PeriodDec 2022 – May 2023
LocationOttawa, ON, Canada (Remote)
Impact40% accuracy boost
Websitelemay.ai/
Tech Stack
KubernetesEKSGitLab CI/CDAWS RekognitionAWS TextractPostgreSQLDevOps
About the Company
Lemay.ai is a specialized artificial intelligence consultancy building custom deep learning and NLP architectures for enterprise clients.
My Journey There
I designed and maintained Kubernetes (EKS) cluster topologies to serve machine learning models at scale, implementing auto-scaling policies to handle spikes.
I standardized GitLab CI/CD pipelines, establishing a robust DevOps template that cut deep learning model deployment cycles by half.
Optimized PostgreSQL indexes for vector search queries and integrated AWS Textract pipeline logic.
Key Deliverables & Architectures
- [01]Scalable ML Architecture: Deployed a fault-tolerant microservices architecture on Kubernetes (EKS) for high-load ML model serving; implemented elastic scaling mechanisms that enabled seamless handling of peak AI application demands.
- [02]DevOps Standardization: Engineered and standardized enterprise-grade CI/CD pipelines using GitLab, automating end-to-end model training and validation workflows to slash time-to-production.
- [03]Data Processing: Developed high-throughput pipelines integrating AWS Rekognition and Textract, increasing data extraction accuracy by 40% and optimizing PostgreSQL schemas for complex analytics.