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Build and own production ML systems for identity resolution, audience intelligence, and personalization using Databricks, Snowflake, and AWS to power WBD’s streaming and ad-tech platforms.
Build and deploy ML systems for identity resolution, audience modeling, and personalization on AWS/Databricks, turning first-party data into scalable ML capabilities for media and advertising.
Lead high-impact ML projects and set technical standards for a neobank’s Data Science & AI teams, designing credit, fraud, and personalization models at scale.
Build and deploy ML models for cybersecurity use cases like threat detection and risk scoring using Python, PyTorch, and cloud-native pipelines.
Build and improve ML models for ad-campaign optimization, ranking, bidding, and forecasting to maximize performance metrics like CTR, ROAS, and CPA at scale.
Build and scale quantitative trading strategies for European energy markets using Python, ML, and optimisation to dispatch flexible assets and forecast prices.
Build and own ML models for marketing at a BNPL fintech, including customer intent modeling, next-best-action frameworks, and marketing mix modeling to drive customer acquisition and budget allocation.
Build and deploy ML models (XGBoost, RAG, agent workflows) to drive business decisions in consumer banking, partnering with developers to integrate solutions.
Build and deploy ML/AI models (including GenAI) for pricing, personalization, and fraud detection in a restaurant-tech SaaS platform.
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast metrics for logistics and insurance workflows using time-series and geospatial models.
Analyzes user behavior, runs A/B tests, and builds dashboards in Superset to track product and ad-campaign metrics using SQL, Python, and BI tools.
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy ML models to deliver strategic insights for Wolters Kluwer’s finance and sales teams.
Lead Affirm’s ML underwriting systems, designing and scaling advanced models (e.g., Transformers, XGBoost) with PyTorch and Spark to drive transparent credit decisions and mentor senior engineers.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Builds and refines statistical and time-series models to forecast U.S. passport demand for a federal agency, using Python, econometrics, and AWS serverless tools.
Lead a fraud-detection team building ML models to protect an affiliate-marketing platform from attribution fraud, lead fraud, and emerging threats like browser-extension abuse.
Build and optimize AI/ML models for sanctions screening in Visa’s AML/CFT compliance pipeline, using fuzzy matching, NLP, and global sanctions data to detect financial crime.
Build and deploy production-grade AI and ML solutions in Python for consumer lending, using cloud platforms and MLOps tooling to drive value for millions of banking customers.
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