Moshe Simon
Machine Learning Engineer looking to improve the world with the help of AI.
About
As a recent First Class Honours M.Eng graduate in Electronic and Electrical Engineering from UCL, I am now looking to pursue a career in Machine Learning & AI. My academic journey, conducting advanced research in the field of Deep Reinforcement Learning, and hands-on experiences in leading AI projects at Innovate AI Labs, has fuelled my passion for applying AI to real-world challenges. I am eager to leverage my skills in Machine Learning and Software Development to help build innovative solutions.
Work Experience
Innovate AI Labs
Founder & CEO
• Automated the compliance checking process at a employment training company, resulting in a 80% human time reduction.
• Built a RAG based post similarity feature for a mental health social messaging platform, increasing user engagement by 35%.
• Built a quotation comparison feature for a construction material procurement company using state-of-the-art Document AI models.
• Built a documentation query system for a decentralised AI company using RAG and open source LLMs.
• Built a tenant facing chatbot using LLMs for a propery management company.
• Built an LLM powered cold email writer for a sales agency that was able to scraped news and info about the prospect company.
• Built a web scraper to scrape hotel and hotel room information for a online bookings company.
MakeMyDay
Psymplicity
Machine Learning Engineer
Goldman Sachs
Software Engineer Intern - Virtual Experience
Digital Clay
JP Morgan Chase
Software Engineer Intern - Virtual Experience
Education
University College London
Grade: First Class Honours
Awards: Most Outstanding MEng Project, Class of 2023
Interests
Projects
University Research Project - Deep Reinforcement Learning
Researched the application of Deep RL in Elastic Optical Networks to help with routing and spectrum allocation using Deep Mind's Atari games algorithm to solve an arcade game representation of the RSA problem. My research was presented at the OFC Conference 2023 by my supervisor, Dr Beghelli, and published in their Conference paper.
Server Hosted Oracle Chatbot Project
Developed and implemented an Oracle chatbot utilizing machine learning for time series forecasting of stock market price. The chatbot was deployed on a server and featured a client interface for interaction via the terminal.
Stock Price Prediction Machine Learning Project
Predicted the future price of Apple stock by analyzing historical stock data and sentiment analysis of tweets from 75 news accounts. Involving data cleaning, transformation, and exploration, as well as training a model to make predictions based on the acquired data.
Image Classification Machine Learning Project
Explored and compared multiple machine learning approaches to solve binary and multi class classification tasks on cartoon images.
Cancer Detection Machine Learning Project
Built a ML model based on EfficientNet2 to detect breast cancer in Mammography scans.
Natural Language Processing Project
Fine-tuned a Machine Translation model on a low resource language and beat existing benchmarks.