DevOps & Infrastructure Engineer with 10+ years building large-scale CI/CD platforms, cloud-native infrastructure, and AI deployment tooling. I specialise in turning complex infrastructure challenges into elegant, automated, observable systems — and increasingly, bridging DevOps with GenAI and agentic AI tooling.
- 🔧 Architected a Jenkins-as-a-Service platform handling 2M+ monthly CI/CD jobs across 2,500+ pipelines at Intel
- ☸️ Deployed and managed 50+ Jenkins hosts on Kubernetes via Terraform & Helm with 99.995% uptime SLO
- 🤖 Built CTH.ai — an LLM & IDE-agnostic AI Hardware Design Kit with MCP servers, Claude Skills, and GitHub Copilot
- 🛠️ Created an AI SDK empowering 10+ product teams and 100+ developers to build custom agents, skills, and prompts
- ⚡ Delivered 30-minute Disaster Recovery for 30+ Jenkins controllers during a live production incident
- 🏆 Recipient of 40+ Org-Level Awards at Intel · 6 papers published at DTTC (Intel's flagship technical conference)
June 2015 – March 2026 · Bengaluru, Karnataka
🔩 Jenkins-as-a-Service Platform at Scale
Architected a highly available, multi-tenant Jenkins platform supporting 2M+ monthly jobs across 2,500+ pipelines on 30+ controllers, using Shared Libraries and Configuration-as-Code.
- Automated deployment of 50+ Jenkins hosts on Kubernetes using Terraform & Helm, cutting team onboarding time by 70%
- Maintained 99.995% uptime SLO continuously
- Executed Disaster Recovery in under 30 minutes for 30+ controllers during a live production incident
🤖 CTH.ai — LLM & IDE-Agnostic AI Hardware Design Kit
Spearheaded the architecture and rollout of CTH.ai, integrating VS Code, GitHub Copilot (GHCP), and Claude Skills to enable hardware designers to execute complex EDA flows using natural language.
- Distributed an AI SDK empowering 10+ product design teams and 100+ developers to prototype MCP servers, agents, skills, and prompts
- Built AI-powered tools: merge conflict resolvers, code review assistants, debuggers
- Accelerated RTL design cycles by 12–15%, reducing Time-to-Market for Intel products
- Deployed automated update pipelines releasing VS Code/Copilot updates within 1 day of official release
📦 Dart Package Manager — Cloud-Native Artifact Ecosystem
Engineered a cloud-native dependency management system from the ground up for Intel's ROHD (Rapid Open Hardware Development) framework:
- Built scalable microservices architecture using Kubernetes, MongoDB, and JFrog Artifactory
- Established the first unified dependency management system for RTL developers across Intel organisations
- Eliminated versioning conflicts and accelerated hardware design cycles
☁️ AWS EDA Migration POC
Led a Proof of Concept to migrate Electronic Design Automation (EDA) workloads to AWS, leveraging EC2, Auto Scaling, VPC, IAM, CloudWatch, RDS, S3, and EFS to validate compatibility and scalability.
November 2025 – Present · Mumbai, Maharashtra
- Architected a custom property valuation web application integrating Google Vertex AI Search API and STDIO MCP servers, reducing manual comparative market analysis by 10%
- Deployed tailored AI automation solutions saving up to 85 man-hours/week in real estate operations
- Built and shipped a mobile-optimised area calculator web app with dynamic room inputs, unit selection, and CSV exports — accelerating report generation by 10–15%
| Project | Description | Stack |
|---|---|---|
| Alfred Jenkins | Multi-tenant Jenkins-as-a-Service: 2M+ monthly jobs, 2,500+ pipelines, 99.995% SLO | Jenkins, Kubernetes, Terraform, Helm, Python |
| CTH.ai | LLM & IDE-agnostic AI Hardware Design Kit for Intel EDA teams | MCP Servers, Claude Skills, GHCP, VS Code, Python |
| Dart Package Manager | First unified dependency management system for Intel ROHD framework | Kubernetes, MongoDB, JFrog Artifactory, Microservices |
| AWS EDA Migration POC | Validated EDA workload migration to AWS cloud | EC2, Auto Scaling, VPC, IAM, CloudWatch, RDS, S3, EFS |
| AI SDK (Intel) | Internal SDK enabling 100+ developers to build MCP servers, agents & prompts | Python, MCP, LLM APIs, VS Code |
| VDS Property Valuation App | AI-powered comparative market analysis platform | Vertex AI Search, MCP Servers, Python |
| Degree | Institution | Year | Grade |
|---|---|---|---|
| M.Tech, VLSI & Embedded Systems | NIT Surat | 2013–2015 | 7.9 CGPA |
| B.E., Electronics | Mumbai University | 2009–2013 | 7.9 CGPA |
DTTC (Intel Design & Test Technology Conference)
Intel's most prestigious technical conference, held bi-annually.
- 📄 6 papers accepted for publication across 2017–2025
- Topics spanning DevOps automation, AI tooling, and hardware design infrastructure
| 🥇 40+ Org-Level Awards | 📄 6 DTTC Publications | ☸️ 99.995% Uptime SLO | ⚡ 30-min DR Recovery |
|---|---|---|---|
| Intel Central Engineering Group | 2017–2025 | Jenkins Platform | Live Production Incident |
🔵 Platform Engineering ████████████████████ Expert
🔵 CI/CD Architecture ████████████████████ Expert
🔵 Kubernetes & Helm ████████████████░░░░ Advanced
🔵 Terraform / IaC ███████████████░░░░░ Advanced
🔵 Observability Stack ███████████████░░░░░ Advanced
🟣 MCP Servers & AI Agents ██████████████░░░░░░ Advanced
🟣 GenAI DevOps Tooling █████████████░░░░░░░ Growing
🟡 ArgoCD / GitOps ████████░░░░░░░░░░░░ Learning
Open to: Senior DevOps · Platform Engineering · SRE · AI Infrastructure · Forward Deployed Engineering roles Availability: Remote · Mumbai-based · Open to IST-friendly global roles
"Infrastructure is the foundation of everything — build it to last, automate it to scale, observe it to trust."