About
Overview
I am a Data Architect and AI Engineer currently working at Thermofisher Scientific. I specialize in building production-grade AI systems, multi-agent orchestration, and cloud-native architectures.
Currently leading digital transformation projects while exploring enterprise AI automation, multi-cloud infrastructure, and intelligent workflow optimization. Passionate about social justice, mental health, gender equality, and climate change.
Recent Focus: Built enterprise workflow automation platform demonstrating production AI architecture patterns, achieving $254K annual cost savings through intelligent agent orchestration.
Experience
Thermofisher Scientific Data Architect, Present Leading digital transformation initiatives and building scalable data architectures
Citizens Bank Sr Data Engineer, 2019-Present Build production models adhering to Regulatory rules in collection and Recovery. Performance analysis of Recovery strategies. Gap analysis and systems to streamline processes.
Freddie Mac SQL Developer, 2012-2014 Central warehouse team member developing data pipelines and reporting systems
Projects
Enterprise Workflow Automation Platform with Multi-Agent AI January 2026 - February 2026 | GitHub
Built production-grade AI automation system that reduces manual workflows by 145+ hours/week, demonstrating enterprise architecture patterns for Solutions Architect roles.
Key Achievements:
- Architected multi-agent orchestration using LangGraph with AWS Bedrock (Claude Sonnet 4) for intelligent request triage
- Deployed infrastructure-as-code with Terraform managing 18 AWS resources (DynamoDB, S3, SQS, Lambda, VPC)
- Developed REST API with FastAPI featuring error handling, retry logic, and comprehensive observability
- Implemented Model Context Protocol (MCP) for Slack, Jira, and Salesforce integrations
- Established Prometheus/Grafana monitoring achieving 95% success rate and real-time cost tracking
- Delivered $254K annual savings with 1,325% ROI
Technologies: Python, LangGraph, AWS Bedrock, Terraform, FastAPI, DynamoDB, Docker, Prometheus, Grafana
Machine Learning Projects 2020 | Blog
- Multiclass KNN: K-Nearest Neighbors for supervised learning
- Linear Regression: Predictive modeling with feature engineering
Skills
Cloud & Infrastructure: AWS (Bedrock, DynamoDB, S3, SQS, Lambda, VPC), Terraform, Infrastructure as Code, Multi-cloud
Programming & Frameworks: Python, SAS, LangChain, LangGraph, FastAPI, REST APIs
AI & Machine Learning: AWS Bedrock, Multi-Agent Systems, Machine Learning, Keras, TensorFlow, NLP, Computer Vision
Data Engineering: PostgreSQL, MySQL, ETL Pipelines, Data Architecture
DevOps & Observability: Docker, Prometheus, Grafana, CI/CD
Operating Systems: Windows, Mac OS, Linux
Education
Bachelor of Engineering Instrumentation, Visveswaraya Technological University
Interests
Besides playing with data, I like to cook, run, and kayak. I live in Michigan and love rural Michigan.