Current Working Projects
A showcase of my current CS and engineering projects, from AI-powered valuation models to physical builds that combine technical skills with creative problem-solving.
CS Projects
Yacht AVM Demo
Yacht Automatic Valuation ML Model
Using machine learning (inspired by CS540 AI foundations) to demonstrate yacht appraisal based on features like size, age, and market data. This demonstration interface shows the technical implementation and user experience, trained on publicly available yacht listings for demo purposes only.
Built with Python, scikit-learn, and pandas for data processing. It showcases real-time ML prediction capabilities. The interface demonstrates professional-grade yacht valuation system architecture. Note: Uses non-proprietary data for demonstration only.
Drawing Interface
Draw a Rocket! Collaborative Web App
A playful, collaborative web app where users sketch rockets, receive instant ML feedback on how "rocket-like" their drawings are, and watch approved rockets soar through a shared animated sky. Features include a complete drawing interface with multiple colors, undo/redo functionality, and intelligent rocket detection algorithms.
Deal Analysis UI
Competitor & "Lookalike" Deal Analyzer
Multi-factor competitive intelligence platform that finds "lookalike" companies using advanced similarity algorithms. Analyzes industry overlap, funding stages, investor networks, geographic proximity, and company scale to identify investment opportunities, acquisition targets, and competitive threats.
Anti-Hype Dashboard
VC "Anti-Hype" Contrarian Discovery Engine
🚧 Currently in Development: Scans for undervalued startups by analyzing sentiment, funding data, and contrarian signals. Built on Spark from CS544 for big data handling, focusing on global markets to uncover hidden gems.
The engine will identify companies that may be flying under the radar due to market timing, geographic location, or sector rotation, providing opportunities for contrarian investors.
Engineering Projects
Custom Brick Pizza Oven Build
Custom brick oven for the best pizza ever. I love pizza so I decided to build an authentic pizza oven. It seemed straightforward at first, but turned out overly complex with material science twists.
Technical Specifications:
- Temperature: Up to 900°F for perfect pizzas
- Base: 6-inch thick perlite layer mixed with refractory cement (5:1 ratio)
- Floor & Dome: Firebricks sourced from Craigslist, bonded with refractory mortar
- Insulation: Fireblanket exterior for heat retention
Engineering Concepts Applied:
- Thermal Mass: Perlite's low thermal conductivity for insulation
- Heat Resistance: Firebricks withstand direct flame without cracking
- Heat Circulation: Dome shape optimizes convection patterns
Pizza Oven Build Photos
High Temperature Build: Click any photo to view it in full size. These photos showcase the custom brick construction and thermal engineering that allows the oven to reach 900°F for authentic pizza making.
Screened-in Porch Construction
My mom always wanted one, but it was always too expensive, so I told her I'd build one for cheap. Researched many engineering plans online, then customized the design for our space.
Structural Engineering:
- Load-bearing calculations: Designed to withstand tornado-level winds
- Materials: Pressure-treated pine for rot resistance
- Foundation: Cement footings with rebar reinforcement
- Roof: metal roof
Key Engineering Principles:
- Cross bracing: For structural integrity and wind resistance
- Wind load simulations: Calculated for extreme weather conditions
- Proper joist spacing: Optimized beam sizing for stability
- Sustainable sourcing: Cost-effective material selection
Engineering Goal: "If the house went down, the porch would still stand!"
Construction Progress Photos
📸 Panoramic View
🖱️ Scroll horizontally to explore the full panoramic view
Timeline: Click any photo to view it in full size. Photos document the entire construction process from foundation to completion.
Project Philosophy
My projects span both digital and physical domains, each teaching unique lessons about problem-solving, engineering principles, and real-world application. Whether I'm building ML models to evaluate yacht markets or constructing heat-resistant pizza ovens, I approach each challenge with the same systematic thinking learned from my CS coursework.
The intersection of software and hardware engineering fascinates me. From optimizing algorithms for big data processing to calculating thermal dynamics for proper insulation. These hands-on experiences complement my academic foundation and prepare me for complex technical challenges in any domain.