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Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
Lead a team to design, build, and deploy AI/ML models that transform market operations at a global bank, using Python, cloud platforms, and MLOps practices.
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.
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.
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 GenAI and agentic AI workflows to automate business processes across departments at Samsung Ads, using Python, RAG, vector DBs, and AWS Bedrock.
Consultant in Milan designing and building generative-AI and agentic solutions for insurance clients, using Python, cloud AI platforms, and modern AI frameworks.
Junior role in Deloitte’s Bari office building GenAI and agentic AI solutions for insurance clients, using Python, LLM frameworks, and cloud services.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Build and lead the AI platform that powers isolved’s HCM suite, designing scalable LLM gateways, RAG pipelines, agentic runtimes, and SDKs while ensuring observability, governance, and cost control across ~20 engineers.
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 and ship production-grade LLM-powered agents that automate software delivery tasks like design, coding, testing, and release, while engineering trust via evals, guardrails, and enterprise integrations.
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 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 deploy agentic AI systems and internal AI tools for a fintech company, using Python, LLMs, and full-stack development to automate workflows and improve efficiency.
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.
Design and scale secure, HIPAA-compliant AI/ML solutions for a federal health benefits provider, focusing on LLM integration, RAG pipelines, and agentic workflows across multi-cloud environments.
Build and ship an agentic internal search engine and Perplexity-style UI for Humana employees using Python, Vertex AI, and GCP, focusing on retrieval, reasoning, and production-grade reliability.
Design and lead secure, scalable GenAI solutions for Amgen, including LLM assistants, agents, and RAG systems, using enterprise AI platforms and cloud-native architectures.
Design and build AI-native features like LLM-powered chatbots and video search for smart-home products, using agentic AI frameworks and cloud-native stacks.
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