Headline

Staff DevOps Engineer at OAI

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude

codex

cursor

ChatGPT

Work experience

Staff Devops Engineer at OrbitronAI.com, Jan 2026 - Present · 10 mos, India

DevOps Lead at Sanas, Oct 2025 - Dec 2025 · 3 mos, Bengaluru

Senior Devops Engineer at Sanas, Mar 2025 - Oct 2025 · 8 mos, Bengaluru, Karnataka, India

Senior Devops Engineer at SafeAI, Inc., May 2024 - Dec 2024 · 8 mos, Bengaluru, Karnataka, India

Senior DevOps Engineer at Snapdeal | AceVector Group, May 2022 - Jan 2024 · 1 yr 9 mos, Gurugram, Haryana, India

Associate Technical Architect at Quantiphi, Sep 2021 - Apr 2022 · 8 mos, Mumbai, Maharashtra, India

Senior Platform Engineer at Quantiphi, Jul 2020 - Feb 2022 · 1 yr 8 mos, Mumbai, Maharashtra, India

Platform Engineer at Quantiphi, Jun 2018 - Jul 2020 · 2 yrs 2 mos, Mumbai Area, India, Designing and Deploying a machine learning and AI-based predictive model for various feasible business solutions which can aid in flourishing the growth of a company in the market with the involvement of technologies such as CloudML Engine, Google Cloud, and Apache Spark. Other Technologies: • CI/CD • Gitlab • Docker and Container • Kubernetes Key-Roles as a Cloud Engineer: • Stressing upon the utilization of Cloud Services to Scale and produce distributive and reliable environment hence, reducing errors. • Designing a schema integrated with GCP infrastructure to improve security and Scalability. • Developing a working CI/CD end-to-end deep learning model pipeline using Gitlab. • Cloud Network Management, Designing and Developing Dockers for ML/AI APIs and services. • Deployment of the applications on the web that can be made available on a large scale using Kubernetes & Load Balancer. • Developed an ETL data pipeline that routes telemetry data to appropriate GCP APIs, datastores, and visualization platforms. Implementation of OpenTSDB and Grafana was done for visualization. • Implemented Cloud Functions to trigger a Dataflow Pipeline which reads the incoming data from the GCS file store thereby classifying the CT scan image to a particular class. • Created Configurations for the hosted cloud workbench & integrating Machine-Learning/AI model with Cloud Platform for a Workshop held in Detroit. • Utilized Big Query to deal with big data of 2 Million rows integrated with CMLE, Apache Spark and Flask Restful API.

Education

Bachelor of Engineering, ECE (Electronics and Communication Engineering), Birla Institute of Technology, Mesra

Public links

github: https://github.com/directlinks