I am a B.Tech Data Science student and Information Technology diploma holder dedicated to building and managing end-to-end cloud and AI-driven solutions. I combine my expertise in architecting resilient, AI-driven observability pipelines with a deep focus on SRE and DevOps practices, engineering automated deployment pipelines and real-time anomaly detection systems. I am driven by an end-to-end perspective, focusing on creating high-performance, scalable, secure, and operationally excellent infrastructure.
Highlights
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LogPulse-AI
LogPulse-AI PublicAn intelligent observability pipeline using Python and the EK Stack (Elasticsearch & Kibana). It leverages NLP (TF-IDF) and Unsupervised Machine Learning (Isolation Forest) to detect anomalies in s…
Python
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incident-response-bot
incident-response-bot PublicAI-Powered Incident Response Bot: A production SRE tool automating log analysis via Python & Docker. It monitors AWS CloudWatch, uses a PII Scrubber for privacy, and leverages Amazon Nova Micro (AW…
Python
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multi-cloud-deployment
multi-cloud-deployment PublicA production-grade DevOps project utilizing Terraform to orchestrate managed Kubernetes clusters across AWS and Azure. Features a self-configuring Nginx gateway with automated failover, passive hea…
HCL
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nova-cost-intelligence
nova-cost-intelligence PublicAI-Powered AWS FinOps Suite leveraging Amazon Nova Micro and Boto3. Goes beyond basic reporting by providing LLM-driven strategic insights, waste prioritization, and executive cost summaries. Built…
Python
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