Full-stack and AI consultant.

- Worked in a team of 6 students to develop a data-labelling web application for sketch to photo image similarity.- Developed functional specification, backend documentation to organize and speed up the delivery.- Prototyped frontend design via Figma and implemented web app using ReactJS/Flask.- Helped organize and plan development via standups / Jira task allocation.Voted 2nd / 20 group projects in Cambridge for "Most professional delivery"

- Developed an AI-art generation platform focusing on AI for historical art education.- Developed, marketed and sold-out NFT collection.

Analyzed and extended the Javascript codebase for "Netron"- a neural network visualizer - to take in files of a new format (TOSA format).Developed Git skills and ability to manage, collaborate on and debug larger codebases

- Developed “Tagomo” - an NLP application that uses Active Learning to enable rapid labelling and exploration of unlabelled data.- Made a video demo and demoed the product in meetings with potential clients.

- Developed a software pipeline for bacterial colony counting that takes in raw environmental data images and applies image processing techniques to count bacterial colonies to a high level of accuracy. Coded in Python.

- Project leader for designing a hypothetical experiment. Presented to CERN Engineers and Physicists.- Performed data analysis of particle collisions using Python.

Prototyped a promotional website for the company using HTML, JavaScript and CSS.

- Researched a variety of machine learning algorithms (e.g. regression, Neural Networks etc.) for predicting bond prices.- Used python data analytics modules (Pandas, Numpy, Scikit-learn etc.) to analyze time-series data and output a variety of statistical measures and visualizations.