My Experience AT

Amgen

Amgen

At Amgen, I lead the design and delivery of a mission-critical executive notification platform used by CEO, CXO, and internal business workflows.
My work spans backend architecture, event-driven processing, data-platform modernization, performance engineering, and AI-enabled enterprise tooling.
Python
Fastapi Icon Streamline Icon: https://streamlinehq.comFastAPI
PostgreSQL
Redis
AWS
Kubernetes
Docker
React
Grafana
OpenAI
01

Architecture & Platform Engineering

Event-Driven Architecture
Modernized notification processing toward source-triggered, event-driven workflows to improve data freshness and operational reliability.
Consolidated thousands of scheduled workloads using batching and deduplication, reducing compute overhead by 35%.
Defined reusable low-level design patterns for APIs, workers, and services to improve consistency across repositories.
Data & Performance Optimization
Led access-pattern analysis and migrated appropriate workloads from DynamoDB to PostgreSQL, improving query performance and data integrity.
Reduced critical API latency from approximately 10 seconds to 1-2 seconds through Redis caching, PostgreSQL tuning, and targeted indexes.
Decoupled application and infrastructure deployment manifests, enabling independent releases and reducing deployment-related code changes.
Technical Leadership
Lead a team of engineers through architecture reviews, sprint planning, implementation decisions, and production releases.
Partner with product and design to improve executive workflows, including a 60% page-load performance improvement.
02

Enterprise AI & Developer Productivity

Applying AI as both an enterprise capability and an engineering productivity tool.

AI-Powered Insights
Developed AI-powered insight workflows that combine enterprise data, domain-specific business rules, and LLMs to support executive decision-making.
MCP Integrations
Built custom MCP tools that enable ChatGPT to securely access internal enterprise systems through natural-language requests.
AI-Assisted Engineering
Use AI-assisted workflows for refactoring, code review, and repetitive engineering tasks, with production validation and human review built into the process.