Technical lead responsible for architecting and delivering enterprise AI platforms for IBM’s largest clients while leading a team of 9 engineers across multiple AI initiatives and enterprise deployments.

• Lead a team of 9 engineers delivering production-grade Generative AI systems for enterprise clients using watsonx.ai, watsonx orchestrate, coordinating architecture, development, and deployment across multiple concurrent project streams.

• Architect and deploy agentic AI systems and RAG platforms using LangGraph, CrewAI, Watsonx Orchestrate, Milvus, and OpenSearch running on secure OpenShift GPU clusters.

• Drive end-to-end enterprise solution architecture, translating complex business and regulatory requirements into scalable AI platforms deployed in secure and air-gapped environments.

• Partner with product leadership and client stakeholders to operationalize generative AI capabilities into production enterprise platforms.

• Guide architecture decisions, code reviews, and DevOps practices across the team to ensure high reliability, performance, and security standards.

• Manage multiple parallel AI workstreams including agent orchestration platforms, enterprise RAG systems, and AI observability frameworks.

• Mentor engineers and provide technical leadership across the organization, helping scale IBM’s enterprise AI platform capabilities.

Technologies and skills most leveraged:

CrewAI, LangGraph, MCP, Watsonx Orchestrate, Python, Node.js, TypeScript, IBM Cloud, AWS, Kubernetes, OpenShift, Milvus, OpenSearch, RAG, Generative AI, Terraform, DevSecOps, Helm, Cluade Code, Antigravity, Product Management, Technical Leadership

Senior technical leader within IBM’s AI incubator responsible for leading a 9-engineer team developing next-generation AI platforms and prototypes that bridge applied research and enterprise production systems.

• Led a team of 9 engineers building advanced AI platforms focused on generative AI, agent orchestration, and enterprise automation.

• Collaborated closely with IBM research and product teams to explore and operationalize emerging AI technologies, including LLM fine-tuning on regulatory and policy frameworks to support enterprise governance and compliance use cases.

• Architected distributed agent-based AI systems using CrewAI, LangGraph, and Model Context Protocol (MCP) to enable autonomous enterprise workflows.

• Designed and deployed AI systems on GPU-accelerated OpenShift clusters using watsonx.ai and vector databases to support high-throughput inference and real-time decision intelligence.

• Led multiple innovation workstreams simultaneously, coordinating engineering efforts across applied research, product prototyping, and early enterprise deployments.

• Served as Technical Lead and Architect for ConveyorAI, an ML workflow automation platform that later evolved into DevFlow and influenced IBM Watson Code Assistant.

• Mentored engineers and established architectural patterns that accelerated the development of IBM’s emerging AI ecosystem.

Technologies and skills most leveraged:

CrewAI, LangGraph, MCP, Watsonx Orchestrate, Python, Node.js, TypeScript, IBM Cloud, AWS, Kubernetes, OpenShift, Milvus, RAG, Generative AI, Terraform, DevSecOps, Cluade Code, Product Management, Technical Leadership

Architected and delivered large-scale conversational AI systems powering Fidelity’s customer service platforms, handling ~1.5M daily interactions and driving significant call-deflection cost savings, including the end-to-end integration of enterprise telephony systems with the NLP conversation service to enable real-time speech-to-text and text-to-speech workflows across phone and web channels.

Led architecture and development of core features for Fidelity’s virtual assistant, including live-agent escalation, multi-provider NLU integrations, and personalized conversational flows.

Designed and implemented end-to-end bot deployment pipelines for AWS Lex, including versioning, testing, CI/CD, and production rollout.

Established testing and DevOps best practices across the AI platform, improving system reliability and deployment velocity.

As a FullStack Javascript Engineer, built and architected internal applications from the ground up.

• Developed a budgeting website for Fidelity's UXD department, enhancing project budgeting and forecasting, resulting in cost savings.

• Created Fidelity UXD's design panel website, a tool for designers to manage projects, share information, and integrate with internal APIs.

Member of the post order team in staples.com. Focusing mainly on the user interface.