Principal NLP Engineer Data Scientist Conversational AI Engineer

Christopher William Huebner

Principal NLP Engineer Data Scientist Conversational AI Engineer

*********************@*****.*** +1-315-***-**** Springdale, United States linkedin.com/in/christopher-huebner-210781334

PROFILE

As a seasoned AI and NLP engineer with extensive experience in Data Engineering and backend development, I've adeptly utilized NLP technologies and data analysis solutions like Vertex AI, GPT, TensorFlow, and Python libraries (SpaCy, NLTK, Hugging Face) for driving healthcare solutions, patient profiling, and outcome prediction. Expert in designing AI engines, converting extensive text data into actionable knowledge graphs, fine-tuning LLMs such as GPT, LLaMA, and BERT, and deploying advanced chatbots with RAG technology. A robust background in backend engineering and proficency in managing data pipelines through Airflow and Kubeflow and deploying LLM models on Google Cloud Platform (GCP) for improved data analysis efficiency. SKILLS

ML & Data Science

Entity Classification, Sentiment Analysis, Predictive Analytics, Recommendation System, Image Recognition, PyTorch, TensorFlow, Scikit-learn, transformers, Numpy, XGBoost, MLFlow, Spark, Hadoop, Finetuning, LoRA, RLHF

Cloud & DevOps

GCP, AWS, Azure, GKE, EKS, Docker, Kubernetes, Terraform, Ansible, Jenkins, CI/CD Pipelines

Web Development

JavaScript, Django, FastAPI, React.js, D3.js, Node.js, Express.js, RESTful APIs, GraphQL

AI & ML Cloud Services

Amazon SageMaker, Amazon Bedrock, Google Vertex AI, Azure Cognitive AI

Natural Language Processing & Conversational AI

LLM, LLama, PaLM 2, GPT-4, OpenAI GPT, Claude AI, Google Gemini, BERT, RoBERTa, Bark, Whisper, Mixtral, LangChain, LLamaIndex, DsPy, Text Processing, Speech Recognition, Name Entity Recognition, Sentence Vectorization, Knowledge Graph Construction, Information Retrieval, RAG, LangGraph Frameworks & Tools

Kore.ai, IBM Watson, Amazon Alexa, Microsoft Bot Framework, Google DialogFlow, Twilio, Elevenlabs, Airflow, Kubeflow, Azure SQL, matplotlib, Seaborn, Plotly, Snowflake, Airbyte, Cortex AI

HealthCare Service

HIPPA Policy Consultant, HealthCare Data Regulation Service PROFESSIONAL EXPERIENCE

Mastermind Marketing, Inc, Lead NLP Backend Engineer Jan 2021 – Sep 2024 US(Remote)

•Orchestrated Docker and Kubernetes deployments of AI microservices on GCP(Google Kubernetes Engine), ensuring scalability, load balancing, and fault tolerance for seamless AI application deployment in healthcare.

•Enhanced backend architecture for healthcare chatbots by integrating Google Vertex AI and Meta's LLama 3 APIs using Python, streamlining workflows for better patient data analysis while meeting HIPPA regulations.

•Implemented streaming-mode chatbot applications with Django and FastAPI for Python backends, integrating with OpenAI API for enhanced functionality.

•Developed and fine-tuned chatbots with Google Dialogflow and Microsoft Bot Framework, leveraging Langchain and LlamaIndex to boost AI operations, achieving a 40% rise in engagement and faster query resolution.

•Led development of advanced machine learning models on Google Cloud, using Spark and SQL to build data pipelines that improved the accuracy of patient profiling and healthcare outcomes.

•Pioneered the design and implementation of conversational AI systems using ClaudeAI 3.5 Sonnet and enhanced speech technologies, achieving unprecedented interaction fluidity and reducing latency for superior healthcare user experiences.

•Led the design and implementation of a highly scalable backend system capable of managing 25,000+ requests per second, enhancing system efficiency and reliability.

