---
title: "Pranav G. - Technical Lead in Pune Division | Tal"
description: "Meet Pranav G., DevOps Technical Lead at KPIT | AWS Certified Developer - Associate | Virtualization and DevOps | TeamCity | Jenkins | Automation | Python | Kotlin | Git based in Pune Division. AI stack includes antigravity, codex, and opencode. Explore public work links including github."
image: "https://tal.club/meet/pranav-g/share-image"
---

# Pranav G\. on Tal

## Headline

DevOps Technical Lead at KPIT \| AWS Certified Developer \- Associate \| Virtualization and DevOps \| TeamCity \| Jenkins \| Automation \| Python \| Kotlin \| Git

## About

I help automotive engineering teams build, scale, and accelerate software delivery through robust CI/CD infrastructure, cloud\-native DevOps, and intelligent automation\. In my current role, I lead a team of 7 DevOps engineers building CI/CD solutions for a global automotive OEM, architecting 300\+ pipelines spanning vECU virtualization, legacy builds, and platform integration\. I drove initiatives that reduced delivery time by 18% for 400\+ developers, cut Docker image sizes by 80%, and spearheaded an AI\-powered CI failure triaging system that significantly reduced mean time to diagnosis\. I also built a Kubernetes\-based Metrics Dashboard from the ground up, giving senior leadership real\-time DevOps KPI visibility and reducing deployment time by 70%\. Beyond my current role, I’m deeply inspired by the transformative potential of Artificial Intelligence and Machine Learning in reshaping the future of automotive vehicles\. I’m driven by the challenge of merging technological excellence with visionary innovation to create smarter, safer, and more efficient vehicles\. If you’re passionate about the future of automotive technology, let’s connect and exchange ideas\!

## Location

Pune Division

## AI stack

antigravity

codex

opencode

## Work experience

Technical Lead at KPIT, Oct 2024 \- Present · 1 yr 11 mos, Pune District, Maharashtra, India, Led a 7\-engineer DevOps/SRE team, setting CI/CD and GitOps standards for cloud\-native platform delivery across multiple programs\. Built an AI\-driven CI failure triaging system that classifies root causes from pipeline logs, cutting mean time to diagnosis\. Collaborate with stakeholders across engineering, architecture, and customer teams to define and execute DevOps/SRE strategy and platform roadmap\. Architected a Kubernetes\-based DevOps Metrics Dashboard \(EKS, HPA, Helm\), giving real\-time KPI visibility to Scrum Masters, Program Managers, and senior leadership; cut deployment time by 70% and held 99\.9% uptime across 3 AZs\. Reduced Docker image sizes by 80% with multi\-stage builds, accelerating deployment cycles using rollout\. Designed the COSI Build Orchestrator, a GitOps\-aligned integration and release platform that lets 400\+ developers across 25 teams run integrations independently, cutting delivery time by 18% and pipeline feedback time by 35%\. Shifted security left with automated SAST pipelines \(Polyspace, Model Advisor, Parasoft, LDRA\) and policy gates, catching MISRA violations and concurrency bugs pre\-merge for 400\+ developers\. Cut redundant branches by 85\-90% and reclaimed 90% of artifact storage with automated GitHub and JFrog Artifactory cleanup pipelines; enforced least\-privilege IAM and image\-scanning baselines across Kubernetes\-deployed services\. Led team\-building, mentoring, and upskilling initiatives to grow DevOps/SRE capabilities across the team\.

Senior Engineer at KPIT, Oct 2023 \- Sep 2024 · 1 yr, Responsible for understanding and gathering the requirements from the customer, collaborating with various teams, and developing workflow diagrams \(CICD E2E pipeline workflow\) Architected, developed, deployed, and maintained 300\+ pipelines for L1 and L3 vECU virtualization, plant model automation, platform integration pipelines, and architecture validations for several trains\. Streamlined automation of pipelines using Kotlin DSL \- Pipeline As Code, thereby promoting code reuse, eliminating manual config errors, enabling version control, utilizing a modular object\-oriented approach\. Developed common modules in the TeamCity pipeline as a product – used across the entire DevOps team\.

Engineer at KPIT, Oct 2022 \- Sep 2023 · 1 yr, Pune District, Maharashtra, India, Developed Python and CLI automation for dSPACE and Vector tools that are platform agnostic\. Streamlined the automation in such a way that resource allocation for vECU development and release activities was brought down from 8 to 2 \- released 10\+ vECUs per sprint\. Development and maintenance of the VEW products using AWS services – CodeCommit, CodeBuild, CodePipeline, EC2 Image builder pipeline, CloudFormation\. Worked on PoC for calculating the DORA metrics/KPIs for CICD tool \- TeamCity, JFrog, GitHub, and visualized it on Power\-BI

## Education

Master of Technology \- MTech, Automotive Electronics, BITS Pilani Work Integrated Learning Programmes

Bachelor of Engineering, Electrical and Electronics Engineering, Savitribai Phule Pune University

## Public links

- github: https://github\.com/pranavg2104

[View the original profile](https://tal.club/meet/pranav-g)

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