Steven User
@stevenuser5
Staff Software Engineer specializing in full-stack, AI/ML, and cloud.
What I'm looking for
I am a proactive, results-driven Staff Software Engineer with over 13 years of experience building scalable full-stack systems for financial, insurance, and healthcare industries across enterprise and startup environments. I specialize in designing microservices, cloud infrastructure on AWS and GCP, AI/ML solutions, and production DevOps workflows to deliver reliable, high-performance products.
I have led cross-functional teams to build AI-driven fraud detection, RAG-based advisory systems, real-time payment and market-data services, and large-scale ETL and streaming pipelines. My technical breadth spans backend (Go, Django, FastAPI), cloud/DevOps (EKS, OpenShift, Terraform, CI/CD), data and ML (Spark, TensorFlow/PyTorch, LangChain), and observability, enabling me to drive end-to-end delivery in remote-first organizations.
Experience
Work history, roles, and key accomplishments
Designed and built scalable microservices and real-time payment/trading services using Django, FastAPI and Go, reducing international wire transfer latency by 40% and supporting 20M+ retail customers; implemented CI/CD, container orchestration and RAG/ML systems to improve fraud detection (30–40% fewer false positives) and operational accuracy.
Senior Software Engineer
Oscar Health
Aug 2012 - Dec 2019 (7 years 4 months)
Led migration from a Ruby monolith to Go microservices for virtual care platforms, improving performance and reliability for 24/7 telehealth services; built real-time notifications, observability and AI-powered search, and deployed systems on GCP with CI/CD pipelines.
Education
Degrees, certifications, and relevant coursework
University of Pennsylvania
Master of Science, Computer Science
2010 - 2012
Completed a Master of Science in Computer Science focusing on advanced topics in machine learning and distributed systems.
University of Pennsylvania
Bachelor of Science, Computer Science
2005 - 2010
Completed a Bachelor of Science in Computer Science with coursework and projects in systems, algorithms, and software engineering.
Tech stack
Software and tools used professionally
OpenAPI
Sidekiq
Splunk
Apache Spark
D3.js
Chart.js
Microsoft Azure
Google Cloud Platform
DigitalOcean
GitHub
GitLab
Bitbucket
Kubernetes
Amazon EKS
Cloudflare
Jenkins
CircleCI
GitHub Actions
React Native
NumPy
Pandas
DB
MySQL
PostgreSQL
MongoDB
MariaDB
Cassandra
Gmail
Node.js
Django
Ruby on Rails
Next.js
NestJS
.NET
Tailwind CSS
Material-UI
three.js
Databricks
Neo4j
Figma
Microsoft Teams
Puppeteer
Redis
Terraform
Pulumi
Azure DevOps
Jira
Gradle
axios
Lodash
JavaScript
ASP.NET
JSON
Blazor
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kafka
RabbitMQ
FastAPI
MongoDB Atlas
Grafana
Prometheus
Linux
New Relic
Datadog
Heroku
Apollo
Trello
ClickUp
Basecamp
GraphQL
JSON API
OData
Firebase
Socket.IO
gRPC
Elasticsearch
Ansible
AWS Lambda
Serverless
Amazon Aurora
Zustand
Vercel
Netlify
monday.com
JUnit
WebRTC
NGINX
Apache HTTP Server
Zapier
IFTTT
Airflow
MobX
SQL
IBM Cloud
Workato
NgRx
SciPy
Integromat
LangChain
LlamaIndex
Pinecone
Harness
Enhance
Availability
Location
Authorized to work in
Job categories
Skills
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