Teams at Aptus Data Labs

Lead AI strategy and roadmap execution while mentoring AI engineers and data scientists. Architect scalable production AI pipelines, optimize inference across cloud and edge environments, and implement MLOps, monitoring, drift detection, retraining, and governance practices. Design and deploy machine learning, deep learning, NLP, generative AI, RAG, and agentic solutions. Collaborate with business and technical stakeholders, evaluate AI opportunities, build investment cases, track ROI, and communicate technical solutions.

Designs end-to-end Databricks Lakehouse architectures, leads enterprise data pipelines, ETL frameworks, and real-time streaming applications. Defines architecture standards, mentors engineering teams, translates business needs into scalable solutions, and implements CI/CD, orchestration, security, and cloud infrastructure practices. Optimizes large-scale data systems for performance and cost while overseeing integrations with Power BI, Kafka, Snowflake, and upstream and downstream platforms.