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Design and deploy generative AI and agentic systems for AWS customers, leveraging LLMs, RAG, and multi-agent frameworks while creating technical content to drive adoption.
Builds and optimizes high-performance vector search systems for Amazon OpenSearch, focusing on ANN algorithms, GPU acceleration, and billion-scale datasets.
Design and advise customers on generative AI and ML solutions using AWS services like Amazon Bedrock and SageMaker, including RAG pipelines and agentic workflows.
Build and deploy LLM- and SLM-powered agentic systems for healthcare decisioning, including clinical reasoning, prior authorization, and claims integrity, using frameworks like LangGraph and LangChain.
Advises clients on securing AI-enabled systems (LLMs, agents) and traditional cyber domains, assessing risks like prompt injection and designing controls for cloud, identity, and AI governance.
Lead enterprise AI engineering at a large utility: design scalable agentic and generative AI systems in Python/AWS Bedrock, set standards, and guide production deployment for safety, reliability, and operational efficiency.
Build generative-AI applications (LLMs, RAG, Agentic AI) that turn enterprise data and knowledge graphs into actionable insights for marketing and strategy teams.
Build and deploy AI workflows, vector databases, and RAG systems while integrating deterministic components and optimizing prompts for production use.
Design and build enterprise-grade generative AI systems on AWS using Bedrock, AgentCore, and RAG pipelines, leading teams to deliver scalable LLM applications with agentic workflows.
Design and implement enterprise-grade MLOps/LLMOps pipelines on AWS SageMaker and EKS, focusing on model lifecycle management, CI/CD, monitoring, and governance for AI/ML systems.
Build and maintain AI developer platforms (LLM Gateway, agent frameworks) to integrate AI features across the SDLC, focusing on scalability, observability, and cost control for high-throughput workloads.
Senior Data Scientist builds and deploys ML/AI models, NLP, and generative AI solutions for a defense health mission, using Python, SQL, and cloud platforms to deliver predictive analytics and decision-support systems.
Build and deploy AI-powered cybersecurity solutions on Google Cloud, integrating LLMs and automation to strengthen identity security and threat detection for a global fintech leader.
Lead the design and deployment of AI-driven cybersecurity platforms on Google Cloud, building threat detection, automation, and AI-enabled resilience for a global fintech leader.
Build AI assistants that let users create and manipulate 3D scenes via natural language, integrating LLMs, NLP pipelines, and knowledge graphs for creative workflows.
Builds AI-powered features like prompt frameworks and retrieval pipelines that automate engineering tasks, integrating LLMs into production systems while ensuring accuracy and reliability.
Build and optimize an AI-powered document compliance platform using Vision-Language Models to verify building permits against codes, integrating FastAPI, React, and Azure cloud services.
Build and deploy AI-powered features for a SaaS platform serving the automotive industry, integrating LLMs and cloud AI services into production applications.
Build full-stack features in React and Python for an AI platform serving construction and sustainability consulting, integrating LLMs and RAG pipelines.
Build and scale Autodesk’s AI-powered 3D model search infrastructure using Node.js, AWS services, and vector databases to deliver fast, cloud-native search experiences across products like Fusion and Forma.
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