🎓 Computer Science Student @ Pace University (Class of Dec 2026 | GPA: 3.66) 💼 Software Engineer | AI Research Assistant | Full Stack Developer | Teaching Assistant 🌐 LinkedIn • GitHub • 📫 jameschamilton070605@gmail.com
I’m a Computer Science student at Pace University passionate about developing scalable, secure, and AI-integrated software. My experience spans backend systems, full-stack web applications, automated workflows, and Data-as-a-Service (DaaS) platforms.
Currently, I’m part of the AI Code Automation Research Team at Pace University, analyzing how large language models like ChatGPT, DeepSeek, and Gemini handle end-to-end software development. Alongside research, I serve as a Teaching Assistant, mentoring students through core programming and implementation concepts.
In the industry, I’m a Founding Software Engineer at Lunar Phase, where I’ve built and deployed a production web platform using Next.js, Express, and MongoDB, backed by AWS, Docker, and NGINX. I am actively building mobile-responsive full-stack platforms using modern stacks with a strong focus on secure, token-based authentication and performant backend architectures.
I’ve also worked as a Software Engineer Intern at BZ Marketing, where I optimized CRM tools and AI-based marketing workflows, and as a Coding Instructor at The Coder School.
Languages: TypeScript, Go, C#, Python, Java, JavaScript, SQL, HTML, CSS, Bash/Shell
Frontend: React.js, Next.js, Redux, Figma
Backend: Node.js, Bun, Express.js, Deno, .NET, Django
Databases: PostgreSQL, Supabase, MongoDB, MySQL, Redis
Cloud & DevOps: Docker, AWS (EC2, S3, Route 53), NGINX, Azure, CI/CD, Linux
Tools & Concepts: Git, Postman, ETL Pipelines, Data Scraping, Microservices, Regex, Agile
AI & Research: LLM Code Automation, Static Analysis, Performance Benchmarking, Semantic Caching
🔬 AI Research Assistant – LLM Code Automation Pace University, Seidenberg School of CSIS | Apr 2025 – Present - Evaluated ChatGPT, DeepSeek, Gemini, and GitHub Copilot for end-to-end code generation tasks.
- Analyzed logic, memory, and security failures in generated code (e.g., authentication logic and input validation).
- Assessed code quality using static analysis tools, linters, and unit testing frameworks.
🎓 Teaching Assistant – Programming & Implementation Pace University | 2025 – Present - Support faculty in teaching core computer science fundamentals and object-oriented programming.
- Review and debug student code, reinforcing scalable design patterns and best practices.
🌙 Software Engineer (Founding Team) – Lunar Phase Remote | Feb 2025 – Present - Built and deployed a full-stack web app using Next.js, Express, Redis, and MongoDB.
- Configured AWS infrastructure with Docker, NGINX, EC2, and Route 53 to reduce deployment times and optimize latency.
- Implemented secure REST APIs, token-based auth, and SMTP-based email verification.
💼 Software Engineer Intern – BZ Marketing Brooklyn, NY | May 2024 – Sept 2024 - Designed and launched a new React.js landing page, improving Lighthouse SEO scores from 71 to 88 and increasing client conversions by 30%.
- Integrated an AI-driven ad campaign system using OpenAI and Django.
- Optimized CRM performance using Redis TTL caching and PostgreSQL, cutting page load times from 2.4s to 0.9s.
👨🏫 Coding Instructor – The Coder School New York, NY | May 2024 – Present - Delivered 100+ hours of instruction in Python, JavaScript, HTML/CSS, and C#.
- Mentored 20+ students through the end-to-end development of full-stack projects.
- Architected a hybrid Go and Python ETL pipeline to extract and normalize unstructured property data from Zillow and municipal records (MapPLUTO, ACRIS).
- Built a serverless Next.js frontend powered by a custom Node.js backend for the frontend (BFF) to manage API routing, protect environment variables, and securely stream data.
- Developed a B2B marketplace API designed to facilitate the exchange of industrial waste materials.
- Engineered the core matching engine, utilizing an OpenAI API integration to intelligently parse material descriptions and connect buyers with relevant sellers.
🚆 Commuter App Design Challenge (MTA & NJ Transit Finalist) Tech: Golang, Kotlin/Swift, Microsoft Azure
- Collaborated with developers and UI designers to build a scalable mobile app addressing cross-system commuter pain points.
- Architected core backend features using Golang with RESTful APIs, implementing offline caching and secure Azure database integration.
- Built dynamic React dashboards and optimized Express API queries, reducing response times by 35%.
- Designed scalable MongoDB data models and implemented strict role-based access control to isolate organizer and attendee data.
- Technical Lead, Software Engineering Club — Pace University (2024–Present) - Guardian Life Job Shadowing — April 2025 - Women in Tech Member — Since 2023 ---
- Architecting scalable, strongly-typed enterprise REST APIs using C# and .NET.
- Mastering Linux environments, Bash scripting, and container orchestration for robust cloud deployments.
- Exploring medical ethics frameworks, with a specific academic research focus on mental health resource priority.
- Advanced LLM integrations, focusing on Model Context Protocol (MCP) and agentic workflows.
I’m currently seeking full-stack and backend engineering roles starting January 2027. I'm always open to discussing opportunities, collaborations, or AI research.
Feel free to reach out or explore my GitHub!