Joseph DavisJD
Open to opportunities

Joseph Davis

@josephdavis

Results-driven AI Developer with expertise in intelligent systems.

United States
Message

What I'm looking for

I am looking for opportunities to innovate in AI, collaborate with talented teams, and drive impactful projects.

I am a results-driven AI Developer with a decade of experience in architecting intelligent systems. My expertise lies in large language models (LLMs), NLP pipelines, prompt engineering, and retrieval-augmented generation (RAG). I have a proven track record of leveraging OpenAI APIs, LangChain, and vector databases like Pinecone to create scalable AI-powered applications that enhance productivity and decision-making for enterprise and SaaS clients.

In my current role as a Senior AI Developer at Pivotking LLC, I architected an enterprise-grade AI assistant platform utilizing GPT-4, LangChain, and Pinecone. I designed modular FastAPI microservices for document management and built LangChain-based agent workflows for various data sources. My strategic technical leadership has driven successful design sprints and architecture reviews, ensuring high-quality AI solutions.

Previously, I led the development of a proprietary RAG framework at ShipMonk, integrating advanced AI technologies for internal compliance use cases. My experience spans from building reusable Python pipelines to automating data workflows, all aimed at optimizing AI performance and user experience. I am passionate about pushing the boundaries of AI technology and continuously improving my skills in this dynamic field.

Experience

Work history, roles, and key accomplishments

PL
Current

Senior AI Developer

Pivotking LLC

Feb 2021 - Present (4 years 5 months)

Architected an enterprise-grade AI assistant platform using GPT4, LangChain, and Pinecone with streaming memory, context re-ranking, and structured prompt templates. Designed modular FastAPI microservices to manage document ingestion, chunking, embedding, and context-aware LLM routing.

KN

Junior ML Developer (Python/NLP)

KnowBe4

Sep 2015 - Present (9 years 10 months)

Built early NLP pipelines using NLTK and spaCy for sentiment analysis, keyword extraction, and chatbot dialogue matching. Assisted in fine-tuning and deploying BERT-based models for document classification and email intent prediction.

Education

Degrees, certifications, and relevant coursework

Texas A&M University logoTU

Texas A&M University

Bachelor Degree, Computer Science

Obtained a Bachelor's degree in Computer Science. The curriculum covered foundational computer science principles and programming concepts.

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