My Projects
Eco Pet Guide | AI-Powered Affiliate Marketing Platform
Made with:
- AI Content Generation: Google Gemini 1.5 Flash integration for automated article creation (800-1500 words) with intelligent content classification and SEO optimization
- Computer Vision & Image Generation: Stable Diffusion integration for automated product image generation with custom negative prompting and intelligent library management
- FastAPI Microservices Architecture: 25+ RESTful endpoints with real-time analytics, A/B testing framework, and comprehensive admin dashboard
- ML-Driven Marketing Automation: Intelligent offer selection algorithm with click tracking, conversion analytics, and automated affiliate link placement
- Automated Content Pipeline: Jinja2 template system with scheduled content generation, weekly reporting, and dynamic HTML generation
- Scale & Impact: 50+ auto-generated articles, 1000+ AI images, comprehensive click tracking with UTM parameters, and conversion optimization
- Database & Analytics: SQLite/PostgreSQL backend with automated migration, real-time performance monitoring, and data-driven optimization recommendations
- Admin Console: Beautiful web interface for content management, route creation, analytics visualization, and automated workflow orchestration
Admin Portal Screenshots
Explore the admin dashboard interface for managing affiliate links, analytics, and content generation.
AI-Powered n8n Workflow Generator | RAG-Based Automation Platform
Made with:
- Retrieval-Augmented Generation (RAG): Implemented ChromaDB vector database with Sentence-Transformers to process 500+ real-world workflow templates for intelligent semantic retrieval and pattern adaptation
- AI-Powered Workflow Generation: OpenAI GPT-4 integration with custom prompt engineering generates production-ready n8n automations with 20-35+ nodes, complete with error handling and credential management
- Next.js Full-Stack Architecture: Built with Next.js 14 (App Router), TypeScript, React 19, Tailwind CSS, and shadcn/ui for modern, responsive user experience
- Interactive Workflow Visualization: Real-time workflow preview using ReactFlow with Monaco code editor integration and Zustand state management for seamless user interactions
- FastAPI Backend Services: Modular Python architecture with 8-stage validation pipeline, quality scoring system (100-point scale), and automatic parameter injection
- Conversational AI Interface: Multi-turn dialogue system with intelligent question flow, context management, and dynamic workflow refinement based on user requirements
- Impact & Performance: Reduced workflow configuration time by 75% (30+ min → 5-10 min), improved production-readiness from 10% to 75%+, and achieved 85%+ error handling coverage
MindCare | Mental Health App Developer
Made with:
- Comprehensive mental health companion app with Flutter/Dart frontend and Node.js/Express backend
- AI-powered chat support using OpenAI GPT-4 for 24/7 mental health assistance
- Daily mood tracking with visual analytics, streak tracking, and MongoDB data persistence
- Secure user authentication with JWT, profile management, and file upload capabilities
Fit Journey | Mobile Developer
Made with:
- Workout-streak tracking, in-app notes, daily status updates (Flutter/Dart)
- RESTful sync with Node.js/Express back end (−30% sync errors)
- Scrum team collaboration: sprint planning, stand-ups, code reviews
- Automated build/deploy pipelines with GitHub & TestFlight
Roblox Games | Developer & Scripter
Made with:
- Dynamic adventure games with Lua scripting & GUIs
- Multi-level challenges, in-game monetization, player animations
- 2 million+ visitors, 7K+ active user base via analytics-driven marketing
WaveLink | API Developer
Made with:
- Collaborative team project with project manager, 2 API developers, front-end designer, and backend designer
- Built full-stack web application with React frontend and Node.js/Express backend
- Developed RESTful APIs with MongoDB and MySQL database integration
- Managed project workflow and sprint planning using Jira for agile development
UDXChatBot | Universal Orlando Flutter Mobile App
Made with:
- Cross-platform mobile app for Universal Orlando Resort with intelligent ride recommendations and real-time wait times
- AI-powered chatbot assistant using ML algorithms for smart park navigation and ride suggestions, featuring multiple personality options for personalized interactions
- Interactive Google Maps integration with custom markers, GPS tracking, and walking directions between attractions
- Flask backend with RESTful APIs, real-time data integration from queue-times.com, and session memory tracking
Stock Investment Analyzer | AI-Powered Insider Trading Tracker
Made with:
- Web scraping with Selenium automation to extract insider trading data from OpenInsider.com, combined with technical indicators (RSI, MACD, Bollinger Bands) and fundamental metrics.
