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VP-level senior backend engineer on Morgan Stanley's LIFC Technology team in New York, modernizing core accounting and P&L platforms by consolidating legacy workflows into a cloud-native web platform used daily by Finance and Treasury. Core stack: Java, Scala, and Python for data-heavy, scalable services.
VP-level senior engineer in Morgan Stanley's Machine Learning Research group: works with ML researchers to productionize and deploy ML solutions, maintains production systems, and builds MLOps tooling to manage and reuse ML models firm-wide. Core stack: Python, Java/C/C++, Docker/Kubernetes, AWS/Azure/Terraform, Linux.
VP-level backend engineer at Morgan Stanley's technology division who designs, builds, and runs scalable distributed backend services and production Generative AI applications (LLMs, RAG, agents) for investment banking. Core stack: Python or Java, microservices, cloud, CI/CD, and modern AI frameworks.
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