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Cody Barnes
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McDonough, Georgia, United States
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Jobs
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Senior Software EngineerK HealthApr 2023 - Current (3 years 6 months)• Led the design and optimization of K Health's platform, using Python, Django, Node.js, and React to build scalable web applications, APIs, and microservices for the healthcare industry. • Designed and deployed an AI-driven chatbot, integrating LLMs, LangChain, and OpenAI API to provide dynamic symptom assessments based on anonymized medical records. • Optimized database management with PostgreSQL and GraphQL, improving medical data retrieval and query responses, resulting in a 20% faster response time for healthcare professionals. • Automated chatbot training with MLflow, Airflow, and LangChain for model training, monitoring, and versioning, ensuring efficiency and reducing model deployment times. • Built NLP pipelines with spaCy, Hu- Senior Software EngineerCareSourceJan 2021 - Feb 2023 (2 years 2 months)• Developed an AI-driven fraud detection system leveraging GPT-3, BERT, and spaCy to analyze unstructured claims data using NLP, identifying fraudulent patterns such as duplicate submissions, phantom billing, and unbundling services in health insurance claims for over 2 million members. • Designed and implemented predictive risk models using XGBoost, Random Forests, and Scikit-learn, integrating LLMs for anomaly detection in claim narratives, achieving a 92% fraud detection accuracy. • Built real-time prescription fraud detection models using TensorFlow, PyTorch, and Hugging Face Transformers, applying NLP-based risk scoring to detect prescription fraud, opioid abuse, and excessive refills, decreasing controlled substance fraud by 18%. •
- Senior Software EngineerDeloitteJun 2016 - Dec 2020 (4 years 7 months)• Contributed to designing and developing AI/ML-driven data products and full-stack web solutions, optimizing data pipelines, and delivering real-time analytics to support business decision-making across diverse industries. • Developed web applications using React for the frontend and Django/Flask for the backend, ensuring seamless integration and performance optimization. • Designed and optimized databases using PostgreSQL and MongoDB, ensuring efficient data storage and retrieval. Integrated GraphQL to streamline data queries and improve performance across various platforms • Designed, trained, and deployed advanced Natural Language Processing (NLP) models using Python, TensorFlow, Keras, and spaCy, enabling text classification, senti
- Software EngineerNextdoorJan 2013 - May 2016 (3 years 5 months)• Developed an e-learning platform with React.js, Python, and Django and built real-time features like messenger, video/audio calls, and notifications with Twilio APIs, RabbitMQ, and LiveKit, and integrated payment gateways. • Built a microservice structure of an online medical advisor platform with React, Python, Flask, and Node.js using AWS RDS, EC2, and CodePipeline. • Crafted and deployed highly optimized REST APIs using FastAPI, improving API efficiency by 30% based on project analysis. • Improved DB performance with Django ORM, PostgreSQL, and Redis, and integrated authentication and authorization with OAuth2 and JWT. • Created analysis and report dashboards to track engagement metrics with Prometheus, Elasticsearch, and InfluxDB
Education
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- Bachelor's Degree inUniversity of Houston
- Artificial Intelligence Graduate CertificateStanford University