Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India · Hybrid

• Leading platform engineering and data infrastructure initiatives supporting $400M+ ARR.
• 𝗞𝗲𝘆 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀:
• 🏗️ Built data engineering team from 0→7 engineers, establishing function for first time
• Architected ETL pipelines processing 500M+ daily records
• Reduced data latency from 4 hours to 15 minutes
• Tech: Apache Beam, Dataflow, BigQuery, Kafka
• 💰 Implemented FinOps framework reducing GCP spend 28% ($1.8M annually)
• Automated cost attribution across 40+ projects
• Built real-time chargeback reporting dashboards
• Established culture of cost awareness
• 🚀 Led DevOps transformation across 150+ engineers
• Increased deployment frequency: weekly → daily
• Reduced MTTR by 65%
• Achieved 99.9% SLA across critical services
• 🛠️ Built Internal Developer Platform (IDP)
• Reduced service onboarding: 1 week → 2 days
• Improved developer satisfaction 45%
• Improved developer productivity 30%
• Self-service infrastructure provisioning
• 📊 Presented quarterly roadmaps to C-suite
• Secured $2M infrastructure investment
• Aligned technical priorities with business goals
• Developed 18-month platform engineering strategy
• 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: GCP, Kubernetes, Terraform, Apache Beam, Dataflow, BigQuery, Grafana, Prometheus, Datadog

Apr 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

• Led AI/ML platform development and multi-cloud infrastructure for LLM-based products.
• 𝗞𝗲𝘆 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀:
• 🤖 Built MLOps platform supporting 50+ LLM models
• Serving 2M+ daily inference requests
• Achieved 99.95% uptime
• Implemented model monitoring and governance
• ⚡ Optimized GPU infrastructure
• Improved utilization: 45% → 82%
• Reduced inference costs $180K quarterly
• Implemented autoscaling and GPU time-slicing
• Tech: EKS, Karpenter, NVIDIA GPUs
• ☁️ Engineered multi-account AWS architecture
• Reduced provisioning time 60% (5 days → 2 days)
• Achieved 32% cost savings ($2.4M annually)
• Built automated resource tagging and governance
• Tech: Terraform, AWS Organizations, Control Tower
• 📊 Built FinOps monitoring framework
• Real-time visibility into $8M+ annual cloud spend
• Automated chargeback reporting across 60+ services
• Cost-per-service attribution
• 🔐 Architected secure multi-cloud data transfer
• Migrated 800TB+ with zero downtime
• Supported $10-15M ARR initiative
• Maintained SOC2/GDPR compliance
• Tech: AWS DataSync, VPC Peering
• 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: AWS, EKS, Terraform, Karpenter, MLflow, Kubernetes, Docker, Prometheus, Grafana

May 2023 – Apr 2024 · 11 mos · Bengaluru, Karnataka, India · Hybrid

• Drove platform reliability, security, and cost optimization protecting $50M ARR.
• 𝗞𝗲𝘆 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀:
• 📈 Improved platform reliability
• Increased uptime: 99.7% → 99.95%
• Implemented SRE practices and observability
• Reduced P1 incidents by 50%
• Tech: Prometheus, Grafana, ELK Stack
• 💵 Reduced infrastructure costs 22% ($1.2M annually)
• Automated RDS partitioning
• S3 lifecycle policies and intelligent tiering
• Right-sized compute resources
• 🔄 Led EKS cluster upgrades (1.21 → 1.24)
• Zero-downtime migration affecting 200+ microservices
• Coordinated across 50+ engineering teams
• 🔒 Strengthened security posture
• Conducted comprehensive security audits
• Reduced critical vulnerabilities by 85%
• Implemented ECR scanning and GuardDuty
• Achieved 100% credentials rotation with Vault
• 🏗️ Deployed 200+ microservices
• Kubernetes, Helm, and Istio service mesh
• Standardized deployment patterns
• Improved observability and debugging
• 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: AWS EKS, Kubernetes, Helm, Istio, HashiCorp Vault, Prometheus, Grafana, Terraform