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David McDuffie

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Nevada, United States

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Jobs verified_user 0% verified
  • Simform
    Senior AI Full Stack Engineer
    Simform
    Nov 2023 - Current (3 years)
    • Spearheaded the development of LLM-powered AI agents using LangGraph and LangSmith, enabling dynamic multi-turn conversations and tool-chaining capabilities for intelligent automation. • Built and deployed a hyper-personalized product recommendation system for e-commerce, leveraging LLMs and user embeddings to drive a 23% increase in conversions and 37% boost in engagement. • Designed and implemented a context-aware orchestration layer for AI agents with LangGraph, supporting memory, external API access, and decision branches for personalized user experiences. • Utilized LangSmith for observability, experiment tracking, and prompt evaluation, establishing continuous improvement pipelines for AI agent performance tuning. • Engineered
  • M
    AI Engineer
    Meta AI
    Jan 2021 - Sep 2023 (2 years 9 months)
    • Led the end-to-end integration of recommendation engine models into Facebook Feed and Instagram Explore, boosting user engagement metrics (CTR, dwell time) by over 12% through contextual content ranking. • Designed and deployed large-scale NLP models for Messenger to enable smart replies, intent recognition, and multi-turn conversations, handling over 500 million daily interactions with low latency response times. • Collaborated with product teams to implement vision-language transformers for Instagram Stories and Reels, enabling real-time content moderation and automatic captioning, improving accessibility compliance by 30%. • Developed and optimized personalized AI notification systems using reinforcement learning across Facebook an
  • Amazon
    Machine Learning Engineer
    Amazon
    May 2018 - Dec 2020 (2 years 8 months)
    • Developed and deployed scalable ML models for Amazon's recommendation engine, leading to a 6.5% increase in click-through rate (CTR) across personalized product pages by optimizing feature engineering pipelines and retraining schedules. • Designed a real-time fraud detection system using XGBoost and Kafka for Amazon Payments, reducing transaction fraud by 31 % in under 3 months, and integrated it with existing backend services via scalable RESTful APIs. • Led experimentation framework optimization by integrating Bayesian Optimization for hyperparameter tuning across distributed training jobs using SageMaker, cutting model tuning time by 40%. • Built and maintained a feature store to streamline feature reuse and reduce data leakage in
  • Zappos
    Backend Engineer
    Zappos
    Jun 2016 - Apr 2018 (1 year 11 months)
  • Zappos
    Software Developer Intern
    Zappos
    Jul 2015 - May 2016 (11 months)
    • Collaborated with senior backend engineers to design and implement scalable RESTful APIs supporting customer personalization and order tracking, reducing response latency by 20%. • Built and optimized database queries in MySQL and DynamoDB, improving data retrieval efficiency for high-traffic services on the Zappos.com platform. • Participated in Agile development cycles, contributing to code reviews, unit test coverage, and CI/CD deployment pipelines using Jenkins and Docker.
Education verified_user 0% verified
  • U
    Bachelor of Science
    University of Nevada, Las