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.
- Brought a business-critical web application (9 independently-released components) into compliance with firm engineering standards via shallow/deep health checks (Cloud Foundry liveness/readiness probes), a post-deployment validation (PVT) gate, and previously-missing Prometheus telemetry.
- Architected an in-process AI sidecar integrating three Bedrock models (Haiku/Sonnet/Opus) for pre-release automation planning, with per-row model-version audit stamping and deterministic fallback paths, reducing a 55-step manual release checklist to approximately 60-70% automatable.
- Built Django ingestion pipelines that decode approximately 2,200-row spreadsheet extracts into normalized relational tables using immutable dataclass patterns and atomic transactions, with parallel multi-tab processing (ThreadPoolExecutor) and a routing service layer.
- Led a relational schema cut-over across legacy, API, and frontend layers with an authoritative naming map, sequenced migrations, and rollback-aware cut-over plans verified against production row counts.
- Engineered Kerberos/GSSAPI database connectivity (Oracle, MySQL) and eliminated multi-day cross-team DBA wait times by assuming application role entitlements for direct database access.
- Designed CI/CD pipelines (Jenkins, Spinnaker) with blue-green deployments and proven automated rollback, standardizing declarative pipeline templates across 9 repos for zero-downtime releases.
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
Cheap models decide yes/no; hard questions climb a ladder. Production pattern from the Healthcare Compliance Platform: multi-model Bedrock routing cut monthly inference costs 78% on HIPAA-regulated document processing. Explore how different request types flow through the tier ladder.
Rates shown are illustrative for tier comparison, not published pricing. Current rates: aws.amazon.com/bedrock/pricing
Selected projects
Healthcare Compliance Platform: production GenAI on HIPAA infrastructure. ARC Modality: multi-tenant AI infrastructure built as independent R&D. Plus earlier social-media + cloud work at Xoobug.
Certifications & Credentials
Currently pursuing the AWS Certified Generative AI Developer Professional cert; target June 2026.
AWS Certified Generative AI Developer Professional
In Progress, target June 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 →