once a goal has been completed, an associated milestone is created to recognize progress. Milestones can also be created independently.
Sentiment tracking calendar visualizes entry sentiment over time. Profile photos and entry uploads via AWS coming soon!
Components utilize Redux, providing smooth and scalable state management
Hero section and Calls to Action motivate new users to explore new features and join the app
Search stock information, discover investments through the stock-ticker or 'Discover Investments' section, see watchlists, and navigate to Porfolio, Watchlist, and Stock pages.
Leveraged the DeepSeek-compatible OpenAI SDK to integrate an AI assistant to serve dynamic investment insights.
Implemented easy stock search functionality and discovery components
Users can add stocks to multiple watchlists
Stocks can be sold from the portfolios page, and are visible in the portfolio and profile pages
Profile can be customized, portfolios are visible, and funds can be added to user's account.
View all listings with location, price, and average rating.
Dynamic updating of ratings and reviews!
Reviews will be visible to all users
I'm passionate about building beautiful, thoughtful digital experiences. I love combining creativity with technical depth to solve meaningful problems—especially with AI, data, and design.
I’m always open to new opportunities, collaborations, or just a chat. Send an email, connect on LinkedIn, check out my GitHub, or download a copy of my resume below:
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