Emmanuel Adebisi
@emmanueladebisi1
Staff software engineer improving large-scale platforms with backend, ML, and AWS.
What I'm looking for
I’m a Staff Software Engineer who’s spent the last several years designing high-performance backend systems that directly move product metrics—whether that’s improving Prime benefit recommendations for 200M+ members at Amazon or scaling AI-driven health experiences at Oscar Health. At Amazon, I led backend and infrastructure work that improved real-time Prime recommendations by 15%, reduced recommendation latency by 25% during high-traffic events, and boosted Prime Day offer-driven sales by 20%.
I also build systems end-to-end: migrating legacy services to AWS to cut infrastructure costs by 30%, strengthening analytics frameworks to improve conversion by 12%, and integrating key mobile experiences. Earlier at Oscar Health, I developed core web and backend technologies, powered an AI claims assistant automating 48,000 investigations annually, and helped deliver virtual care that cut wait times by 90%—while mentoring junior engineers and driving clean, reliable engineering practices.
Experience
Work history, roles, and key accomplishments
Enhanced the Amazon Prime ecosystem for 200M+ members by designing backend systems for ML-driven recommendations, increasing usage by 15% and improving member engagement and retention. Reduced recommendation latency by 25% during Prime Day at scale, integrated personalized Prime Day offers to boost sales by 20%, and migrated legacy systems to AWS to cut infrastructure costs by 30%.
Built and optimized Oscar Health core web and backend systems for 2M+ members, streamlining access to benefits and reducing service response time by 50%. Developed AI-driven claims and virtual care capabilities, automating 48,000 claim investigations annually, reducing member wait times by 90%, and improving provider efficiency by 28%, while enhancing security and authentication with OAuth 2.0.
Education
Degrees, certifications, and relevant coursework
University of Pennsylvania
Master of Science in Computer Science, Computer Science
Completed a Master of Science in Computer Science at the University of Pennsylvania in 2014.
University of Pennsylvania
Bachelor of Science in Computer Science, Computer Science
2010 - 2014
Earned a Bachelor of Science in Computer Science from the University of Pennsylvania from 2010 to 2014.
Tech stack
Software and tools used professionally
Postman
Apache Spark
Apache Flink
GitLab
Kubernetes
Docker Compose
Jenkins
CircleCI
Jenkins X
GitLab CI
Jupyter
Pandas
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Spring Boot
Ruby on Rails
Next.js
Tailwind CSS
Material-UI
Redis
Terraform
AWS CloudFormation
JavaScript
Java
Kotlin
Loki
TensorFlow
PyTorch
scikit-learn
Keras
Kafka
RabbitMQ
FastAPI
Grafana
Prometheus
SQLAlchemy
GraphQL
Elasticsearch
Ansible
AWS Lambda
Serverless
Google Cloud Functions
Azure Functions
Kafka Streams
NGINX
Airflow
SQL
Bash
Enhance
Increase
X++
Availability
Location
Authorized to work in
Job categories
Skills
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