Bengaluru, Karnataka, India
Software Engineering Manager with 9+ years of experience designing and delivering cloud-native platforms that power enterprise engineering at scale. Throughout my career at Altair Engineering and Siemens Digital Industries Software, I have built a strong foundation across Platform Engineering, DevOps, SRE, and increasingly, AI-powered operational tooling. I take pride in owning problems end-to-end — from system architecture and infrastructure design to team leadership and customer delivery. What I bring to the table: Platform Modernization — Led GitOps adoption, multi-cloud IaC frameworks, and CI/CD platform engineering supporting 500+ pipelines across global engineering teams Reliability & Efficiency — Delivered a 30% reduction in infrastructure costs and a 70% improvement in recovery time objectives through purpose-built automation and Kubernetes-native tooling Developer Enablement — Standardized DevSecOps practices across 100+ repositories, reducing onboarding effort by 70% through reusable CI/CD templates and security automation AIOps & LLMOps — Architected and shipped a production-ready AI-powered incident response platform leveraging LLMs to generate real-time remediation recommendations I hold a B.Tech from IIT Guwahati and am certified in OCI Architecture, Generative AI, MLOps (Duke University), and Google Cybersecurity. I am currently open to senior engineering and leadership roles in Platform Engineering, DevOps, or Site Reliability Engineering where I can continue to build impactful, scalable systems and high-performing teams. 📩 [email protected]
- Engineering Leadership - Managed and mentored a team of 4 software engineers, conducting 1:1s, performance reviews, code reviews, sprint planning, and technical coaching while driving delivery of platform engineering initiatives. - AI-Powered Incident Response Platform - Architected and delivered an AI-powered incident response platform integrating Alertmanager, Loki, Kubernetes, and LLM-based analysis to automate incident triage and remediation guidance. Reduced mean time to investigate (MTTI) by over 50%, enabling engineers to resolve production issues faster while eliminating repetitive manual log analysis. - GitOps Transformation - Led migration of 50+ Kubernetes applications from traditional Helm-based deployments to ArgoCD-driven GitOps workflows and developed a reusable Helm chart framework, reducing deployment effort by 60%, improving release consistency, and accelerating onboarding of new services. - Developer Experience Engineering - Established reusable GitLab CI/CD templates integrating automated SAST, container vulnerability scanning, SBOM generation, and quality gates, enabling standardized DevSecOps practices across multiple DevOps CoE teams, reducing onboarding effort by 70%, and improving security compliance across 100+ repositories. Platform Cost Optimization - Implemented a Kubernetes-based resource optimization solution leveraging Vertical Pod Autoscaling (VPA) to automate right-sizing of workloads, resulting in a 30% reduction in infrastructure costs and improved cluster efficiency. Global Customer Delivery & Success - Directed onsite customer deployment and production rollout activities for Samsung in South Korea while driving resolution of critical customer issues, partnering with engineering and support teams to deliver reliable solutions and ensure customer success.
Team: Production Engineering - WEYV (https://www.weyv.com) is a commercial music streaming service platform that allows users to listen to music and read magazines - Designed and maintained AWS infrastructure creation using Ansible - Architected a highly scalable and reliable infrastructure on AWS - Build helm charts to package and deploy applications on kubernetes - Designed CI/CD Jenkins pipelines to increase deployments and delivery frequency [ AWS - VPC, NAT, EC2, S3, CDN, Route 53, Ansible, Helm Charts, Kubernetes, Jenkins Pipeline, Groovy, Docker, Prometheus, Grafana, Datadog ]
- Speech quality communicated over the existing public switched telephone network (300-3400 Hz) does not have sufficient naturalness because of the lost information in the higher frequency region - ABE attempts to improve the quality and intelligibility of narrow-band speech by restoring its high-frequency component - Regenerated the lost high-frequency part using deep neural networks (DNN) and analyzed its performance, word error rate (WER) in the automatic speech recognition (ASR) system [ Machine Learning, DNN, Python, Jupyter Notebook, MATLAB ]
- Designed micro-meter sized field-effect transistor (FET) on AutoCAD - Fabricated graphene FET on silicon dioxide involving exfoliation of graphene, identification using Raman spectroscopy, e-beam Lithography, metallization, and lift-off - Measured the universal conductance fluctuations in dilution refrigerator in presence of magnetic field up to 20 mT at low temperatures [ MATLAB, AutoCAD ]