Experience

Software Development Engineer @ Yardi

August 2024 - Present

Part of the cloud Dev/Infra team at Yardi which builds/deploys real estate products like Voyager, Rentcafe, and many more
Handling end-to-end product deployments using Kubernetes and Helm Charts, optimizing multi-layer Docker builds, and monitoring/troubleshooting active clusters/pods for products like Rentcafe and WeWork
Designed a dashboard in Redash that monitors real-time costs of 350K+ phone numbers used by Rentcafe clients throughout the NA region, wrote C#/.NET scripts to pull data through Twilio and Bandwidth APIs

May 2023 - August 2023

Engineered a 5G/LTE Switch Config application in Python for CommScope's OneCell LTE/5G architecture using RUCKUS vSmartZone APIs to streamline switch port connections, effectively reducing 83% in setup time
Collaborated on designing intelligent scheduling algorithms in C using Intel OpenVINO deep learning framework for orthogonal frequency distribution across CommScope's OneCell switches
Devised a Snapshot Backup solution in Kubernetes pods using TimeShift that creates automated restore points to mitigate potential failures during UNIX-based OS release updates

November 2020 - July 2024

Developed a full-stack Currency management and analytics dashboard for open-source libraries on IBM's ppc64le architecture, utilizing FastAPIs, MongoDB and Elasticsearch for a scalable backend architecture
Crafted a responsive and user-friendly UI for the Currency dashboard using the React framework, streamlining seamless interactions to create PRs, manage and port open-source packages on the IBM Power8 platform
Designed the BulkSearck tool in Python to validate the compatibility of OSS packages on IBM's Power8 servers using Docker containers and Jenkins jobs, resulting in a remarkable 95% reduction in the team's workload
github.com/ppc64le/build-scripts : Contributed to open-source development by reviewing 40+ PRs and publishing build scripts for RHEL-based OS for libraries and plugins to run smoothly on IBM's architecture

August 2020 - November 2020

Developed the Wind Shear Application using R, Shiny and AWS Stack, which is used by Wind Engineers to predict windspeeds from 50,000+ lines of daily CSV data
Deployed Machine Learning models like XGBoost and Regression Trees on AWS stack using EC2 instances and Lambda functions, transitioned data storage from S3 to RDS for improved data handling and model training

May 2020 - August 2020

Design and developed a backend system in Django to check reconciliation status for 100,000+ transactions of different business entities
Worked on an API-Hub which provides uniform and secured handling of API push/pull requests from 5+ different data formats like JSON, XML, CSV, etc.

Head over to resume.vedang.dev for my resume.