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Brooklyn, the founder of Top Edge Dev

OUR TEAM

MEET BROOKLYN

Full-stack software developer and data scientist with expertise in React, React Native, Node.js, and Python, building scalable, data-driven applications. Strong background in mathematics and data analytics supports advanced problem-solving, optimization, and machine learning. Experienced in designing responsive interfaces, integrating complex APIs, and deploying full-stack systems from concept to production.

Education & Certificates

Masters of Software Development

Utah Tech University

Relevant Coursework: Built AI-powered RAG systems using Ollama, ChatOpenAI, LangGraph, and vector embeddings. Implemented unit testing with Jest, API integration projects, and full-stack web-app prototypes. Developed web applications using a JavaScript, React, React Native, etc.

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Bachelors of Applied and Computational Mathematics

Minor in Computer Science and Emphasis in Data Analytics

Utah Tech University

Relevant Coursework: Designed and developed various web applications using Python, JavaScript, R, SQL/MySQL, Git, etc. Conducted research through mathematical modeling and simulations.

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Modeling and Simulation Certificate

Applied Statistics I and II Certificate

Data Analytics Certificate

Utah Tech University

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FEATURED WORK

Recent Projects

Designed and Developed by Brooklyn

Resume Radar

Resume Radar is an agent-based web application that helps job seekers strengthen their resumes, discover roles that match their experience, and plan career paths for the future. Using retrieval-augmented generation, semantic search, and a modern React front end, Resume Radar analyzes a user’s background, identifies gaps or opportunities, and provides personalized, actionable recommendations. The platform empowers users to understand their job fit, improve their qualifications, and make informed decisions about their career growth.

Technologies Used

Express.jsReactTailwind CSSMongoDBLangGraphOllamaLangChain OpenaiMulter
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Designed and Developed by Brooklyn

AI Health Assistant

This project provides a retrieval-augmented generation (RAG) agent API over a database of diseases and patient symptom statements. It uses vector embeddings generated by the qwen3-embedding model from Ollama and performs vector similarity searches in MongoDB to return the most relevant disease or symptom descriptions. The agent then post-processes these results, assesses seriousness, and can generate treatment plans or recommend nearby care.

Technologies Used

Node.jsExpress.jsOllama Qwen3 EmbeddingsLangChainBSONTailwind CSSReact
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Designed and Developed by Brooklyn

AI Domain Name Generator

An interactive front-end application that generates domain name suggestions using an LLM hosted on Ollama. The project uses a React front end, an Express back end, custom tools, the Domainr API for availability checks, and integrates with Ollama through a custom API. Now powered by LangGraph, enabling dynamic agent workflows and tool use.

Technologies Used

Node.jsExpress.jsOllamaLangGraphTailwind CSSReact
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Work Experience

Experience Building Real Products

Full-Stack Software Developer

Feb 2024 - Present

Top Edge Dev

As founder and lead software engineer of Top Edge Development, I design and build custom web and mobile applications using React, React Native, Next.js, Node.js, Express.js, SQL, and Firebase. I develop scalable RESTful APIs, integrate third-party services such as USPS and PayPal, and deliver secure, high-performance solutions for clients across multiple industries. I also lead project planning, manage small development teams, conduct code reviews, and work directly with clients to transform business goals into successful software products.

Software Engineer and Data Scientist

Jan 2023 - Feb 2024

beatBread

At beatBread, I developed secure data pipelines and backend systems that integrated APIs including Spotify and Chartmetric into the company's infrastructure. I designed and maintained RESTful API endpoints with robust security and advanced querying capabilities while contributing to machine learning initiatives that significantly improved business outcomes. Most notably, I built the Lite Model project, increasing lead generation by 4×, and collaborated across engineering and data science teams to optimize predictive models and data-driven decision making.

Data Scientist

Oct 2021 - Dec 2022

Zonos

As a Data Scientist at Zonos, I developed machine learning models and data processing pipelines to improve business intelligence and operational efficiency. Using Python, MySQL, and natural language processing techniques such as TF-IDF with Logistic Regression, I built predictive models for product classification while cleaning, validating, and transforming large datasets. I also optimized database queries and data validation processes, improving data reliability and performance for analytics and engineering teams.

Skills

Tools And Technologies I Work With

A balanced mix of front-end, back-end, data, and AI tooling for building modern applications that are fast, responsive, and easy to maintain.

ReactReact NativeNext.jsVue.jsNode.jsExpress.jsPythonTailwind CSSMongoDBSQLAWSFirebaseLangChainLangGraphOllamaAPI IntegrationData AnalysisMathematical ModelingResponsive DesignJest

Ready to build something great?

Let’s discuss your project and create a solution that drives real results.

Schedule a free consultation