Welcome to my GitHub space! I'm an Experienced Software Engineer—I work across large-scale distributed and non-distributed production infrastructure, end-to-end from design through monitoring and reliability, with a focus on security, reliability, and scalability. I can build and have scaled product from MVP to full large-scale infrastructure. I automate what can be automated in between. I have end-to-end ownership across the full product lifecycle: design → build → deploy → operate → monitor → iterate.

• Full-stack — Write scalable code and system design; architecture design; deploy securely, automate everything in between; design for reliability and scalability
• System design & large-scale infrastructure — Scalable architectures, distributed systems, trade-off-driven design. From 0–1 and 1,000 to 100,000+ daily active user applications; production systems that stay up, critical applications with clear trade-offs.
• DevOps — CI/CD, observability, and automation that improve developer experience; incident response and on-call; cost and efficiency. Faster delivery, lower MTTR.
• Databases & data — Data stores—design, reliability, performance
• ML applications & AI-driven automation — Deploy production AI, MLOps, RAG, and data science pipelines; build and run agentic workflows; intelligent automation and AI-augmented delivery to sharpen developer productivity
• Across the stack — Public-facing, data-driven, ML, and non-public-facing or security applications; I've worked across them
• Greenfield & brownfield — Building from scratch or managing and evolving legacy applications

Areas of Expertise & Interest:

• DevOps & Platform Engineering
• Security-Focused Software Development
• Cloud-Native Engineering & System Design
• AI/ML Infrastructure & Agentic Workflows
• AI-Driven Automation & Agentic Workflows

🌐 Quick Links:

• Portfolio — kushal.cv — Projects, experience, and technical journey
• Bio Links — bio.kushal.cv — 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.

What I can do — in one place. End-to-end ownership from design to production.

• Infrastructure & scale: Run production systems that stay up. 125+ microservices, 300+ application instances, 4TB MySQL, hybrid cloud (GCP + AWS). Multi-environment (DEV, SIT, UAT, PROD), GKE, Nginx/Apache, load balancers, VPC, zero-downtime migrations (mydumper/myloader, gh-ost). Business impact: ₹700 Crore+ revenue backbone, 7M users, 99%+ uptime, 4x traffic spike handling.

• System design: Scalable and distributed system architecture—high availability, scalability patterns, disaster recovery, and trade-off-driven design. From application logic to infrastructure; built to grow.

• Data-driven applications & pipelines: Build and operate data-driven pipelines that move 7M users' data (PII-handled, legal, anonymous) from MySQL to BigQuery/BigTable. Event-driven (Cloud Function → Dataflow → ETL) and time-driven (Composer DAGs). Kafka, Pub/Sub, DAG sync; consumed by business teams, Data Science, Martech, SCM, legacy panel. Infra only; DE owns warehousing and ETL logic.

• Data science & AI infra: Support the ₹700 Crore revenue marketing engine with vector DB (Qdrant), Vertex AI, embeddings, and recommendations. 50–60% cost saving on manual tasks. RAG/sentiment platform: semantic search over influencer content, decision support for brand teams; K8s, GPU pipeline, CI/CD — infra only, no application/RAG code.

• AI-driven workflow automation & agentic workflows: Intelligent automation and agentic AI (e.g. MCP, n8n, LLM-backed tooling) for provisioning, lifecycle management, and operations. Use AI to sharpen delivery, reduce toil, and improve how systems are run.

• Observability & reliability: Unified Prometheus + Grafana stack, real-time alerting, CI/CD integration, automated escalation. 76% MTTR reduction (30min → 7min) across 125+ microservices. So teams see issues first and fix faster.

• IaC & automation: Terraform, Ansible, GitOps (ArgoCD). Reusable modules for GKE, Cloud SQL, VPCs, load balancers. Single source of truth; 40%+ faster deployments, 40%+ provisioning automated. Jenkins, GitLab CI, Slack.

• Security & compliance: Zero-trust architecture, automated IAM minimization, Kubernetes RBAC, Trivy, Secrets Manager, SSO. 100% coverage across workloads. DPDP, ISO 27001, NIST, CIS, OWASP.

• Legacy & modern together: Revenue management panel backbone so business teams run operations (banner, campaigns, Martech, logistics) without technical intervention. Legacy PHP monolith + internal load balancer + distributed K8s; one panel, infra-only ownership.

