What started as Java debugging in a college coffee shop became 6+ years shipping production systems. I build backend services in Python and Java, cloud infrastructure on AWS, and multi-model LLM architectures on Bedrock — with the guardrails, cost budgets, and observability that hold up under real traffic. My instinct is toward systems that operate themselves and AI that ships to real users, not demos.
LinkedIn Profile
Professional Experience
Two tenures across regulated workloads — SOX-compliant banking at JPMorgan and HIPAA-compliant healthcare at QHCG.
JPMorgan Chase & Co.
Software Engineer (Banking)
April 2024 - Present
Platform engineering across private and public cloud for SOX-regulated banking services. Jenkins, Spinnaker, Terraform, AWS (Lambda, ECS, Step Functions), Cloud Foundry.
- Architected blue-green deployment strategy with automated database migration rollbacks, enabling zero-downtime releases and high availability across dev/staging/production pipeline for SOX-regulated banking services
- Designed end-to-end CI/CD pipelines using Jenkinsfile and Spinnaker with custom Git branching model, supporting ~1-hour production deployment lead time for backend Django and Java/Spring services
- Deployed LLM-powered semantic search using Amazon Bedrock and S3-backed vector embeddings against production banking data, establishing a reusable multi-model deployment pattern adopted firm-wide
- Provisioned AWS Lambda, ECS tasks, and Step Functions workflows with Terraform (IaC), automating cross-account event handling via EventBridge and SNS alerting
- Integrated PyTest integration tests covering Django infrastructure routes as CI/CD quality gate, blocking deployments on failure and reducing change failure rate
- Engineered Celery + RabbitMQ async task processing with multi-layer health-check endpoints, enabling proactive incident detection and faster recovery
- Built backend API routes via Django views and Django REST Framework serializers, extending banking services with new endpoints while enforcing RBAC and SOX-aligned access controls
- Drove SOX compliance through automated testing pipelines, secrets audits, and failover runbooks
Quality Health Care Group Inc.
Senior Software Engineer (Healthcare)
June 2018 - April 2024
Sole-developer build of HIPAA-aligned healthcare platform. Django REST Framework + React/TypeScript → Cloud Build (19-step CI/CD) → GCP/AWS.
- Architected HIPAA-aligned healthcare platform end-to-end (Django REST API + React/TypeScript) and built a 19-step Cloud Build CI/CD pipeline with automated rollback management and distributed locking, eliminating concurrent-deploy race conditions
- Engineered JWT authentication with RBAC across 4 clinical role tiers (Nurse, Supervisor, Admin, Support), token rotation, blacklisting, and comprehensive audit trails with 7-year retention for HIPAA compliance
Multi-Model Routing
Side project exploring cost/latency tradeoffs across 2026's Bedrock lineup — Claude Sonnet 4.6, Opus 4.7, Haiku 4.5, Nova 2 Pro, Nova 2 Lite. Pattern carried over from the production multi-model router I built at Quality Health Care Group (Bedrock Claude + Titan), which cut monthly inference costs 78% on HIPAA-regulated healthcare document processing. Select a scenario to see how routing decisions play out for different request shapes.
Select a use case to see recommendations.
Selected projects
Healthcare compliance platform at QHCG — production GenAI on HIPAA infrastructure. Plus earlier social-media + cloud work at Xoobug.
Certifications & Credentials
Currently pursuing the AWS Certified Generative AI Developer Professional cert; target May 2026.
AWS Certified Generative AI Developer — Professional
In Progress — target May 2026Exam code AIP-C01. Covers foundation models, multi-model orchestration, Bedrock integration patterns, prompt engineering, RAG architectures, responsible AI, and production GenAI deployment.
AWS exam details →