Joseph Davis
@josephdavis
Results-driven AI Developer with expertise in intelligent systems.
What I'm looking for
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
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.
AI & NLP Engineer
ShipMonk
May 2019 - Present (6 years 2 months)
Led development of a proprietary RAG framework integrating SentenceTransformers, FAISS, and GPT3.5-turbo for internal knowledge and compliance use cases. Built reusable Python pipelines for document parsing, metadata tagging, text normalization, and semantic similarity scoring.
AI-Powered Automation Developer
FanHero
Jun 2017 - Present (8 years 1 month)
Created FastAPI-based services that leveraged GPT3 for contextual summarization of insurance policies and business contracts. Developed metadata-aware chunking utilities with scoring logic for identifying relevant sections in large enterprise documents.
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
Bachelor Degree, Computer Science
Obtained a Bachelor's degree in Computer Science. The curriculum covered foundational computer science principles and programming concepts.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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