•Leveraged Bark for nuanced text-to-speech and integrated OpenAIʼs Whisper for precise speech recognition using Python, enriching our Conversational AI's responsiveness and inclusivity.

•Enhanced our CRM and ERP systems by integrating chatbot services using RAG and Azure Bot Services, leading to improved data management, analytics, and operational efficiency.

•Transformed customer phone service by integrating Twilio's Voice API with ElevenLabs' AI for improved voice recognition and speech-to-text, enhancing system efficiency and significantly boosting customer satisfaction.

•Optimized RAG and Mistral 7B models with RLHF and LoRA, enhancing chatbot performance and response accuracy, significantly improving efficiency across healthcare departments. Clairvoyant, Senior AI NLP Engineer Data Scientist Aug 2018 – Nov 2020 US(Remote)

•Engineered machine learning models with Scikit-learn and TensorFlow for entity classification, significantly enhancing data accuracy and streamlining processes, thus boosting operational efficiency in marketing and sales projects.

•Improved chatbot intelligence with RAG and robust data pipelines managed by Airflow, increasing resolved queries by 50% and reducing live support dependency by 20%.

•Developed an LLM-driven chatbot using Azure SQL and Kubeflow for orchestration, resolving 40% of customer inquiries and reducing support staff workload.

•Deployed clustering techniques for data-driven customer segmentation, enabling targeted marketing campaigns that boosted conversion rates.

•Executed Word2Vec in Python, transforming large customer logs with NLP tools such as SpaCy and Hugging Face, enhancing sentiment analysis accuracy by 30% and guiding product development strategy.

•Utilized prompt engineering, LangChain, and LlamaIndex to boost our chatbots' understanding and response accuracy to user queries, significantly enriching interactions.

•Incorporated DsPy Prompt Engineering for creating personalized chatbot responses, leading to better user engagement through real-time scenario adaptation.

•Implemented an efficient voice conversational AI system using IBM Watson, further enhanced with integration into enterprise AI frameworks to improve user interactions and provide seamless responses. DistillerSR, Data Scientist Full-Stack Developer Apr 2016 – Jul 2018 Kanata, Canada(Remote)

•Developed and implemented data pipelines using Python and Apache Airflow, facilitating the efficient extraction, transformation, and loading (ETL) of large datasets into data warehouses.

•Designed and optimized data integration processes using SQL and Apache Kafka to ensure real-time data flow and synchronization between diverse data sources and applications.

•Built interactive data visualization tools with React and D3.js to enable stakeholders to explore and analyze complex datasets, driving data-driven decision-making.

•Designed and implemented GraphQL APIs using Node.js for backend services and integrating them with React frontends using Apollo Client to optimize data fetching and state management.

•Collaborated with cross-functional teams to define and implement data models that support business intelligence and analytics, improving data accessibility and usability.

•Enhanced data retrieval and processing efficiency by 30% through optimization of SQL and NoSQL database queries, ensuring timely access to critical information.

•Utilized Git and CI/CD pipelines to automate data integration and deployment, reducing update times while ensuring data integrity and consistency across platforms.

InterSources Inc, Junior AI Engineer Web Developer Jan 2015 – Mar 2016 Bentonville, US

•Designed and implemented a TensorFlow image processing pipeline, improving pattern recognition accuracy in financial datasets.

•Developed a RNN-based translation model, enhancing multilingual document analysis with a 40% reduction in processing errors.

•Designed a CNN-based image classification system, achieving human-level precision in identifying financial chart patterns.

•Utilized Styled Components in React Projects to streamline CSS-in-JS implementations, resulting in a 25% reduction in stylesheet size and a 40% faster rendering time for dynamic user interfaces.

•Optimized build processes with Webpack, enhancing application performance and reducing load times by up to 40%, resulting in a 25% increase in user engagement.

•Collaborated with data scientists, increasing AI-driven trading strategy efficiency by 15%. EDUCATION

University of Central Arkansas, Master's Degree of Computer Science Sep 2010 – May 2014 Conway, US

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