Sringarika Pandey

Sringarika Pandey Email and Phone Number

Senior Software Engineer | Carnegie Mellon University @ Cloudflare

Sringarika Pandey's Contact Details

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Sringarika Pandey's Current Company Details

Cloudflare

Senior Software Engineer | Carnegie Mellon University

Sringarika Pandey Work Experience Details

  • Senior Systems Engineer
    Cloudflare Jan 2024 - Present
    San Francisco, California, Us
    Billing Team
  • Software Engineer
    Papaya Nov 2019 - Nov 2023
    Los Angeles, California, Us
    - Orchestrated the design and implementation of 2 high-impact business critical Java Spring microservices for Papaya’s Payments system, integrating a sophisticated flow-of-funds state machine. The service was responsible for charging/refunding users for bill fulfillment as well as fees. It was deployed on Kubernetes via CI/CD integration on Gitlab. The service helped drive the revenue growth of the company.- Spearheaded the end-to-end engineering process, from designing and documenting a backend subscription API service architecture to overseeing and participating in development. Architected APIs, GraphQL queries, and mutations in Java Spring service backed by MongoDB, in a way that it can be evolved in the future to be used by other internal services. - Led and executed the transition of 2 business critical 3rd party payment integrations within the PHP-based Payments backend system to different 3rd parties. Drove the communications with them to deliver the transition with 0 downtime, while ensuring backwards compatibility. This resulted in a significant monthly cost savings of the company’s bill fulfillment process. - Improved local development infrastructure of the Java Spring service by adding the ability to run it in Docker along with a local image of a sandbox database, thereby allowing a developer to be self-sufficient in testing locally efficiently.- Worked on an early stage Kafka based event-driven system where bill payment, fulfillment, payment method verifications and refunds were triggered by events, which would lead to getting rid of many frequently running and heavy memory using crons that were responsible for doing these tasks.- Reduced average manual refund processing time from 3 months to 7 days by collaborating with Operations and Customer Success Teams by adding new PHP cron jobs responsible for automating refunds and improving the accuracy of existing ones.
  • Software Engineer
    Heal Oct 2017 - Nov 2019
    Los Angeles, California, Us
    - Contributed as a dedicated full-stack Software Developer, actively participating in the development of patient-focused web applications and optimizing internal operational tools.- Spearheaded the development of features on patient-facing React web app, enhancing the patient experience, and a comprehensive operations tool for internal company use.- Led front-end development initiatives, constructing new features through the creation of React components within containers and handling data in the Redux to be consumed by containers. - Maintained and expanded backend APIs using Java Spring Framework and PostgreSQL, playing a crucial role in ensuring data integrity and system reliability.- Developed a sophisticated algorithm to prevent duplicate patient entries in Heal’s system and to reconcile existing duplicates in the backend. This initiative optimized the operational efficiency by reducing and deduping duplicate patients by an impressive 98%, achieving 100% accuracy.- Undertook a critical role in transforming the monolith backend system into microservices, enhancing system scalability and responsiveness.
  • Practicum Student
    Bny Mellon Jun 2017 - Aug 2017
    New York, Ny, Us
    • Designed a web-based analytics platform enabling BNY Mellon technical staff to develop, share and modify Jupyter notebooks that could be executed on Spark with existing corporation datasets• Utilized Apache Solr to support searching capabilities of notebooks, datasets and accessibility relations• Implemented RESTful web services in Undertow servlets integrating Github, Jupyterhub and HDFS APIs • Configured a Cloudera cluster on GCP and deployed the web services with a JupyterHub server

Sringarika Pandey Education Details

  • Carnegie Mellon University
    School Of Computer Science
  • National Institute Of Technology Rourkela
    Computer Science

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