---
title: "Rishabh Jain - Staff Devops Engineer in Bengaluru | Tal"
description: "Meet Rishabh Jain, Staff DevOps Engineer at OAI based in Bengaluru. AI stack includes anthropic apis, antigravity, and claude. Explore public work links including github."
image: "https://tal.club/meet/rishabh-jain-17/share-image"
---

# Rishabh Jain on Tal

## 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 &amp; 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 &amp; 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

[View the original profile](https://tal.club/meet/rishabh-jain-17)

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