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:

• 💻 Competitive Programming: LeetCode Knight (1800+) | CodeChef 3★ (1602) | Codeforces Pupil (1398)
• 🏆 Winner — Allianz Tech Championship 2025 (1st among 8500+ participants)
• 🚀 Smart India Hackathon 2025 Grand Finalist
• 🥇 4x Hackathon Winner
• 📊 Data Science & Analytics (Summer Analytics Trainee at IIT Guwahati × HackerEarth)
• 🌍 Active open-source contributor across CNCF and Linux Foundation ecosystem projects.
• ⁠🤖 AI/ML & Distributed Systems Engineering

My goal is simple:

Build intelligent, scalable, and impactful systems that solve real-world problems.

IIT Guwahati × HackerEarth

• ⁠Building end-to-end Machine Learning and Analytics pipelines
• ⁠Applying feature engineering and model optimization techniques
• ⁠Developing dashboards, visualization systems, and data-driven solutions
• ⁠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 WaitingForReplacementPods workload 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]