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Build and maintain supervised ML models in a government environment, ensuring their reliability and performance in production.
Build and deploy ML models that drive business decisions for a large financial services firm using real-world datasets and a growing ML engineering team.
Leads a team of data scientists to drive user growth at Duolingo by designing experiments, building forecasting models, and translating data insights into strategic decisions for product and business teams.
Build and deploy ML models to match renters with properties, optimize marketplace performance, and drive revenue growth using Python, SQL, and ML frameworks.
Research Software Engineer at Boon Logic building prototypes and refining ML algorithms in close collaboration with CTO and senior engineers.
Lead data-science projects and analytics for a U.S. Air Force program, designing models and dashboards to support secure, mission-critical decision-making.
Lead data science initiatives to improve AI models by designing training data pipelines and metrics, collaborating with cross-functional teams to shape product direction.
Develops AI-driven predictive models for clinical trial data in computational biology, integrating multi-omic datasets (genomics, transcriptomics, proteomics) to advance precision medicine and drug development at Amgen.
Build predictive and recommendation models (churn, AML, personalization) using Python, Spark, and MLOps in a fintech context.
Build and deploy AI models for national security using Python, TensorFlow/PyTorch, and Striveworks’ Chariot AIOps platform; process image, video, text, and geospatial data.
Builds fraud/AML monitoring systems using Azure Databricks, Power BI, and Python/SQL to detect suspicious transactions by integrating transactional and customer data across cloud pipelines.
Lead Marshmallow’s Data Science team to build ML and AI solutions that drive pricing, claims, and operational decisions in a regulated insurtech/fintech, while coaching engineers and partnering with product and commercial teams.
Build statistical models and simulations to analyze player behavior, run A/B tests, and guide game design decisions using Python, R, and SQL.
Build and fine-tune LLMs/SLMs on GPU clusters, from data prep to deployment, and explain the full training pipeline to stakeholders.
Builds and owns predictive models for healthcare supply chain optimization, including vendor matching and order routing, using Python, SQL, and ML techniques.
Builds and deploys predictive models for healthcare DME operations, including vendor matching and order routing, using Python and SQL in a remote role.
Leads a data science team to build predictive models for optimizing medical equipment supply chains, routing orders, and vendor matching using Python, SQL, and ML, while measuring business impact in healthcare operations.
Develops advanced algorithms for partial discharge monitoring and predictive maintenance in energy infrastructure using sensor data, signal processing, and machine learning to detect faults early and improve system reliability.
Build and validate pricing, market-making, and risk models for a high-frequency trading firm using Python, statistics, and financial mathematics.
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks; work with event-driven architectures and real-time data flows.
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