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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.
Designs and builds an enterprise-scale Agentic AI platform that lets engineering teams create, deploy, and run secure, governed AI agents using cloud-native tools and AI frameworks.
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.
Build and lead a secure, cloud-native data platform at Salesforce that ingests security signals from multiple sources, integrates AI/ML for risk analysis, and automates remediation using Java, Spark, and AI tools.
Build and deploy production-grade generative AI systems, then train engineers on those solutions using hands-on workshops and mentoring.
Consultant in Milan designing and building generative-AI and agentic solutions for insurance clients, using Python, cloud AI platforms, and modern AI frameworks.
Designs and deploys private AI systems for document intelligence and legal automation using LLMs, RAG, and GPU infrastructure in a law firm setting.
Build and optimize data pipelines for vectorized financial data in Snowflake and Databricks, using Go, Python, and SQL to support AI-driven analytics and retrieval.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Build and deploy AI tools (LLMs, agents, automation) to transform how a $185B private-equity team sources, diligences, and manages investments, collaborating with senior investors and AI practitioners.
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.
Build AI agent consoles and dashboards for human oversight, approval, and telemetry in Equinix’s agentic software delivery platform using React, Python/Java/TypeScript, and enterprise-grade auth.
Build secure, AI-powered web apps for a defense contractor, integrating LLMs and RAG pipelines with Python backend, React/Vue frontend, and vector databases in a classified environment.
Develops, deploys, and maintains AI/ML models for a defense program using GCP, focusing on LLMs, RAG, and agentic workflows to support military operations.
Build autonomous AI agents and tools to automate threat research and security intelligence at F5, using Python, LangChain, and LLMs to generate research reports, dashboards, and technical marketing assets.
Build and maintain a global trust and agency platform using C#, .NET Core, Blazor, and Azure, while integrating AI tools to enhance development and workflows.
Build and deploy production-grade AI systems using LLMs, agentic workflows, and enterprise data to enhance an order-management SaaS platform.
Designs and maintains a large-scale healthcare data platform that integrates EHR, genomics, and imaging data to power AI-driven clinical insights for hospital networks.
Principal Software Engineer at T-Mobile designs and builds high-performance data infrastructure for AI, analytics, and customer-facing products, including vector databases, APIs, and real-time sync pipelines.
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