• AdTech & high-traffic platforms: In-house AdTech for ₹400+ Crore revenue, 93% cost reduction, 4x traffic spike handling. POS for 100+ retail stores, ₹40+ Crores revenue, 99%+ uptime. Multi-cloud, Kafka, Redis, real-time processing.

• Languages: Python, JavaScript, TypeScript, C/C++, Bash/Shell, Node.js, React
• APIs & Backend: FastAPI, MCP (Model Context Protocol), GCP Cloud Functions, REST APIs
• Cloud & Infrastructure: GCP (GKE, GCR, GCS, Compute Engine, Cloud SQL, Cloud Functions, VPC, Load Balancer, WAF, Cloud NAT, BigQuery, Pub/Sub, GCP Composer), AWS (Route53, ALB), Docker, Kubernetes (GKE)
• Infrastructure as Code: Terraform, Ansible, GitOps (ArgoCD, Helm), reusable modules, multi-environment
• CI/CD & Automation: Jenkins (scripted pipelines, Slack), GitLab CI, GitHub Actions, n8n
• Databases & Storage: MySQL, Cloud SQL, MongoDB, Elasticsearch, Redis, Qdrant, Kafka, BigQuery
• Monitoring & Observability: Prometheus, Grafana, GCP Stackdriver, PagerDuty
• Security & Operations: Kubernetes RBAC, Trivy, Secrets Manager, SSO, IAM, Zero-Trust, Defense-in-Depth, WAF
• Fundamentals: Data Structures, Algorithms, System Design, Networking, Operating Systems

Real-world infrastructure — business impact first.

1. Purplle – Large-Scale E-Commerce Infrastructure
   Mission-critical infra for ₹700 Crore revenue and 7M users. 125+ microservices, 300+ instances, 4TB MySQL, 99%+ uptime, 4x traffic spike handling. Nginx distributed reverse proxy; Apache VM-based application; minimal-downtime migrations (mydumper/myloader, gh-ost).

2. Purplle – Agentic RAG Sentiment Platform
   RAG-based platform for influencer content: semantic search and decision support for brand teams. Infra only: K8s, GPU embedding pipeline, Qdrant, CI/CD. Faster time-to-insight; no application/RAG code owned by infra.

3. Purplle – Data Science Infrastructure
   Infra for the ₹700 Crore revenue marketing engine. Data engineering and storefront serve brands and marketing; 50–60% cost saving on manual tasks. Vector DB (Qdrant), Vertex AI, CI/CD, network — infra only.

4. Purplle – Data Engineering Infrastructure
   Pipeline for the ₹700 Crore revenue backbone. 7M users' data (PII-handled, legal, anonymous) flows to BigQuery/BigTable; consumed by business teams, Data Science, Martech, SCM, legacy panel. Event-driven and time-driven ingestion; zero-trust infra.

5. Purplle – AdTech Platform
   In-house AdTech: ₹400+ Crore revenue, 93% cost reduction, 4x traffic spike handling, 7M users. 100+ production services, multi-cloud (AWS Route53 + GCP GKE).

6. Purplle – POS Platform for 100+ Retail Stores
   High-availability POS: 100+ stores, 500+ daily users, ₹40+ Crores revenue, 99%+ uptime. Kafka + Redis; scalable infrastructure.

7. Purplle – Unified Observability Stack
   Centralized monitoring and alerting: 76% MTTR reduction (30min → 7min) across 125+ microservices. Prometheus + Grafana, real-time alerting, CI/CD integration.

8. Purplle – Infrastructure as Code Platform
   Terraform + Ansible, GitOps as single source of truth. 40%+ faster deployments, 40%+ provisioning automated; standardized IAC across 125+ microservices.

9. Purplle – Security Hardening & Compliance
   Zero-trust architecture, defense-in-depth across 125+ microservices. Kubernetes RBAC, Trivy, Secrets Manager, SSO, IP whitelisting. Compliance: DPDP, ISO 27001, NIST, CIS, OWASP.

10. Purplle – Legacy Admin Panels Infrastructure
    Backbone of the ₹700 Crore revenue management panel. Business teams run operations (banner, campaigns, Martech, logistics) without technical intervention. Legacy PHP monolith + internal LB + distributed K8s; infra only.

👉 View detailed technical documentation → — Architecture, implementation details, and metrics.

These sit outside my day-job scope—I do them in personal time as POCs and proof of ability: I also write and ship code. Ongoing open source plus side projects and templates.

• ✅ 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

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