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Bryan Terrell

@bryanterrell

Senior Software Engineer building production AI systems with Python, scalable data pipelines, and tested backend services.

United States

Message

What I'm looking for

I want to build production AI-driven backend services—owning data pipelines, ML model deployment, and testing/monitoring—while improving latency, reliability, and scalability in a collaborative engineering team.

I’m a Senior Software Engineer specializing in Python and AI-driven applications, building intelligent systems, data pipelines, and scalable backend services. I apply machine learning techniques to real-world problems while keeping production-ready code supported by comprehensive testing.

At TEKsystems, I developed AI-powered backend services that enable intelligent data processing and predictive functionality across enterprise applications. I built and deployed machine learning models with TensorFlow and Scikit-learn, designed pipelines with Pandas and Apache Spark, and exposed real-time predictions through FastAPI REST APIs.

I also lead end-to-end reliability work—automating model evaluation with PyTest, orchestrating retraining and deployment with Airflow, and using Docker and Kubernetes for consistent MLOps. I optimized feature engineering and streamlined inference pipelines, reducing inference latency by 31% while improving long-term monitoring for performance and drift.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

TEKsystems

Nov 2021 - Present (4 years 6 months)

Developed AI-powered Python backend services, building and deploying TensorFlow/Scikit-learn models and FastAPI endpoints for real-time predictions; reduced inference latency by 31% through pipeline and model optimization. Designed Pandas/Spark data pipelines, automated retraining with Airflow, and deployed containerized solutions on Docker/Kubernetes with robust PyTest-based validation.

Python TensorFlow scikit learn fastAPI Pandas Apache Spark Airflow Docker Kubernetes Pytest

Junior Software Engineer

SAIC

Nov 2019 - Nov 2021 (2 years)

Supported Python data-processing and early machine learning experimentation using Pandas/NumPy and Scikit-learn, and built Flask REST APIs for internal use. Wrote unit tests (unittest/NUnit), worked with SQL, and improved data processing efficiency by reducing manual workload by 22% via automation scripts.