Tom Bomer

Background

About Tom Bomer

Data Scientist with over two years of experience at Firemind, an AWS consultancy specialising in Generative AI. Proficient in developing AI-driven solutions to automate processes and solve complex business problems. Skilled in GenAI, machine learning, and AWS services, with a track record of delivering projects under tight deadlines and effectively communicating technical concepts to diverse stakeholders. Sole or secondary Data Scientist on multiple Generative AI Proof of Concepts, developing end-to-end solutions from backend pipelines to API integration- Implemented a Retrieval Augmented Generation (RAG) application for an insurance company, enabling efficient querying of vast datasets- Developed an LLM-based football match preview generator, reducing the cost of preview generation- Created an automated email reply system for a solar panel distributor, significantly reducing response times- Built a government policy update detection system for a payroll company, ensuring legal compliance- Designed a tailored advertisement generation system for websites and newsletters- Automated football match commentary generation with accurate in-game statistics- Developed the generation of insightful reports for guest feedback data for a holiday village company, saving employees time from manually trawling through data. Engineered advanced machine learning and data infrastructure solutions- Developed an energy usage minimisation model for a food production line using XGBoost and Support Vector Machines- Created a CV scoring model to streamline job application processes- Built out a backend for an intelligent document processing pipeline- Created a robust data transformation pipeline for enterprise-level data- Optimised routes for a waste-management service using Amazon Location Service and Google OR-Tools. Contributed to company growth and knowledge sharing- R&D in GraphRAG and agentic AI- Authored technical blog posts about Large Language Models and their applications- Spoke at industry events to promote Firemind’s brand and expertise- Presented work to colleagues and clients, effectively communicating complex technical concepts- Programming: Python (proficient), JavaScript, SQL - GenAI and Machine Learning: LLMs (esp. Anthropic’s Claude models), Prompt Engineering, RAG, Agents - AWS Services: Bedrock, SageMaker, Lambda, API Gateway, DynamoDB, S3, CloudWatch, StepFunctions, Cognito, Kendra, Polly, Transcribe, Comprehend - Data Processing: Pandas, data build tool (dbt)- DevOps: Git, Terraform (basic)