Sep 2024 – Present · 1 yr 8 mos · London Area, United Kingdom · Remote

• Currently contracting for Syska Hennessy Group.
• Developed highly scalable chat bot, servicing hundreds of internal employees. Built on FastAPI, deployed in a docker container to a K8s cluster running on Azure.
• Full DevOps setup for rapid CI/CD operations. Using Azure Pipelines to automatically update pods on K8s cluster based off pushes to main on the repo.

Jan 2024 – Apr 2024 · 3 mos

• • Developing products for Syska's Innovations Program.

Apr 2023 – Oct 2023 · 6 mos

• Developed .NET Excel plugin and Azure Function to write weather data to a sheet.
• Using LangChain, developed Streamlit web app that uses LLMs to validate pdf submittals against a
• criterion.
• Created React frontend and Flask backend for web app that forecasts cooling expenses for data centers.

Apr 2024 – Sep 2024 · 5 mos · San Francisco, California, United States · Hybrid

• Wrote research paper on evaluating chunking algorithms for RAG. Reviewed by Chris Manning, director of Stanford AI Lab.
• Project received over 50k views on X.com.
• Developed ClusterSemanticChunker and LLMSemanticChunker which achieved the highest recall across our evaluation set.

Aug 2023 – Jan 2024 · 5 mos · San Francisco Bay Area · On-site

• Co-founded Project Chiron Inc. (C Corp, Delaware) as CTO; worked in San Francisco.
• Secured $47,000 from SF investors; discussed pre-seed with a16z. Networked with numerous investors.
• Developed Flask Python backend with Docker, hosted on GCP; auto-scaling with Cloud Run containers.
• Implemented DevOps: rapid development cycle with Cloud Build, GitHub triggers for automatic builds.
• Managed SQL server; optimized for 150,000+ rows of user data for efficient usage statistics algorithms.
• Implemented Redis cache for faster data delivery. Built Svelte frontend; integrated OpenAI API. Achieved 100 active users with average weekly usage of 80 hours. Implemented Stripe payment system.

Nov 2022 – Aug 2023 · 9 mos · Oxford, England, United Kingdom

• First authored paper on assessing bias in Vision Language models, specifically CLIP.
• Programmed K-NN algorithm to filter poor quality images from augmented dataset built from generative AI.
• Implemented various bias metrics and tested them on models.

Nov 2019 – Jul 2020 · 8 mos · Oxford, England, United Kingdom

• Assisted team in coding VR-experienced AIs.
• Developed an archery AI using TensorFlow and Deep Reinforcement Learning (DRL).
• Created an initial simple hide-and-seek AI, which was later expanded by the team.
• Utilized Unity3D with C# for AI simulation.
• Implemented the Proximal Policy Optimisation algorithm in DRL models.

May 2020 – Oct 2021 · 1 yr 5 mos

• • Programmed inventory management software on Unity3D using C# that connects with Amazon Web Service (AWS) SQL databases. It exported Excel financial documents for use in projects with Facebook.

Jul 2019 – May 2020 · 10 mos

• Created TensorFlow Deep Reinforcement Learning (DRL) agent for optimized pipe placement, enhancing hallway space. Project achieved 1,000+ LinkedIn likes and attracted new clients.
• Conceptualized and coded a program in Python using OpenCV for counting symbols in architectural
• blueprints. Further optimized it in C# for commercial release.