I'm a DevOps and Platform Engineer with end-to-end ownership across the product lifecycle—how teams design, ship, deploy, operate, and improve software in production. My day-to-day work sits at the intersection of platform engineering, DevOps, cloud engineering, AI/ML deployments, and MLOps, with a focus on reliability, security, and measurable business outcomes.
What I do today: DevOps, platform engineering, cloud-native architecture, and production ML/MLOps infrastructure. What I've done: architecture design for distributed systems, and operating production platforms under real traffic and commercial load. What I'm building toward: full-stack application development, AI engineering, and stronger software engineering practices—I learn and write code in personal time through side projects and open source. I collaborate closely with product, engineering, and operations teams—on-site, hybrid, or remote, depending on what the role and team need.
🌐 Quick Links: Portfolio · Bio · Blog · DocHub
Outcomes that matter to the business — not tool lists.
| Area | Result |
|---|---|
| Scale | Production systems for a US$160M+ annual business, 10M+ users, 400K+ DAU, and 4× traffic spikes during major sales |
| Reliability | 99.9% availability on mission-critical platforms; 76% MTTR reduction (30 min → 7 min) |
| Code delivery | 40%+ faster code delivery through CI/CD, IaC, and GitOps |
| Savings | US$120K+ cloud cost reduction (30% spend cut); 93% AdTech infrastructure cost reduction by replacing third-party with in-house |
| Revenue platforms | US$90M+ AdTech; US$5M+ POS across 200+ retail stores |
| Current (Monk CI) | Greenfield AI-powered CI/CD SaaS on GCP — up to 80% faster CI; SOC 2 + ISO/IEC 27001–aligned platform; full IaC + GitOps |
Building the production platform for an AI-powered CI/CD SaaS from the ground up on GCP: GitHub App control plane, ephemeral Compute Engine runners, GKE services, distributed caching, and compliance-ready delivery (Terraform, Atlantis, Argo CD, OpenTelemetry).
Impact: Greenfield platform ownership · up to 80% faster CI · SOC 2 + ISO 27001–aligned controls · reusable CI with semantic versioning.
Owned production infrastructure and platform work for India's leading beauty e-commerce company—core commerce, AdTech, POS, data/ML platforms, and legacy admin systems. Hybrid GCP + AWS production (e.g. GKE workloads with Route 53, ALB, VPC, and WAF on AWS for AdTech and edge traffic).
Impact: US$160M+ business backbone · 10M+ users · 40%+ faster code delivery · 76% MTTR reduction · US$120K+ savings (30% cloud spend cut) · 99.9% availability through peak traffic.
Achievement first — full docs →
| # | Project | Business outcome |
|---|---|---|
| 11 | Monk CI – Infrastructure & Compliance | Greenfield AI CI/CD SaaS · up to 80% faster CI · SOC 2 + ISO 27001 |
| 1 | Purplle – E-Commerce Platform | US$160M+ revenue · 10M+ users · 99.9% uptime · 4× spike handling · US$120K+ savings |
| 2 | Purplle – Agentic RAG Sentiment | Faster brand decisions from influencer content · GPU + vector search at scale |
| 3 | Purplle – Data Science Infra | Marketing/ML platform · 50–60% manual-task cost savings |
| 4 | Purplle – Data Engineering Infra | 10M+ users' data to analytics · consumed by DS, Martech, SCM |
| 5 | Purplle – AdTech | US$90M+ revenue · 93% infrastructure cost reduction · in-house replacement for third-party |
| 6 | Purplle – POS (200+ stores) | US$5M+ revenue · 200+ stores · 99%+ uptime |
| 7 | Purplle – Observability | 76% MTTR reduction across 125+ microservices |
| 8 | Purplle – IaC Platform | 40%+ faster code delivery · standardized automation at scale |
| 9 | Purplle – Security & Compliance | Zero-trust across 125+ services · DPDP, ISO 27001, CIS, OWASP |
| 10 | Purplle – Legacy Admin Panels | Business ops without engineering dependency · US$160M+ panel backbone |
Production focus: Terraform, Ansible, Helm, Argo CD, Jenkins, GitLab CI, GitHub Actions · Kubernetes · OpenTelemetry
Cloud platforms (production experience on GCP and AWS):
| Area | GCP | AWS |
|---|---|---|
| Compute & containers | GKE, Cloud Run, Compute Engine | EKS, ECS/Fargate, EC2 |
| Networking & edge | Cloud Load Balancing, Cloud DNS, VPC, Cloud Armor | ALB, Route 53, VPC, WAF |
| Data & messaging | Cloud SQL, Pub/Sub, BigQuery | RDS, SNS/SQS, Athena |
| Identity & secrets | IAM, Secret Manager | IAM, Secrets Manager |
| Observability | Cloud Monitoring, OpenTelemetry | CloudWatch, OpenTelemetry |
Production hybrid: GKE workloads with AWS edge networking (Route 53, ALB, VPC, WAF) at Purplle; current Monk CI platform on GCP. Kubernetes and IaC patterns apply across both clouds.
Data & AI (deployments / infra): MySQL, MongoDB, Redis, Elasticsearch, Kafka, Qdrant, Vertex AI
Security: Zero Trust, RBAC, secrets management, compliance (SOC 2, ISO 27001, DPDP)
Learning & personal time: Python, JavaScript, TypeScript, React, Node.js, FastAPI—full-stack and AI application patterns through side projects and open source.
Personal-time learning and experiments—side projects and open source where I practice full-stack and AI application development.
| Project | What it is |
|---|---|
| Grid Platform | AI-first infra management · docs |
| TrendSignal | AI agent: YouTube trend analysis from a screenshot · MCP, FastAPI, GPT-4 Vision |
| Agility | React + MongoDB task management |
| SocialSplit | Real-time chat · Node.js, Socket.io, React |
| Portfolio / Blog / Bio starters | React templates I built and maintain |
- ✅ Google Cloud Associate Cloud Engineer
- 🎯 Preparing for Google Cloud Professional Cloud Architect
- 📖 Personal Blog — Engineering deep dives
- 🌐 Hashnode — Cloud, platform, and AI
- ✍️ Medium — Technical stories
Technical notes and deep dives—browse everything in DocHub:
| Repository | Content |
|---|---|
| Data Structures & Algorithms | DSA notes and solutions |
| DevOps Handbook | CI/CD, IaC, cloud-native, observability, security |
| Containerization Deep Dive | Docker, Kubernetes, container runtimes |
| Databases Deep Dive | Relational, NoSQL, analytical engines and managed services |
| Networks Deep Dive | Physical layers through cloud-native networking |
| System Design Concepts | Patterns, components, and trade-offs by use case |
| Commands and Cheatsheets | Essential commands and tool references |
| Data Engineering Deep Dive | Pipelines, warehousing, orchestration, platform engineering |
| Data Science & AI Deep Dive | Statistics, ML, deep learning, applied AI |
| Security Deep Dive | AppSec, IAM, cloud posture, forensics, defensive ops |
| Tooling & Frameworks Deep Dive | Frameworks, libraries, SDKs, platforms, toolchains |
Open to DevOps, platform, cloud, and MLOps roles—on-site, hybrid, or remote (India and global).
- 🐦 X (Twitter)
- 🌐 Portfolio · Bio Links