Multi-Agent AI Systems
- Orchestrated AI agents using LangGraph
- Hierarchical and swarm-based architectures
- Built for scale with memory and context
constcoder={name:'TheOxfordDeveloper',skills:['Python', 'Flask', 'AWS', 'HTML', 'CSS', 'JS', 'Numpy', 'OpenCV', 'Matlab'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
About me
I'm Chloe, founder of The Oxford Developer — helping founders in the B2B data and AI space get to production when they need to move fast, with one technical partner instead of five.
If you've just raised a round, have customers waiting, or need to hit an investor milestone, I take you from prototype to production-ready without the cost or coordination of a full dev team.
My work spans fullstack web development, multi-agent AI architectures, generative AI chatbots, document processing pipelines, and structuring complex unstructured data. Backed by training in cybersecurity and AI governance, I build secure, responsible solutions that actually ship — currently delivering for clients across fintech, edtech, and data analytics.
I hold an integrated masters in Earth Sciences from the University of Oxford and LangGraph certification, with a technical background spanning Python backend development, React frontends, and cloud infrastructure.
Services
AI Chatbots & RAG Systems
- Generative AI chatbots fine-tuned on your data
- Vector databases and semantic search
- Custom UI, easy integration
- 24/7 customer support without the headcount
Document Processing
- OCR pipelines (AWS Textract)
- Transform unstructured data into clean databases
- Reduce manual data entry by 90%+
Fullstack Web Development
- React frontends, Python backends
- Scalable cloud infrastructure (AWS)
- From prototype to production-ready
Skills
PROJECTS
Multi-Agent AI System for Financial Analysis
constproject={name:'Multi-Agent AI System for Financial Analysis',tools: ['Python', 'LangGraph', 'Pinecone', 'AWS', 'React],myRole:AI Systems Architect,Description: Architecting upgrade from single-agent to multi-agent AI system using LangGraph to accelerate M&A and investment analysis. Implementing vector database solutions and semantic search capabilities for financial document analysis. Building production-ready, secure AI systems handling sensitive financial data with robust error handling and validation.,};OCR Pipeline for Data Extraction
constproject={name:'OCR Pipeline for Data Extraction',tools: ['Python', 'AWS Textract', 'Regex],myRole:Backend Developer,Description: End-to-end OCR pipeline using AWS Textract to extract structured data from scanned horse racing textbooks. Built Python-based data parsing system using regex and pattern matching to transform unstructured text into structured databases. Automated data validation and quality assurance workflows, significantly reducing manual data entry time.,};Medical Device Software (OxVent)
constproject={name:'Medical Device Software (OxVent)',tools: ['Python', 'Embedded Systems],myRole:Lead Software Developer,Description: Architecting and developing core ventilator functionality code for award-winning medical device originally developed by Oxford and King's College London for UK Government's Ventilator Challenge. Designing user interface meeting strict UK MHRA regulatory standards for use in critical care settings.,};Generative AI Chatbot
constproject={name:'Generative AI Chatbot',tools: ['Python', 'JS', 'HTML', 'CSS', 'Flask', 'Heroku', 'Google Gemini API],myRole:Full Stack Developer,Description: Generative AI chatbot built with Python, Flask, and Google Gemini API. Deployed via Heroku. Designed to simulate human-like conversations, offering dynamic, context-aware interactions that adapt to individual user needs, streamlining customer support and improving engagement.,};Non-GenAI Support Bot
constproject={name:'Non-GenAI Support Bot',tools: ['Python', 'JS', 'HTML', 'CSS', 'Flask', 'Heroku],myRole:Full Stack Developer,Description: Retrieval-based support bot using Support Vector Machine and Cosine Similarity. Built with Python, Flask, and deployed via Heroku. Designed to answer common queries and reduce time spent on repetitive questions — demonstrating that not every problem needs generative AI.,};Background
2019 - 2023
Integrated Masters Degree - Earth Sciences
University of Oxford
2023 - present
Fullstack Developer
Equine Match, StratXcel, and OxVent
2023 - present
Independent Projects
GenAI & Non-GenAI chatbots, building websites, knowledge graph applications, building AWS applications
Blogs/Sample Project Code
8 months ago
1
OCR: Digitise Physical Text Documents with Ease
2 Min Read
Easily convert scanned or photographed documents into editable, machine-readable text using Optical...
8 months ago
0
1
Building and deploying a Non-Generative AI Support Chatbot with Flask
4 Min Read
Here are some images demoing the bot: Step 1: ask it a question Step 2: tell the bot whether...
8 months ago
1
Building a Headless URL Checker for Large-Scale Web Data Screening
3 Min Read
When dealing with massive datasets of URLs—especially in industries like sports analytics, finance,...
8 months ago
0
Parsing Unstructured Text Into Clean, Structured Data — A Regex-Powered Approach
2 Min Read
Transforming messy, human-readable text into clean, structured rows and columns is one of the most...
7 months ago
1
Building and deploying a Generative AI Support Chatbot with Flask and Google's Gemini API
5 Min Read
Example of what is being built: Introduction As a backend developer specialising in AI chatbots,...