Principal AI Engineer at Aleven AI (2025-07 – Present)
- Architected production-grade agentic AI workflows utilizing LangGraph StateGraph and multi-agent planning loops, enabling autonomous tool usage and complex task resolution across retail and service domains.
- Developed GraphRAG-enabled conversational platforms implementing hybrid graph traversal combined with vector-based retrieval, ensuring accurate, domain-grounded responses with minimized hallucination risks.
- Designed and deployed Model Context Protocol MCP server patterns facilitating seamless interaction between agentic workflows and semantic data systems, defining structured tool definitions for agent execution.
- Defined and implemented context engineering strategies including advanced text chunking, semantic optimization, and metadata injection for LLM prompts, significantly improving retrieval relevance and token efficiency.
- Engineered automated metadata extraction and semantic tagging pipelines using distributed multi-agent architectures, applying NLP and LLM-based approaches to classify and index high-volume content assets.
- Built LLM orchestration workflows using LangChain and LangGraph harnesses featuring memory injection, sliding windowing for context management, and semantic compression via agent-based summarization routines.
- Constructed robust multi-provider LLM orchestration frameworks supporting sub-agent delegation, runtime re-invocation, and structured function calling within secure OAuth 2.1 authentication boundaries.
- Prototyped agent-based solutions for business use cases including automated financial transaction processing and customer data onboarding workflows, demonstrating scalable agent deployment patterns.
- Optimized semantic data integration by leveraging metadata catalogs and structured API definitions to enhance knowledge retrieval performance and maintain consistency across diverse data sources.
- Implemented Redis-serialized state management and vector database indexing to support low-latency streaming agents while maintaining persistent memory contexts for multi-turn interactions.
Principal AI Engineer at Newtide AI (2025-04 – 2025-06)
- Collaborated with semantic data architects to ensure ontologies and graph structures were optimized for agent traversal, developing custom MCP servers for natural language querying across relational and document stores.
- Designed enterprise-grade agentic workflows for financial operations, integrating automated metadata extraction mechanisms to streamline data governance and compliance reporting.
- Developed LLM-powered analysis agents capable of executing complex queries over heterogeneous data backends, leveraging context engineering techniques to deliver precise insights from large datasets.
- Established secure authentication flows and data masking protocols within MCP endpoints, guaranteeing protected access to sensitive semantic data systems while maintaining high availability.
Principal Software Engineer at Gas Valet (2018-01 – 2025-03)
- Architected metadata-driven system integrations leveraging rule-based AI and semantic data modeling to automate reconciliation workflows, establishing foundational patterns for knowledge graph implementation.
- Designed and maintained scalable database schemas and metadata catalogs supporting high-throughput transaction processing, serving as the backbone for semantic query optimization and structured data access.
- Spearheaded development of cloud-native infrastructure and semantic layer components, enabling rapid prototyping of AI-driven features and data-centric business logic.
- Directed technical strategy for patent-protected fintech solutions, aligning semantic data architectures with rigorous security standards and regulatory requirements.
Senior Software Engineer at Preel (2015-07 – 2017-12)
- Engineered embedded AI systems and metadata collection platforms for IoT edge deployments, applying early agentic concepts to autonomous device management and data synchronization.
- Developed cloud-based semantic interfaces for real-time communication and campaign management, demonstrating proficiency in integrating AI capabilities into distributed networks.
Summary of Earlier Experience at Multiple Organizations
Catapult Health, Qeala Labs, Integer Group, GHN, BWC, Edgetech, BlinkCorp, Deloitte, Royal Caribbean, Aria Media, Verizon, Gear Out
- Delivered extensive enterprise software development and integration leadership across multiple organizations, focusing on data synchronization engines, BizTalk orchestrations, SAP integrations, and custom CMS platforms.
- Designed high-availability database architectures, caching algorithms, and ESB solutions that improved system scalability and operational efficiency for global enterprises.
- Managed full lifecycle development of web, mobile, and desktop applications, mentoring development teams and driving adoption of Agile methodologies.
- Secured Microsoft certifications in BizTalk Server and.NET Technologies, validating expertise in enterprise messaging and application development frameworks.
