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I'm a Senior Python AI Engineer with 16+ years of experience building scalable machine learning systems, data platforms, and real-time inference pipelines. I enjoy turning complex data problems into robust, production-ready solutions that drive real business impact. I specialize in NLP, LLM-powered applications, and fraud detection systems, with a strong background in MLOps, distributed data processing, and cloud-native infrastructure using Kubernetes, Docker, and CI/CD pipelines.…I'm a Senior Python AI Engineer with 16+ years of experience building scalable machine learning systems, data platforms, and real-time inference pipelines. I enjoy turning complex data problems into robust, production-ready solutions that drive real business impact. I specialize in NLP, LLM-powered applications, and fraud detection systems, with a strong background in MLOps, distributed data processing, and cloud-native infrastructure using Kubernetes, Docker, and CI/CD pipelines.

Brandyn Buchanan

PRO

AI Engineer, Full Stack Developer, Back-End Developer, +7

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I'm a Senior Python AI Engineer with 16+ years of experience building scalable machine learning systems, data platforms, and real-time inference pipelines. I enjoy turning complex data problems into robust, production-ready solutions that drive real business impact. I specialize in NLP, LLM-powered applications, and fraud detection systems, with a strong background in MLOps, distributed data processing, and cloud-native infrastructure using Kubernetes, Docker, and CI/CD pipelines.…I'm a Senior Python AI Engineer with 16+ years of experience building scalable machine learning systems, data platforms, and real-time inference pipelines. I enjoy turning complex data problems into robust, production-ready solutions that drive real business impact. I specialize in NLP, LLM-powered applications, and fraud detection systems, with a strong background in MLOps, distributed data processing, and cloud-native infrastructure using Kubernetes, Docker, and CI/CD pipelines.

Available to hire

Atlanta, United States

I’m a Senior Python AI Engineer with 16+ years of experience building scalable machine learning systems, data platforms, and real-time inference pipelines. I enjoy turning complex data problems into robust, production-ready solutions that drive real business impact.

I specialize in NLP, LLM-powered applications, and fraud detection systems, with a strong background in MLOps, distributed data processing, and cloud-native infrastructure using Kubernetes, Docker, and CI/CD pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Software Engineer at Uber

October 1, 2022 - August 1, 2025

Designed and implemented Python-based ML pipelines supporting fraud detection, risk scoring, and identity verification at scale. Built real-time inference systems that integrate ML models into production decision engines for payments and promotions. Developed NLP and LLM-powered systems for support automation, enabling intelligent ticket classification, routing, and response generation. Implemented feature engineering pipelines using Kafka and streaming platforms to ensure consistent and scalable model inputs. Built computer vision pipelines for identity verification, improving fraud detection accuracy and reducing false positives. Created data ingestion workflows to process large-scale, multi-source datasets for ML experimentation and offline evaluation. Collaborated with data scientists and ML engineers to improve model performance, evaluation, and deployment workflows.

Principal Software Engineer at Gipsi Insight

October 1, 2021 - September 1, 2022

Led development of a Python-based MLOps platform covering model training, deployment, monitoring, and automated retraining. Built scalable batch and streaming data pipelines to support ML workflows across multiple domains. Designed infrastructure for real-time and offline ML systems, improving model lifecycle management and deployment efficiency. Implemented CI/CD pipelines with Docker, Kubernetes, and Jenkins for automated ML service deployment. Developed monitoring and alerting to track model performance, drift, and system health, and established best practices for reliability, versioning, reproducibility, and experiment tracking. Mentored engineers and contributed to AI platform architecture and decision making.

Senior Software Engineer at Coinbase

February 1, 2017 - September 1, 2021

Built data-driven backend systems in Python to support fraud detection, compliance, and financial analytics. Developed an AI-powered risk scoring system that improved account protection and transaction security. Designed and implemented data pipelines for processing transactions and user behavior data, enabling real-time insights. Built speech-to-text and sentiment analysis pipelines to enhance customer support automation. Implemented event-driven architectures for scalable data processing and system integration. Collaborated with frontend teams to surface data insights via React-based dashboards and tools. Improved system observability with distributed tracing and monitoring.

Software Engineer at EPAM Systems

August 1, 2010 - January 1, 2016

Built Python-based data processing systems and backend services across fintech and IoT industries. Designed ETL pipelines for large-scale data processing and analytics. Developed full-stack applications integrating backend data systems with frontend interfaces. Deployed cloud-native systems using Docker, Kubernetes, Jenkins, and Terraform. Improved deployment speed and reliability through CI/CD and best practices. Designed and optimized data storage with SQL and NoSQL technologies.