Summary
Overview
Work History
Education
Skills
Timeline
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Vibhav Kanyadan

Cary

Summary

Accomplished Software Development Engineer with a proven track record at MetLife, specializing in full-stack development, and demonstrating expertise in JavaScript and Python. Achieved an 87% accuracy rate for a financial forecasting model, showcasing strong analytical skills, while also creating user-friendly dashboards for diverse stakeholders. Proficient in agile project management, and driving innovation across multiple projects. Committed to leveraging machine learning and artificial intelligence to enhance software solutions.

Overview

5
5
years of professional experience

Work History

Software Development Engineer

Metlife
Cary
07.2024 - Current
  • Built a MetLife-native application using React to replace Airkit.io for Statement of Health (SOH) administration. Application features include a dashboard with the ability to filter on customer ID, set up new customers, and view or modify client invite status.
  • Created a Rest API service for SOH admin application using Nest.js, along with server-side data processor endpoints retrieve data from MongoDB and endpoints to share data with the client interface’s backend-for-frontend layer.
  • Wrote unit tests for SOH Admin user interface and API using Jest, and utilized Veracode for security flaw identification and patches during application builds. Took part in deployment of application and CI/CD Pipelines.

Software Engineering Intern

Cisco Systems, Inc.
San Jose
05.2023 - 08.2023
  • Enhanced visual summary of recurring revenue metrics for renewals’ managers by creating a trend analytics dashboard using TypeScript and Angular.js with filters for region, contract type, date snapshot, and revenue range
  • Led intelligent financial forecasting and prediction for recurring revenue growth by building/training a TensorFlow model in Python with 87% accuracy.
  • Deployed an adaptive card chatbot using model to alert renewals managers with predictive real-time contract management recommendations.

Associate Software Engineer

Liquid Analytics
01.2023 - 05.2023
  • Optimized the performance of data and operations tenfold by creating, testing, and implementing goal distribution algorithms within the PostgreSQL database, utilizing Rust, the Polars API, and Apache Arrow.
  • Boosted data ingestion to AWS S3 by 15% through automation and DuckDB in a Linux VM to ensure organized and consistent storage of Parquet and log files.

Associate Software Engineer

Mohawk Industries
Calhoun
07.2020 - 06.2021
  • Improved flooring products categorization and ease of search across the omni-channels of retail, dealers, B2B, and B2C through integration with modern web services by creating REST APIs from legacy COBOL and RPG code.
  • Created JavaScript-based email advertisement tools to hyper-automate marketing campaigns and scale to larger audiences, resulting in a 5% repeat customer rate.

Education

Bachelor of Science - Computer Science

Georgia Institute of Technology
Atlanta, GA
05-2024

Skills

  • Machine learning
  • Artificial Intelligence
  • Python (incl Data Science Libraries)
  • Java
  • JavaScript (Express, Node, React)
  • Rust
  • C
  • C
  • SQL
  • HTML/CSS
  • Version Control (Git)
  • Continuous Integration and Development
  • Cloud Computing Platforms (AWS, GCP, Azure)
  • Agile Project Management and Sprint Planning
  • User story writing
  • Android Studio

Timeline

Software Development Engineer

Metlife
07.2024 - Current

Software Engineering Intern

Cisco Systems, Inc.
05.2023 - 08.2023

Associate Software Engineer

Liquid Analytics
01.2023 - 05.2023

Associate Software Engineer

Mohawk Industries
07.2020 - 06.2021

Bachelor of Science - Computer Science

Georgia Institute of Technology

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Vibhav Kanyadan