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SRE Engineer | Maintainer & LFX'25 CNFC @kubestellar | GSOC'26 @JBoss Community |Devops | AWS SAA |GO | CSE'26
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Student
SRE Engineer
June 14, 2026 – Present
pestvision-ai
April 17, 2026 – Present
pestvision-ai is a computer vision-based agricultural assistance system designed to detect crop pests from images using a trained deep learning model. The application provides real-time inference along with recommended mitigation strategies to support farmers in early pest detection and precision agriculture workflows.
View Projectagrovision-ai
April 17, 2026 – Present
A multi-modal agricultural intelligence platform combining computer vision, remote sensing, and IoT-based data streams to detect & forecast pest infestations in crops. The system leverages convolutional neural networks for pest classification, NDVI-based vegetation analysis, & real-time sensor inputs to enable proactive & datadriven farm management
View Projecthomebrew-kubectl-multi
November 5, 2025 – Present
homebrew-kubectl-multi — GitHub repository
View ProjectVisualEyes
July 2, 2025 – Present
Open-source cloud-native observability platform system & Kubernetes monitoring, AI-powered RCA, alerting, and live CLI dashboard
View ProjectResQCart
June 25, 2025 – August 26, 2025
ResQCart is an AI-powered system that predicts food waste 3-7 days before it happens and automatically triggers a "rescue cascade" to save products, recover revenue, and feed communities.
View Projectclaritty
May 20, 2025 – Present
Claritty is an open-source AI-SRE platform for Kubernetes clusters. It combines real-time cluster telemetry with a 6-stage AI agent pipeline to automatically detect, diagnose, and remediate incidents, reducing MTTR.
View Projectkubestellar
November 3, 2022 – Present
KubeStellar - a flexible solution for multi-cluster configuration management for edge, multi-cloud, and hybrid cloud
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for technology, particularly in the cloud-native and AI/ML spaces. The diversity of personal projects, ranging from multi-cluster management to AI-powered waste prediction and agricultural intelligence, indicates a broad intellectual curiosity and a drive to build. This aligns well with a culture that values innovation, continuous learning, and hands-on problem-solving. The focus on open-source projects also suggests a collaborative mindset. However, the lack of professional experience beyond 'Student' means there's no direct evidence of fitting into a corporate team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, with a strong inclination towards open-source contributions and complex problem-solving. The focus on AI-SRE platforms suggests an interest in automation and advanced operational strategies. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity in a professional setting cannot be fully assessed.