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Lead the design, development, and deployment of AI/ML models—including Agentic and Generative AI—to automate and optimize financial data reconciliation at enterprise scale for a global bank.
Builds and deploys enterprise-grade AI solutions using Generative AI, LLMs, RAG, and AI agents, from design to production on cloud platforms.
Designs and deploys enterprise-grade AI/ML solutions, focusing on Generative AI, LLMs, RAG, and AI agents using Python, TensorFlow/PyTorch, and cloud platforms.
Design and evaluate cutting-edge AI models for a research initiative, focusing on machine learning and natural language processing tasks using Python and frameworks like PyTorch or TensorFlow.
Design and evaluate MLOps systems and GPU kernel optimizations for next-gen AI models using JAX, PyTorch, and Triton, collaborating with research teams on large-scale training infrastructure.
Designs and deploys AI/ML algorithms for medical devices, analyzing physiological signals and clinical data to improve patient monitoring and disease detection.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Designs and implements AI/ML models to automate and enhance customer support experiences using deep learning, NLP, and predictive analytics.
Build and deploy ML systems that power bird identification tools used by millions, working with large biodiversity datasets and cloud infrastructure.
Lead a team of data scientists to build AI-powered analytics for The Home Depot’s supplier platform, integrating GenAI, LLMs, and predictive models to drive data-driven decisions.
Develops, deploys, and maintains AI/ML models for a defense program using GCP, focusing on LLMs, RAG, and agentic workflows to support military operations.
Lead AI/ML and data-science projects to optimize Advanced Synthesis workflows, build predictive models, and drive digital innovation in pharma/biotech.
Build and maintain AI-powered risk models and data pipelines for a SaaS platform that monitors cyber, financial, operational, and geopolitical risks for Fortune 100 clients.
Build and deploy AI systems for automotive manufacturing, including computer vision for defect detection and predictive maintenance, using Python, TensorFlow, and industrial automation tools.
Lead the design and deployment of ML systems that extract structured signals from documents and images to automate business decisions across GEICO’s insurance operations.
Build and deploy generative AI and agentic systems in Python to improve healthcare outcomes, using LLMs and frameworks like LangChain while ensuring responsible, scalable AI practices.
Build and scale AI-powered identity-security systems using ML models, MLOps, and cloud-native pipelines to automate access decisions and detect anomalies for enterprise customers.
Build and deploy production-grade AI systems using LLMs, agentic workflows, and enterprise data to enhance an order-management SaaS platform.
Design and build distributed backend systems and AI agent frameworks for next-generation power grid management, integrating with SCADA, PMU data streams, and time-series databases using Python, Java, C++, or Go.
Designs and builds cloud-native AI services and APIs on Microsoft Azure to power industrial software products, focusing on LLMs, RAG, and agent orchestration.
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