Most developers build applications.
I enjoy building intelligent systems that scale.
I'm a third-year B.Tech Computer Science Engineering (Artificial Intelligence) student at Vishwakarma Institute of Technology (VIT), Pune, passionate about building AI-powered applications, distributed systems, and production-scale software systems.
My journey combines:
- π» Competitive Programming: LeetCode Knight (1800+) | CodeChef 3β (1602) | Codeforces Pupil (1398)
- π Winner β Allianz Tech Championship 2025 (1st among 8500+ participants)
- π Smart India Hackathon 2025 Grand Finalist
- π₯ 4x Hackathon Winner
- π Data Science & Analytics (Summer Analytics Trainee at IIT Guwahati Γ HackerEarth)
- π Active open-source contributor across CNCF and Linux Foundation ecosystem projects.
- β π€ AI/ML & Distributed Systems Engineering
My goal is simple:
Build intelligent, scalable, and impactful systems that solve real-world problems.
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IIT Guwahati Γ HackerEarth
- β Building end-to-end Machine Learning and Analytics pipelines
- β Applying feature engineering and model optimization techniques
- β Developing dashboards, visualization systems, and data-driven solutions
- β Working alongside a national cohort of analytics enthusiasts
- Worked on AI-driven applications and cloud-based solutions
- Developed scalable backend services and intelligent systems
- Gained hands-on experience with modern AI and cloud technologies
CNCF / Linux Foundation ecosystem
- Contributed 7+ upstream PRs involving CI tooling, documentation, networking, REST API documentation, and developer workflows.
- Collaborated with Podman maintainers through GitHub issues, code reviews, and pull requests, incorporating maintainer feedback and following DCO requirements.
CNCF Kubernetes ecosystem
- Contributed 3 open PRs involving Flux unit testing and Kueue API compatibility/status handling.
- Added 46 Flux tests, implemented Kueue v1beta1 compatibility, and improved
WaitingForReplacementPodsworkload status handling. - Collaborated with project maintainers through GitHub issues, code reviews, and pull requests.
CNCF / Linux Foundation ecosystem
- Contributed 2 PRs involving configurable URL-import limits and conditional prompt rendering.
- Added validation, shared rendering logic, and unit-test coverage while addressing maintainer and automated review feedback.
- Collaborated with project maintainers through GitHub issues, code reviews, and pull requests.
flowchart TD
A[Observe Problems] --> B[Think Deeply]
B --> C[Build Solutions]
C --> D[Iterate Continuously]
D --> E[Create Impact]