- AI-powered news sentiment analysis using ChatGPT API to evaluate company-specific news, market conditions, and risk factors for intelligent investment scoring.
- Multi-factor recommendation engine that weights insider activity (30%), technical/fundamental analysis (40%), and news sentiment (30%) for data-driven investment decisions.
- Interactive Plotly visualizations in Flask web interface with real-time progress tracking, dynamic financial charts, and comprehensive stock reports with confidence levels.
Stride | Gemiknights 2025 Hackathon Project
Made with:
- AI-powered running form analysis using MediaPipe computer vision to analyze uploaded videos and provide detailed biomechanical feedback on limb angles, overstriding, and knee tracking.
- Cross-platform Flutter mobile app with premium UI incorporating custom AI coach creation through Gemini API integration for personalized coaching avatars and feedback delivery.
- FastAPI backend with OpenCV processing pipeline that extracts joint angles, calculates limb scores, and translates biomechanical data into actionable natural language coaching advice.
- Gamified motivation system with customizable "Knight Coach" personas that provide elite-level coaching expertise accessible to anyone, anywhere, for free.
AI-Driven TikTok Content Automation | n8n Workflow & AI Developer
Made with:
- n8n orchestration integrating Blotato API for AI-generated video creation and TikTok API publishing with automated workflow management.
- OpenAI GPT-4o for dynamic script generation, AI narration, and optimized captions & hashtags tailored for maximum engagement and reach.
- Cron-triggered scheduling system for daily, personalized AI-driven content delivery ensuring consistent posting and audience engagement.
- Impact: 300+ followers, 10,000+ likes, and 100,000+ interactions demonstrating successful AI automation and content optimization strategies.
AI Clip Factory | AI Automation Developer
Made with:
- Developed "AI Clip Factory" n8n workflow to transform long‑form videos into unlimited short‑form clips. The pipeline retrieves long‑form content from Google Sheets, triggers analysis via an external API, generates short videos and schedules posts across YouTube, TikTok, Instagram and LinkedIn.
- Added AI‑generated backgrounds for anime and Star Wars‑themed TikTok pages and built autopost schedules, boosting engagement.
- Created Telegram‑triggered ad‑video pipeline to generate and post ad images and videos; integrated animated logo insertion, multi‑video/asset support and long‑video generation.
- Launched automated YouTube sleep channel, combining AI‑generated visuals and audio to produce daily long‑form relaxation content.
- Built generative tools for character/background/outfit combinations, music creation, Apify‑powered data extraction and integrated ChatGPT into the Multi‑Channel Platform (MCP) to tailor ad creator agents to specific brands; improved ad video quality using Airtable asset management.
Shipping Notification Automation | Logistics Workflow Developer
Made with:
- Designed and implemented an n8n workflow to automate shipping‑notification routing. The system downloads purchase‑order spreadsheets from Google Drive, merges line‑level and order‑level data, and uses GPT‑4 to classify whether the customer or vendor should receive tracking emails.
- Established consistency rules so orders shipping to the same address receive the same decision, and mapped AI outputs (decision, confidence, reason) into structured fields.
- Added conditional logic to divert uncertain or low‑confidence classifications for human review, aggregated records into a daily summary table, and generated HTML and plain‑text email summaries.
- Connected Gmail to automatically notify customers or vendors and deliver daily review reports, saving hours of manual triage and improving communication accuracy.
LinkedIn Content Automation | Personal Brand Builder
Made with:
- Built an n8n workflow that reads weekly articles from the Greater Good Science Center RSS feed, filters posts from the last seven days and compiles article metadata with custom JavaScript.
- Used GPT‑4 to write a single roundup post in Brett Rosenberg's voice that summarizes key ideas, includes a hook, bullet‑point takeaways, reflective commentary and hashtags, and lists sources.
- Scheduled the workflow to run every week at a specified time and integrated with LinkedIn to publish the post automatically, maintaining consistent engagement without manual drafting.
Restaurant AI Promo Website | Client Project
Made with:
- Prototyped a front‑end web interface for a restaurant promotion project, integrating AI‑generated food photography and video ads from n8n workflows. The workflow uploads base64‑encoded images to the Kie AI API, generates premium, professionally styled food shots and retrieves the final images.
- Designed the front end to display dynamic galleries of AI‑enhanced dishes and integrated webhook endpoints to trigger new image and video generation based on user input.
- Planned integration of "rep‑guard" features to monitor reviews and automate responses using natural‑language models.
