Welcome to my GitHub space! I'm a Software Engineer who writes full-stack code, deploys it securely, leverages AI-driven solutions, ensures reliability, and automates everything in between. Building and operating production-grade infrastructure at scale with a focus on infrastructure automation, observability, security, and system reliability.

Areas of Expertise & Interest:

• DevOps & Platform Engineering
• Security-Focused Software Development
• Cloud-Native Engineering & System Design

🌐 Quick Links:

• Portfolio — kushal.cv — Projects, experience, and technical journey
• Bio Links — thisiskushal31.github.io — Social profiles and important links
• Blog — blog.kushal.cv — Technical deep dives and engineering insights
• DocHub — thisiskushal31.github.io/dochub — Learning notes and resources

I'm dedicated to solving real-world engineering challenges. I'm always exploring modern tools and system designs, and I'm particularly interested in how we can leverage AI to build more robust and efficient systems.

• Engineering Approach: Full-stack development (application logic to infrastructure automation), security-first deployment (zero-trust, automated IAM, secrets management, Kubernetes RBAC), AI-driven solutions (intelligent automation, agentic workflows), reliability engineering (observability, automated incident response), automation-first (IaC, CI/CD, GitOps)

• Core Capabilities: System architecture & design (scalable architectures, IaC, CI/CD, observability), production-grade engineering (zero-trust networking, automated IAM, secrets management, Kubernetes RBAC), cloud-native expertise (Multiple Microservices Distributed Workload on Kubernetes across multi-environment setups)

• Infrastructure & Platform Engineering: Multiple Microservices Distributed Workload on Kubernetes (DEV, SIT, UAT, PROD), 300+ application instances, 200+ self-managed database instances, 4TB MySQL databases, multi-zone deployments, hybrid cloud (GCP + AWS) with Route53, GKE, Cloud SQL, ALB, GCLB, microservices with kubedns service discovery.

• IaC & Automation: Terraform (reusable modules for GKE, Cloud SQL, VPCs, Load Balancers), Ansible (configuration management, system hardening), GitOps as single source of truth, CI/CD modernization (Jenkins scripted pipelines with Slack) — Result: 40%+ faster deployments, 40%+ provisioning tasks automated.

• Database Operations: Minimal downtime migrations (mydumper/myloader for migrations, gh-ost for large table alterations on 4TB MySQL, few hours), automated master/slave management, backup automation (MySQL, MongoDB, Elasticsearch), DR with PITR

• Observability & Monitoring: Unified observability stack (Prometheus, Grafana, GCP Stackdriver) with automated escalation, CI/CD integration (Jenkins + Slack alerts), monitoring 125+ Microservices Distributed Workload and 300+ application instances across multi-environment — Result: 76% MTTR reduction (30min → 7min)

• Security & Compliance: Container security (Kubernetes RBAC, Secure Boot, automated IAM minimization, Trivy scanning), microservices security (Secrets Manager, SSO, IP whitelisting, zero-trust architecture), compliance (DPDP, ISO 27001/27018/27017/27002, NIST, CIS, OWASP)

• AI-Powered Automation: Agentic AI-based Elasticsearch cluster management (n8n, Terraform, Ansible, Python) for streamlined provisioning, lifecycle management, and automated operations

• Languages: Python, JavaScript, C/C++, Bash/Shell, Node.js, React
• Cloud & Infrastructure: GCP (GKE, GCR, GCS, Compute Engine, Cloud SQL, Cloud Functions, VPC, Load Balancer, WAF, Cloud NAT), AWS (Route53, ALB), Docker, Kubernetes (GKE), Container Native Load Balancing
• Infrastructure as Code: Terraform (reusable modules, multi-environment), Ansible (configuration management, system hardening), GitOps workflows
• CI/CD & Automation: Jenkins (scripted pipelines, Slack integration), GitLab CI (automated testing, Trivy scanning), GitHub CI, n8n (workflow automation)
• Databases & Storage: MySQL, Cloud SQL, MongoDB, Elasticsearch, Aerospike, Redis, Memorystore, Kafka
• Monitoring & Observability: Prometheus, Grafana, GCP Stackdriver (unified observability stack with automated escalation)
• Security & Operations: Kubernetes RBAC, Secure Boot, Trivy, Secrets Manager, SSO, IAM automation, Zero-Trust Architecture, Defense-in-Depth, WAF, Geo-blocking, Rate Limiting, Bot Protection
• Fundamentals: Data Structures, Algorithms, System Design, Networking, Operating Systems

Real-world infrastructure projects with technical depth:

👉 View detailed technical documentation → — Architecture diagrams, implementation details, metrics, and business impact

Performance Improvements:

• Deployment Speed: 40%+ faster through IAC automation and CI/CD modernization
• MTTR: 76% reduction (30 minutes → 7 minutes) via unified observability
• Cost Optimization: 30% cloud cost reduction through rightsizing and automation
• Uptime: 99%+ across all production platforms

Infrastructure Scale:

• Microservices Distributed Workload: 125+ workloads managed
• Application Instances: 300+ instances across infrastructure
• Database Instances: 200+ self-managed database instances
• Database Operations: 4TB MySQL with minimal downtime migrations (mydumper/myloader for migrations, gh-ost for large table alterations, few hours)
• Multi-Environment: Consistent deployments across DEV, SIT, UAT, PROD

• ✅ Google Cloud Associate Cloud Engineer
• 🎯 Preparing for Google Cloud Professional Cloud Architect

Sharing knowledge through deep dives and engineering insights:

• 📖 Personal Blog — Cloud-native engineering, DevOps patterns, AI integration
• 🌐 Hashnode — Tech articles on cloud, DevOps, and AI
• ✍️ Medium — Technical stories and engineering insights

Tools and templates for practical use:

Comprehensive technical guides and references:

Interested in technical collaboration?

• 💼 Job opportunities in Platform Engineering, DevOps, or Cloud-Native roles (full-stack code + infrastructure)
• 🚀 Technical collaboration on infrastructure, automation, and platform engineering
• 🌟 Open source contributions and community collaboration
• 💡 Technical discussions on cloud architecture, security, or system design
• 📚 Knowledge sharing and mentoring opportunities

Get in touch:

• 💼 LinkedIn — Professional updates and networking
• 🐦 X (Twitter) — Quick thoughts and tech discussions
• 📧 Email — Technical collaboration and discussions

🌐 More ways to connect: Portfolio | Bio Links