Hello there! I'm Daksh
I'm a software developer, GSoC 2026 mentee, and active open-source contributor who enjoys building cloud-native products at the intersection of backend systems, DevOps, and applied AI.
I'm pursuing Instrumentation Engineering at Netaji Subhas University of Technology and Machine Learning at IIT Madras, while contributing to TENeT, OpenSSF Minder, Kyverno, and Kubernetes-focused tooling in Go, Python, React, and TypeScript.
Experience
May 2026 - Present
Google Summer of Code
GSoC 2026 Mentee
Alaska (University of Alaska) - TENeT · Remote
Selected for Google Summer of Code 2026 with the Alaska organization for TENeT, the Telehealth Effectiveness and Necessity Tracker.
Building the TENeT platform end-to-end using Python, Docker, React, and TypeScript.
Working as first author on the TENeT research paper.
Mar 2026 - Present
Minder - OpenSSF (LFX)
OpenSSF Member
Securing open source software supply chains
Actively contributing to Minder, an OpenSSF project under LFX focused on securing open source software supply chains.
Worked on testing and Rego policy logic to improve reliability and policy validation workflows.
Collaborated through the open source contribution process to review issues, submit improvements, and align changes with project standards.
Jan 2026 - Mar 2026
CNCF (Kyverno)
Open Source Contributor
Cloud-native policy engine contributor
Contributed to the Kyverno policy engine, successfully merging multiple pull requests into the main branch focused on improving unit tests and fixing bugs.
Implemented and validated CEL (Common Expression Language) expressions to enhance policy validation logic.
Collaborated with maintainers via GitHub and Slack to resolve issues while adhering to cloud-native best practices.
Aug 2025 - Dec 2025

Netaji Subhas University of Technology
Undergraduate Research Assistant
Research on Mobile Charging Systems/Infrastructure · Delhi, India
Conducted research on Mobile Charging Systems/Infrastructure, focusing on efficiency, wireless protocols, and hardware-software interfacing.
Analyzed power delivery metrics using MATLAB and Python to optimize power delivery under varying load conditions.