About Justin
Senior AI/ML Engineer with 8+ years of experience in machine learning, cloud-native development, and data-driven backend architecture. Specialized in LLM integration, NLP, RAG pipelines, and production-grade ML systems on AWS and GCP. Proven success in deploying AI-powered automation, predictive analytics, and real-time data platforms that drive measurable business impact. Strong foundation in Python, MLOps, and distributed systems.
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Creative Global ConsultingSenior AI/ML EngineerMarch 2024 - Today (2 years and 5 months)• • Designed and deployed AI-driven data pipelines integrating RAG and LLM APIs for enterprise document intelligence.• • Built microservices in Python and Rust for model serving and inference, reducing response latency by 40%.• • Engineered event-driven pipelines using Kafka, AWS Lambda, and API Gateway for real-time ML predictions.• • Automated MLOps pipelines with Docker, Kubernetes, Jenkins, and CircleCI for seamless model deployment.• • Partnered with data scientists to productionize transformer-based models, ensuring scalability and reliability.
- Howard MillerLead Backend & ML EngineerOctober 2021 - February 2024 (2 years and 4 months)Zeeland, MI 49464, USA• • Led design of ML-enhanced backend systems, integrating forecasting and recommendation models.• • Built FastAPI-based ML inference APIs on AWS Lambda, scaling to millions of daily requests.• • Deployed authentication and access control using OAuth2, JWT, and AWS Cognito.• • Improved SQL performance and data caching, cutting latency by 30%.• • Contributed to SageMaker-based experimentation and feature store development for model training and deployment.
- PhotonSoftware Engineer (AI/Data Systems)May 2019 - August 2021 (2 years and 3 months)• • Developed fintech ML APIs for fraud detection, risk scoring, and predictive analytics using Python/FastAPI.• • Designed ETL pipelines with Spark, AWS Glue, and S3 for large-scale data ingestion.• • Deployed containerized inference services via Docker and AWS ECS, improving throughput and cost efficiency.• • Built real-time monitoring dashboards integrating AI-powered anomaly detection.
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Education
- Bachelor's degree, InformationNovosibirsk State University (NSU)2017Bachelor's degree, Information