Experience
Senior Engineering Manager — Data & AI Platform, Central Technology
- Lead a large-scale engineering organization spanning data and AI platform teams, with direct reports including engineering managers and principal engineers.
- Directed the migration of Booking.com's foundational data infrastructure — ingest, storage, compute, and catalog — from on-premises Hadoop to AWS.
- Designed and executed compute and storage optimization across the company's AWS footprint.
- Define engineering standards, operating model, and architectural direction across federated platform teams serving analytics, ML, and AI consumers across the company.
- Responsible for organizational design, hiring, performance management, and leadership development at organizational scale.
- Managed vendor procurement including contractor engagements, software licensing, and SoW drafting and negotiation.
Engineering Manager — Big Data Platform; Data Workflows & Tools
- Led teams responsible for core data pipeline infrastructure, workflow orchestration, and internal tooling serving ML and analytics consumers across the company.
- Drove reliability, scalability, and governance improvements to data infrastructure under rapid adoption growth.
- Built and scaled teams through hiring and organizational design.
Senior Software Developer — Big Data Infrastructure; Data Workflows & Tools
- Designed and implemented core data infrastructure components: ingestion pipelines, distributed processing frameworks, and storage systems at petabyte scale.
- Led technical delivery on high-impact data platform initiatives alongside engineering management responsibilities.
Software Developer — Big Data Infrastructure
- Developed and maintained large-scale data processing systems on Hadoop and Spark infrastructure.
Data Scientist — Frontend Analytics and Applied Modeling
- Built and deployed statistical models and analytical pipelines supporting product and business decisions.
- Applied machine learning methods to frontend analytics and behavioral data at scale.
Researcher — Doctoral Research in ML, NLP, and Music Information Retrieval
- Designed, developed, and published peer-reviewed open-source software for machine learning, natural language processing, and music information retrieval.
- Research scope: classification, sequence modeling, and perceptual modeling of musical structure.
Software Developer — Large-Scale Bioinformatics Analysis Pipelines
- Developed and applied open-source software for high-throughput bioinformatics sequencing data analysis pipelines.
- Contributed to genome-wide DNA methylation research resulting in multiple peer-reviewed publications.
Freelance Developer — Applied Modeling and Web Development
- Built predictive models for customer attrition, auction outcomes, and real-estate market state inference.
- Delivered web backend systems and frontend usability improvements.
Skills
Machine Learning & AI: scikit-learn, statistical modeling, NLP, applied ML, ML platform design, model lifecycle management
Data Engineering: Apache Spark, Hadoop, Snowflake, SQL, Kubernetes, Terraform, Kubeflow, FinOps, data pipeline design, data governance
Data & ML Ops, Platform Architecture: data and ML ops frameworks, platform architecture, compute optimization, AWS (S3, EKS), reference architecture definition
Engineering Leadership: large-scale migrations and replatforming, operating model design, organizational design, performance management, cross-directorate alignment, vendor procurement, contract management
Programming: Python, Java, SQL, C, Clojure, Prolog, Ruby, Rust, Go