who I am
Whether architecting real-time inference endpoints, data lakehouses, or secure, multi-tenant ML platforms, I bring a deeply technical, systems-oriented approach focused on reliability, scalability, and operational excellence.
My Expertise
I engineer robust, production-grade data systems with a focus on distributed processing, machine learning infrastructure, and cloud-native scalability. My expertise spans data pipeline orchestration (Airflow, Step Functions), stream processing (Kafka, Kinesis), and low-latency ETL/ELT using Spark, dbt, and Snowflake.
On the infrastructure side, I design and deploy containerized microservices with ECS and Fargate, manage infrastructure as code with Terraform, and build CI/CD pipelines that integrate seamlessly with ML model deployment workflows. I’m proficient in deploying MLOps stacks with tools like SageMaker, MLflow, and custom-built model versioning systems — supporting full model lifecycle management.
My systems are optimized for observability, reliability, and performance at scale, with built-in monitoring (CloudWatch, Prometheus/Grafana), automated scaling, and fault-tolerant architectures across multi-AZ and hybrid environments.
My Values
In a recent engagement, I architected and led the end-to-end deployment of a multi-region, AI-powered real-time analytics platform on AWS, leveraging event-driven microservices with Lambda and Kinesis to ingest and process over 50 million data points per day with sub-second latency. I engineered infrastructure as code pipelines using Terraform and GitOps practices, enabling automated, auditable, and repeatable deployments that improved release velocity by 60% while maintaining strict compliance and security standards. My multidisciplinary background enhances my ability to design intuitive data visualizations and user interfaces informed by principles of visual storytelling, improving stakeholder engagement and accelerating decision-making cycles. I proactively drive cross-functional collaboration between data scientists, engineers, and product managers, translating complex technical requirements into scalable, maintainable architectures aligned with business objectives. Accountability and operational excellence underpin my work; I implement comprehensive monitoring and alerting strategies with CloudWatch and Prometheus to ensure 99.99% uptime and swift incident response.