Matthew Foertsch

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Senior Full Stack AI Engineer

Teal

Jun 2022 - Current (3 years 2 months)

• Led a cross-functional team of engineers and designers to build AI-powered career tools, aligning product vision with execution and accelerating delivery by 50%. • Built AI resume builder and job matcher using LLMs, LangChain, and pgvector—generated ATS-friendly resumes and instant matches, boosting engagement by 60% and reducing time-to-apply by 40%. • Developed a customizable resume platform with React, Next.js, Django, and FastAPI, enabling PDF export and live previews—improving user retention by 35% and cutting resume generation time by 50%. • Integrated GPT models via OpenAI, HuggingFace, and LangChain to provide real-time resume suggestions—enhanced quality scores by 45% and raised satisfaction by 30%. • Launched AutoBlogger, an SEO
AI Software Developer

Amazon

Mar 2017 - May 2022 (5 years 3 months)

• Led development of internal AI agents for document summarization, knowledge retrieval, and intelligent chatbot workflows—streamlined internal operations and reduced manual research effort. • Designed and deployed resume screening and job matching systems using BERT-based embeddings and vector search infrastructure—enhanced match quality and recruiter efficiency by 45%. • Architected scalable semantic search pipelines with FastAPI and custom vector indexing, reducing query latency by 50% for internal knowledge systems. • Developed document analysis workflows using TensorFlow-based classification models and BERT-powered Q&A systems—improved accuracy of structured data extraction from unstructured inputs by 40%. • Leveraged Vertex AI to trai

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Matthew Foertsch

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