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Hi, I’m Brian Musonza, a Machine Learning Engineer with 5 years of experience building high-throughput production systems and MLOps pipelines. I’ve deployed real-time fraud-detection models and migrated enterprise feature stores (>100 TB) with zero downtime. I’m passionate about Generative AI and have hands-on experience with Agentic Systems and RAG architectures, and I’m eager to apply AWS, Docker, and Terraform to build scalable, next-generation AI applications.…Hi, I’m Brian Musonza, a Machine Learning Engineer with 5 years of experience building high-throughput production systems and MLOps pipelines. I’ve deployed real-time fraud-detection models and migrated enterprise feature stores (>100 TB) with zero downtime. I’m passionate about Generative AI and have hands-on experience with Agentic Systems and RAG architectures, and I’m eager to apply AWS, Docker, and Terraform to build scalable, next-generation AI applications.

Brian Musonza

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Brian Musonza, a Machine Learning Engineer with 5 years of experience building high-throughput production systems and MLOps pipelines. I’ve deployed real-time fraud-detection models and migrated enterprise feature stores (>100 TB) with zero downtime. I’m passionate about Generative AI and have hands-on experience with Agentic Systems and RAG architectures, and I’m eager to apply AWS, Docker, and Terraform to build scalable, next-generation AI applications.…Hi, I’m Brian Musonza, a Machine Learning Engineer with 5 years of experience building high-throughput production systems and MLOps pipelines. I’ve deployed real-time fraud-detection models and migrated enterprise feature stores (>100 TB) with zero downtime. I’m passionate about Generative AI and have hands-on experience with Agentic Systems and RAG architectures, and I’m eager to apply AWS, Docker, and Terraform to build scalable, next-generation AI applications.

Available to hire

Hi, I’m Brian Musonza, a Machine Learning Engineer with 5 years of experience building high-throughput production systems and MLOps pipelines.

I’ve deployed real-time fraud-detection models and migrated enterprise feature stores (>100 TB) with zero downtime. I’m passionate about Generative AI and have hands-on experience with Agentic Systems and RAG architectures, and I’m eager to apply AWS, Docker, and Terraform to build scalable, next-generation AI applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Machine Learning Engineer at Smartnumbers

July 1, 2022 - Present

Scaled Data Infrastructure: Migrated >100 TB feature store to Apache Iceberg with zero downtime, enabling hidden partitioning and schema evolution, delivering 10x faster queries for analytics and model training. ML Inference Pipelines: Maintain a high-availability Lambda -> SageMaker Model Endpoint pipeline used to detect fraud in real-time and materially reduce fraud loss. Infrastructure as Code (IaC): AWS CDK to deliver fully reproducible infrastructure, enabling rapid provisioning, decommissioning, and simplified maintenance. Observability: Real-time monitoring with CloudWatch, SNS, and Lambda for alerts and incident response.

Associate Data Engineer at Lyst

March 1, 2021 - June 1, 2022

Data Engineering: Refactored S3 -> Kinesis -> Firehose ingestion datalake for data enrichment, significantly raising data-quality compliance. Tooling: Maintained and extended a shared Python library used by platform and data-engineering teams to standardize workflows. CI/CD & Quality: Reinforced automated schema checks maintained at the CI/CD pipeline to ensure data quality and compliance.

Junior DevOps Engineer at Football Index Software

February 1, 2020 - March 1, 2021

Led the integration of security and incident management platforms. Crafted a platform health monitoring system with Pingdom and Statuspage.io, reducing incident detection and response time.