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Tejas Patil

@tejaspatil5

Full Stack Developer at CDAC Chennai who built Meghdoot’s cloud management platform and an AI-powered predictive autoscaling system.

India

Message

At CDAC Chennai, I own full-stack development of the Meghdoot Cloud Management Platform, bringing VM, network, and Kubernetes management together through a React frontend and Django REST APIs.

I designed its RBAC approval workflow, which reduced manual provisioning effort by 70%, and built JWT authentication with e-Pramaan SSO. I also improved backend API performance by 35–45% through lazy loading, Redis caching, and query optimization.

For the AI-powered predictive autoscaling system, I built a forecasting agent that uses Prometheus and infrastructure telemetry to anticipate compute demand. Its predictions work alongside AlertManager triggers and OpenStack Heat templates to support scaling decisions.

I’ve also built real-time monitoring dashboards for cloud infrastructure and enterprise WiFi, using Prometheus, Grafana, Chart.js, and Recharts to surface system health, authentication activity, and usage trends.

Experience

Work history, roles, and key accomplishments

Current

Meghdoot Cloud Management Platform (CMP)

Current

CDAC Chennai

Apr 2025 - Present (1 year 5 months)

Architected an enterprise full-stack dashboard for unified lifecycle management of VMs, networks, floating IPs, and Kubernetes resources, exposed via REST APIs consumed by a React frontend. Designed RBAC-based resource request and approval workflows; automated VM provisioning and credential delivery, cutting setup time by 60–70%.

React Django PostgreSQL REST APIs RBAC Docker Kubernetes Prometheus Grafana Linux

Current

Project Associate – Cloud & Full Stack Engineer

Current

Meghdoot Cloud Management Platform & AI Autoscaling System

May 2023 - Present (3 years 4 months)

Owned full-stack development of the Meghdoot CMP (React + Django), building REST APIs and a PostgreSQL data layer for unified management of VMs, networks, routers, and Kubernetes clusters. Designed and shipped a multi-level RBAC approval workflow, reducing manual provisioning effort by 70% and enforcing governance at every request stage.

React Django REST APIs PostgreSQL RBAC JWT SSO Docker Kubernetes OpenStack Prometheus Grafana AlertManager Redis CI CD Linux

AI-Powered Predictive Autoscaling System

CDAC Chennai

Jan 2024 - Dec 2025 (1 year 11 months)

Built an ML-based forecasting agent that processes multi-source telemetry (Ceilometer, Libvirt, Node, OpenStack exporters) through Prometheus to predict compute load spikes before they occur. Designed a dual-trigger autoscaling pipeline — AI agent for predictive scale decisions, AlertManager for reactive threshold alerts — both feeding into OpenStack Heat template orchestration.

Machine Learning Time series Forecasting Prometheus Ceilometer OpenStack AlertManager Heat Templates Python

Real-Time RADIUS Server Monitoring Dashboard

CDAC Chennai

Jun 2023 - May 2024 (11 months)

Built a full-stack real-time dashboard to monitor RADIUS server performance, authentication events, and session metrics for enterprise WiFi infrastructure. Visualized authentication rates, failure trends, and session concurrency using Chart.js and Recharts; enabled proactive alerting for anomalous login patterns.

React Chart.Js Recharts RADIUS Real time Monitoring Data Visualization

Secure WiFi Management Dashboard

CDAC Chennai

May 2023 - Nov 2023 (6 months)

Developed a security dashboard to track WiFi client sessions, MAC addresses, access control events, and security logs. Improved network visibility and security monitoring capability by 60% through real-time data visualization and anomaly flagging.

React Data Visualization Security Monitoring WiFi Anomaly Detection