Available for work
SysOps Engineer / Linux Administrator / Infrastructure Specialist / Cloud Engineer
I architect reliable infrastructure, automate complex pipelines, and keep production systems breathing — smoothly, at scale.
I am a DevOps engineer from India with hands-on experience in building, deploying, and managing scalable infrastructure. I specialize in Linux systems, containerization, monitoring platforms, automation, IoT and vibe coding.
I enjoy solving infrastructure problems, optimizing system performance, and building reliable deployment pipelines.
My approach is pragmatic — I use the right tool for the job, whether that's a bash script at 2 AM or a full GitLab CI/CD overhaul. I care deeply about observability, security, and making deployments boring (in the best way).
Currently expanding my expertise into MLOps and AI-assisted infrastructure automation.
End-to-end IoT data pipeline collecting sensor telemetry via MQTT, flowing through Node-RED into InfluxDB, visualized in real-time on Grafana dashboards.
Production-grade LoRaWAN network server stack on Linux. Handles device provisioning, uplink/downlink message routing, and MQTT integration for IoT connectivity.
Fully automated GitLab CI/CD pipeline with Docker-based build environments, automated testing gates, and zero-downtime deployment strategies.
Custom Shopify theme automation using Liquid templates and JavaScript, with Shopify API integrations for inventory sync, webhooks, and automated order workflows.
Studying machine learning operations including model lifecycle management, experiment tracking, CI/CD for ML pipelines, and deploying machine learning models into production environments.
Exploring generative AI technologies, large language models, prompt engineering, and integrating AI capabilities into real-world DevOps and infrastructure workflows.
Pursuing RPA certification to bring enterprise-grade robotic process automation into infrastructure management workflows.
Preparing for AWS Certified AI Practitioner certification to understand AI/ML services in AWS and how to build, deploy, and manage AI-powered applications in cloud environments.
Open to new opportunities, collaborations, and interesting infrastructure challenges. Drop a message or connect on any platform below.