MSc in Computer Science at the University of Western Ontario. My journey into the world of open-source software began in late 2022, and I quickly fell in love with it, prompting me to consistently contribute to open-source projects ever since ❤️ I mostly contribute in Kubernetes, Infra, Observability, Cloud, and DevOps-related tools and software.

View my resume here.

Opensource Software Engineer (Aug 2024 - Present) | Internship (May - July 2024) | G-Research OSS Project Link: https://github.com/G-Research/yunikorn-history-server

Yunikorn History Server (YHS) is a historical log management plugin for the K8s cluster that uses apache/yunikorn as the scheduler.

1. Implemented logging mechanism using zap
2. Complete Helm Chart for YHS
3. Implemented performance test using K6
4. E2E testing of the webservice and event listener modules.
5. Also worked on ci/cd, endpoint implementations, documentation, unit tests and participated in project management and peer review.
6. List of PRs: is:pr author:sudiptob2 is:merged

MLH Fellowship | Apace/Airflow Project Link: https://github.com/apache/airflow

1. Migrating to Connexion version 3
2. Enhancing logging functionality of Kubernetes Pod Operator (KPO)
3. Open PR: apache/airflow#37638

GOOGLE SUMMER OF CODE 2023 | GCP SCANNER Project Link: https://github.com/google/gcp_scanner

1. Enhanced test coverage by incorporating new unit tests, resulting in a 10% increase in overall coverage.
2. Did significant refactoring effort for the crawling module to enhance modularity and promote the ”Don’t Repeat Yourself” principle.
3. Expanding the capabilities of the application by enabling it to scan a wider range of GCP resources, thereby broadening its potential use cases.

KEPTN LIFECYCLE TOOLKIT | CNCF Project Link: https://github.com/keptn/lifecycle-toolkit

1. Contributed approximately 700 lines of code to the project while implementing new features, bug fixes, and writing unit tests in Golang.
2. Implemented Datadog metric provider integration. PR link: #948
3. Collaborated on the development and enhancement of documentation materials.

CF STATS | PERSONAL PROJECT Project Link: https://github.com/sudiptob2/cf‐stats

1. Utilized GitHub action to generate real-time Codeforces user stat card and badges for readme files.
2. Implemented Python design patterns to facilitate the consumption of Codeforces API in a scaleable manner.
3. Applied Pytest for feature-level unit testing and implemented GitHub Actions for appropriate test pipeline execution.
4. Created proper documentation and followed open-source best practices such as branch naming conventions, commit messages, issue tracking, etc.
5. Has 100+ ⭐ on the repo.

Some other notable open-source projects and contributions ChkWareCLI, LeetEasy, jx-promote etc.

⚡ Github Stats

📈 Competitive Programming

• Scaling Kubernetes workloads using HPA + Prometheus + Keptn Metrics
• Before you start kubebuilder.io; Writing a simple custom K8s operators
• My 1-week GoLang preparation
• Properly Setting Up React Development Environment Using Docker