Helping growth-stage startups, government agencies, and Fortune 500 enterprises modernize data infrastructure, design scalable cloud architectures, and execute seamless digital transformations.
Specialized architectural leadership and hands-on systems engineering tailored for mission-critical client engagements.
Designing resilient, cloud-native solutions on AWS and Azure. Establishing microservices standards, serverless functions, container orchestration, and multi-region infrastructure patterns.
Architecting enterprise data lakehouses, real-time streaming pipelines, and vector data infrastructure. Specialized in Snowflake, Databricks, Apache Iceberg, and streaming ETL for AI-ready data ecosystems.
Designing production autonomous agent workflows, multi-agent swarms, Model Context Protocol (MCP) integrations, GraphRAG frameworks, and LLM governance & evaluation systems.
Implementing zero-trust access management, enterprise Okta IAM integrations, SAML/OIDC authentication protocols, and compliance-driven cloud platform security.
Managed large-scale database migration for State of New York Department of Taxation & Finance and Department of Labor. Designed ETL/ELT strategies to seamlessly migrate over 20 years of legacy data containing billions of records for a critical online services platform upgrade.
Spearheaded the enterprise-wide data platform architecture across La-Z-Boy and Joybird. Integrated Snowflake, DBT, Fivetran, Postgres, Oracle, and MS SQL Server into unified analytical pipelines alongside high-performance Spring Boot microservices on AWS.
Led architecture and implementation for enterprise AI integration frameworks at Ollion. Built custom RAG solutions and automated platform capabilities enabling enterprise clients to securely deploy generative AI onto AWS infrastructure.
Architected dealer finance services portals and connected vehicle cloud platforms at Ally and Ford Mobility. Built Okta IAM integrations, microservices, Kafka streaming pipelines, and serverless architectures across AWS & Azure platforms.
Deep hands-on execution across modern languages, distributed platforms, and cloud ecosystems.
LangGraph, AutoGen, CrewAI, MCP, LlamaIndex, DSPy
pgvector, Qdrant, Pinecone, LangSmith, Ollama, vLLM
Snowflake, Databricks, Apache Iceberg, Kafka, dbt
AWS, Microsoft Azure, Docker, Kubernetes, Terraform
Python, TypeScript, Rust, Java, C++, SQL
Okta IAM, OAuth2/OIDC, Zero Trust, Spring Boot