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Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Build and deploy ML models and data pipelines for a financial-services client’s new AI practice using Python, Spark, Hadoop, and SQL.
Senior Data Engineer builds and optimizes Spark applications on Azure/Databricks using Python, enforcing coding standards and collaborating with cross-functional teams to deliver scalable data pipelines.
Build and maintain AI-powered full-stack applications and agentic systems for a pharmaceutical client using Python, AI frameworks (LangChain, LangGraph), and AWS.
Build and ship full-stack GenAI systems and developer tooling that power AI agents, including a flagship medical assistant for physicians, using cloud-native stacks and modern LLM patterns.
Build and deploy GenAI agents and a central AI platform for healthcare, using full-stack development, cloud services, and AI agent patterns to improve clinical decision-making at scale.
Build and deploy a GenAI platform and AI agents for healthcare, focusing on scalable full-stack development, cloud-native systems, and secure AI workflows to accelerate medical decision-making.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
Lead a cloud-native AWS data platform powering underwriting intelligence and GenAI-driven insights, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Lead a team to build AI-driven security automation platforms, including agentic workflows and RAG systems, to enhance threat detection and response for a global financial firm.
Principal engineer defining and building next-gen AI agent platforms on Oracle Cloud Infrastructure, leading multi-team execution and hands-on design of scalable, secure, and cost-aware agentic systems.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve financial-services problems like health analytics and operations modernization.
Build and maintain full-stack .NET applications using C#, ASP.NET Core, and Entity Framework, while integrating AI tools like OpenAI and vector databases.
Research fellow role in generative AI and ML systems, building models with PyTorch/TensorFlow on AWS and MLOps tools like Docker and Langchain.
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