CHRIS SMYTH

+1-972-***-**** ad34pe@r.postjobfree.com linkedin.com/in/chris-smyth

SUMMARY

AI Engineering Lead with deep roots in Data Science and a pioneering role in Generative AI and NLP, I bring a blend of hands-on development expertise and strategic leadership. My background encompasses the full lifecycle of AI system development—from data analysis to model deployment—allowing me to solve complex challenges and mentor teams in cutting-edge technologies. Skilled in leading global, cross-functional teams, I elevate their expertise to become proficient in Generative AI and NLP. My ability to navigate both technical intricacies and project demands ensures robust progression and innovation under tight constraints. SKILLS

Technical: Natural Language Processing (NLP), AI, Python, RAG, LangChain, AWS, Docker, SQL, Business Analytics, Pytorch, MySQL, Tensorflow, Pandas, NumPy, Data Structures & Algorithms, Deep Learning, Machine Learning, C/C++, C# Other: Leadership, Agile, Project Management, Cross-Functional Team Collaboration, Technical Documentation PROFESSIONAL EXPERIENCE

Consultant Remote

AI Engineering and AI Education Consultant November 2023 - Present

• Developed an AI-driven system for creating customized textbook examples tailored to student interests, inspired by Intelligent Query Expansion (IQE) principles and presented to Cengage and McGraw Hill. This system leverages Retrieval-Augmented Generation (RAG) and caching to improve efficiency. Designed to enhance LLM performance and prepare datasets for specialized LLM training to facilitate scalable content creation and customization.

• Spearheading the creation of a groundbreaking ancestor life story generation tool. This project aims to transform audio transcripts into enriched, structured narratives, faithfully preserving the style of expression of the ancestor. Named Entity Recognition (NER) is utilized for deep cross-referencing of stories, people, and places within the system to amplify the richness of personal and historical narratives.

• Utilized my in-development AI-driven course creation system to develop and launch 'GitHub Copilot with Python: Creating Text Games' on Coursera. This innovative system enhances course organization, authoring, and presentation, leveraging AI to streamline content development and ensure quality. OnChain Studios Remote

Generative AI Engineer / Team Lead May 2021 - November 2023

• Assumed the role of AI Team Lead, proactively filling the leadership gap in AI initiatives and spearheading the strategic development of NLP and AI projects. Managed a diverse team of developers and conversation designers, advocating for the practical application of AI technologies like LLMs and prompt engineering. This involved hands-on training and presentations to internal teams and to significant partners, including Mattel.

• Designed and implemented a pioneering personality-based chat system using IQE principles, RAG, and OpenAI LLMs, enhancing user engagement with dynamic prompts from chat history and scripted content for improved character memory and contextual awareness. This system allows designers unparalleled flexibility in shaping character responses. Led the DevOps strategy, overseeing AWS deployment to ensure a scalable, reliable infrastructure with robust CI/CD practices.

• Led the development and conceptualization of an advanced content filter, specifically designed to safeguard Generative AI interactions for children. Utilizing LLMs and comprehensive text analysis, it effectively addresses complex language issues like homophones and LEET speak, ensuring a child-safe digital environment. The system stands out for its ability to intuitively interpret administrative goals, providing a layer of intuitive detection beyond user-defined rules. UDRI Remote

Data Scientist March 2019 - May 2021

• Spearheaded NLP solutions requiring security clearance for the Air Force, employing symbolic AI, microservices architecture, and the CLingo solver, guided by Cognitive Science PhDs and NLP experts. Enhanced speech recognition using Kaldi and Pocketsphinx across multiple languages, significantly improving linguistic analysis and application performance.

• Developed and optimized NLP and speech recognition methodologies through rigorous statistical analysis and machine learning techniques, focusing on data manipulation, intent recognition, and feature extraction, achieving breakthroughs in voice recognition applications.

• Pioneered a dynamic approach to speech dataset enhancement, leveraging signal convolution and frequency alterations to overcome data limitations. This work led to the creation of comprehensive, multilingual transcription datasets and the practical implementation of AI models in IoT voice recognition, setting new standards for accuracy and user engagement. EDUCATION

University of Dayton January 2020 - April 2021

Master's, Business Analytics GPA: 3.7

DeVry University October 1994 - October 1997

Bachelor's, Electrical Engineering GPA: 3.8