Software Engineer @ FIS (FinTech), Building scalable distributed bakend systems | Data Structures & Algorithms
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Fidelity National Information Services
Data Scientist
June 20, 2026 – Present
Competitive-programming-books
April 9, 2024 – April 9, 2024
Competitive-programming-books — GitHub repository
View Projectsystem-design-resources
November 8, 2023 – November 8, 2023
Awsome System Desing Resources for High Level Desing (HLD) interview preparation.
View ProjecteCommerce-microservices
September 30, 2023 – October 2, 2023
Implement inter-service communication using discovery server, implement service based routing through API Gateway, implement authorization and authentication using keycloak, implement circuit breaker, and using docker for containerization
View Projectwikimedia-kafka-data-streaming
July 7, 2023 – October 1, 2023
Kafka program to ingest wikimedia's real time streaming data into MySQL for data analytics
View ProjectBookHive-online-library-app
May 17, 2023 – August 22, 2023
Bookhive is a user-friendly reading companion app. With an extensive collection of books, users can effortlessly search for their favorite titles and track their reading progress.
View Projectsnappy-chat
May 12, 2023 – October 1, 2023
Snappy is a real time chat application based on socket.io for communication between multiple clients.
View Projecthubconnect-app
April 25, 2023 – May 6, 2023
Stay in touch with your Gihub connections outside of GitHub.
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and show a strong inclination towards backend development (microservices, REST APIs) and some data engineering aspects. While there's a Data Scientist role listed, the project diversity leans heavily towards software development rather than pure data science research, modeling, or advanced analytics. The 'Competitive-programming-books' and 'system-design-resources' projects indicate an interest in foundational computer science and system architecture, which can be beneficial but might not directly align with a pure data science cultural fit without further evidence.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.