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 Chase and HIPAA-compliant healthcare at Quality Health Care Group.
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 agentic AI workflow + chat dashboard on Amazon Bedrock and JPMC's CDAO Smart SDK — autonomous Jira ticket completion via job-type-routed agents (extensible across Grafana, SonarQube, ServiceNow SDKs) with extended-thinking validation, plus a developer console surfacing cross-repo context, SEAL/FID credentials, entitlements, and regulatory information through knowledge-base-grounded LLM queries — automating team workflows with a path to firmwide rollout under the firm's AI adoption mandate
- Architected blue-green deployment strategy with automated database migration rollbacks for zero-downtime releases across SOX-regulated banking services
- Designed end-to-end CI/CD pipelines (Jenkinsfile + Spinnaker + custom Git branching) supporting ~1-hour production lead time for backend Django and Java/Spring services
- Built large-scale data processing pipelines on AWS EMR, Kinesis, Glue, and Athena — real-time and batch analytics for cross-team consumers
- 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 test suite as CI/CD quality gate over Django banking-service routes, blocking deployments on regression
- Engineered Celery + RabbitMQ async task processing with multi-layer health-check endpoints for proactive incident detection
- Built backend API routes via Django views and DRF serializers — extending banking services with new endpoints under RBAC + SOX-aligned access controls
Quality Health Care Group Inc.
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 for the Healthcare Compliance Platform (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 — 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 →