My journey into software engineering began with a simple fascination: how can technology solve problems that matter? Today, as a Computer Science graduate from the University of Florida, I'm living that curiosity through my current role at Quiet Professionals, where I'm developing AI-powered solutions that transform how users interact with data and make predictions.
From building an AI-powered chatbot that enables natural language queries on map data to developing machine learning models that predict employee attrition, I'm constantly exploring the intersection of artificial intelligence and practical applications. My previous experience at BNB Calc, a 7 figure ARR PropTech startup, further honed my skills—architecting data pipelines processing 20,000+ Zillow listings daily and developing AI-powered image editors with Stable Diffusion.
Whether I'm optimizing TypeScript algorithms for performance, building React Native apps that users love, or creating intelligent systems that learn from data, I approach every project with the same philosophy: technology should empower, not complicate. That's what gets me excited about the endless possibilities in software engineering.
Key Achievements
- Built a TypeScript/Node.js pipeline ingesting Zillow listings, powering real-time market dashboards with high uptime
- Developed an AI-powered Airbnb image editor using React Native and Stable Diffusion Inpainting API for improved listing appeal
- Created an OCR mobile app extracting receipt data with fast processing and high accuracy, streamlining manual entry
- Implemented comprehensive QA across numerous financial scenarios, preventing critical defects and potential losses
Work Experience
Quiet Proffessionals
Junior Software Engineering Intern
- Developing an AI powered chatbot using OpenAI's API that allows users to query data on a map using natural language.
- Assisted in developing new solutions on existing products to improve user experience and functionality.
- Created a new prediction model using machine learning to predict employee attrition and retention.
BNB Calc
Software Engineering Intern
- Built a TypeScript/Node.js pipeline ingesting Zillow listings, powering real-time market dashboards with high uptime
- Developed an AI-powered Airbnb image editor using React Native and Stable Diffusion Inpainting API for improved listing appeal
- Implemented comprehensive QA across numerous financial scenarios, preventing critical defects and ensuring platform reliability
Education
University of Florida
Bachelor of Science in Computer Science
Technical Skills
Languages
TypeScript/JavaScript, Python, C++, Java, SQL
Frameworks & Libraries
React, Next.js, React Native, Flask, Node.js, Express
AI & Machine Learning
GPT-4o, Stable Diffusion, OCR pipelines, Tesseract, OpenAI, Machine Learning
Tools & Platforms
Docker, Git/GitHub, Firebase, MongoDB, FastAPI, Expo
Current Focus
Natural Language AI Interfaces
Building AI-powered chatbots that enable users to query complex map data using natural language, making geospatial information more accessible and intuitive through conversational interfaces powered by OpenAI's API.
Predictive Analytics & Machine Learning
Developing machine learning models to predict employee attrition and retention, enabling data-driven HR decisions and helping organizations optimize their workforce planning strategies.