Peter Rusanoff

• Team lead and Scrum master for a team of 6 developers
• Working on Optum financial Event sourcing CQRS TypeScript Graph QL back-end focusing on Reconciliation, Sweeps and KYC vetting.
• Evaluated and developed new tooling and technologies to help achieve company-level goals which made a significantly measurable impact on development time.
• Collaborated with other teams on security, automation and internal tools to write documentation and improve developer experience.
• Made a significantly measurable impact on development time for the team as a whole with the tools created.
• Wrote the majority of the documentation for onboarding, and walk-thought through out the system as a whole
• Integrated services from Lexis Nexis, Stripe, GitHub Copilot, Azure Cosmos, Booster framework, serverless functions / lambda

• Created a self-onboarding widget that would scrape all relevant data from our client's previous platforms such as Booksy, Square, Vagaro, Fresha, Reserva, and Boulevard. The client's information is then loaded into the Squire platform
• Created a full TAM Database of all barbershops across the United States, Canada, United Kingdom, Ireland, and Australia. I utilized multiple sources from YellowPages, Yelp, Google Places, and SafeGraph, FourSquare as well as scraping our competition such as Booksy, Square, Vagaro, Fresha, Reserva, and Boulevard. With that data, we were then able to generate multiple reports and drill into our TAM.
• Worked on multiple backend repositories from Legacy monolith JS to microservices such as Nest JS, Typescript, Prisma ORM, TypeORM, Snowflake, AWS, PostgreSQL, React, Jenkins, and USPS address validation. cleaning messy internal customer data

• Awarded the Fintelligence Team Award at Fractal for successful implementation of Model Monitoring platform as part of a larger MLOP engagement at Verizon wireless.
• Built and implemented components for data scientists, governance teams, marketing, and executives to understand the complexities of collated data.
• Provided key features such as Model Performance & Stability Tracking, Model Explainability, Feature Drift & Monitoring, Bias & Fairness, Model Comparison, Executive View, and Role Based Access Control.
• ingest , analyze, and display AI, Machine Learning data for Model data for millions of records/files
• Performance tracking, Stability Tracking, Feature Explanation, Feature Exploration and Fairness & Bias across multiple types of models
• Using technologies such as PostgreSQL, Express.JS, React, Node.js with Sequelize ORM, ESlint (airbnb) and many more libraries to create a performant application handling millions of records
• Enterprise-wide recognition at several Verizon and Fractal town hall meetings
  

• Business requirements analysis Research, and testing.
• Creation of functional and technical specification documents.
• Building Integrations with sophisticated search engine API's.
• Developed NDC engine and Fare mapping engine saving clients 20%.
• Implemented various complex REST and Soap API's.
• Developed multiple internal applications, integrations and testing.
• Worked with many departments and advised on architecture, design and task planning.
• Continuous build experience in Agile Environment.

• Architected and developed entire MERN stack, deployed and managed on Google Cloud (GCP).
• Product Owner and scrum master for remote team of 8.
• Focused on React enterprise level development environment. Regularly managed and deployed releases.
• Developed Internet search and booking online engine API from multiple complex 3rd party data sources.
• Developed Paypal API integration with military grade encryption.

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