AI Prompt Engineering & Workflow Automation | Video Game Content Generator
Made with:
- Developed multi‑agent prompt pipelines in n8n for AI image creation. The "Style Agent" randomly selects an artistic style from a curated list and outputs JSON describing the mood, environment, composition and explicit metadata (character placement, size, facing, dimensionality, art profile).
- Implemented a "Character Agent" that chooses characters from a predefined inclusion list and outputs their names, origins, clothing descriptions and color schemes.
- Combined outputs via a "Final Prompt Agent" to generate cinematic scene prompts with specific framing, lighting and high‑resolution specs, producing ready‑to‑render images for video‑game posts.
- Scheduled the workflow to run periodically and uploaded generated prompts and assets to external services and Google Sheets for tracking.
- Wrote custom JavaScript and prompt templates to integrate with LLMs such as GPT‑4 and Claude, ensuring structured JSON output and robust error handling.
Experience
June 2025 - December 2025
Mobile Developer Intern
Universal Orlando Resort
- Delivered the AI‑105 triage system to address a ~60% reroute rate in mobile support tickets, enabling accurate classifications, routing decisions and escalation summaries via MCP‑based service routing.
- Defined a unified Flutter middleware API design using OpenCode and the enterprise AI Gateway (OpenRouter) to increase architectural consistency across mobile and backend systems.
- Produced functional Flutter prototypes supporting structured text/image inputs with real‑time analysis output, accelerating pilot readiness.
- Enhanced automation maturity by creating n8n workflows (consistent‑character/background generation and sentiment analysis) and secured external validation of the AI‑105 design through technical review with Microsoft consultants.
June 28, 2025
Gemiknights Hackathon Participant
University of Central Florida
Click here to see the Stride project from this hackathon
June 2025 - August 2025
Digital Product Ownership Intern
Universal Destinations & Experiences
- Drove end-to-end product lifecycle for data-driven features across Universal Parks & Resorts.
- Defined functional and non-functional requirements, user stories, and ETL processes; participated in Agile ceremonies (sprint planning, stand-ups, retrospectives).
- Gained hands-on exposure to SQL, ETL pipelines, and R programming for data products.
Aug 2024 – May 2025
Teaching Assistant, Concepts in Computer Science
University of Central Florida
- Supported 700+ students in mastering Python programming, data structures, algorithms, and object-oriented design.
- Evaluated and graded assignments, projects, labs, and exams; provided detailed feedback to strengthen coding and problem-solving skills.
May 2024 – May 2025
Machine learning published research author & AACE 2025 Co-Author
University of Central Florida
- Apply machine-learning techniques (regression, decision trees, XGBoost) in Python/VS Code to analyze 10,000+ patient records and predict severity and duration of hypoglycemic events in Type 1 Diabetes.
- Perform feature engineering, hyperparameter tuning, and model evaluation to optimize predictive accuracy.
- Presented findings to AdventHealth executive leadership, informing strategic decisions in diabetes care.
- Published research paper: Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients
- Conference poster presentation: AACE 2025 Poster Co-Author
Apr 2024 – May 2025
COMPASS Program Mentor
University of Central Florida
- Mentor 40+ undecided freshmen on selecting a STEM major, with emphasis on computer science career pathways (software engineering, AI, data science).
- Organize and coordinate social & networking events for 100+ incoming STEM students, fostering community and early professional connections.
May 2023 – Aug 2023
Computer Science Intern
Pediatrix Medical Group
- Co-developed Python scripts for BabySteps Cloud in a test-driven development workflow (VS Code), reducing post-deployment bugs and managing code via GitHub.
- Containerized applications using Docker and audited 10,000+ outdated emails with SQL & Linux scripts.
- Resolved 50+ ServiceNow support tickets, improving system efficiency and end-user satisfaction.
My Skills
Backend
Frontend
AI and Machine Learning
DevOps
Tools
Digital Technology
Practices
My Education
2022–2026
University of Central Florida
Bachelor of Science in Computer Science, GPA 3.8 (Dean's List)
- Campus Involvement: HACK@UCF, Tennis Club, EXCEL, COMPASS
- Relevant Coursework: Discrete Math, Systems Software, Data Structures
Aug 2018 – Jun 2022
Marjory Stoneman Douglas High School
High School Diploma
- Varsity Tennis (3 yrs), National Honor Society, DECA
- Skills: Computer Literacy, QuickBooks, Microsoft Office