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Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including Slurm clusters, OpenShift/Kubernetes, and NVIDIA stacks, while collaborating with data science and MLOps teams.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including distributed training, RAG pipelines, and NVIDIA stack tuning, while collaborating with MLOps and data science teams.
Leads AI/ML architecture and development for Pfizer’s commercial analytics, designing RAG pipelines, agentic systems, and production-grade AI solutions to optimize marketing spend and business strategy.
Build and deploy AI systems like RAG pipelines and agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
Build and deploy AI-driven systems like RAG pipelines and custom agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
Design and deploy production-grade AI agents and RAG pipelines for fintech workflows, integrating LLMs into core systems with monitoring and safety guardrails.
Build and maintain scalable ML pipelines and infrastructure for AI-driven projects using Docker, Kubernetes, and cloud platforms like AWS/GCP/Azure.
Design, build, and deploy AI/ML models, Generative AI apps, and LLM-based solutions using Python, TensorFlow, and PyTorch.
Lead the design and deployment of predictive models and ML solutions in Python/SQL, collaborating with stakeholders to drive data-driven decisions and mentor junior team members.
Build and deploy ML models on Azure Databricks to analyze healthcare data, engineer features, and deliver predictive analytics for business insights.
Build and maintain scalable data pipelines in Databricks, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting.
Designs, builds, and deploys production-grade ML systems (LLMs, pipelines, and automation tools) for a mid-market professional services firm’s AI-driven internal workflows, collaborating with data scientists, engineers, and stakeholders.
Build and maintain the infrastructure and pipelines that deploy, monitor, and scale machine-learning models in production, using Docker, Kubernetes, and cloud ML platforms.
Oversee end-to-end IT/data platform projects, coordinate cross-functional and vendor teams, and enforce governance using Jira/Confluence in a hybrid PM role.
Designs generative AI and agentic systems, including RAG and LLM solutions, in Azure for an enterprise internal services provider.
Build and optimize cloud-based data pipelines and analytics platforms using Databricks, PySpark, and Delta Lake to support real-time and batch processing for a fintech partner.
Leads the design and delivery of generative AI, RAG, and agentic workflows on Azure, while mentoring a team to build and scale production-grade AI solutions for enterprise use.
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