---
title: "Kartikeya Joshi - Programmer Analyst Trainee in India | Tal"
description: "Meet Kartikeya Joshi, Programmer Analyst Trainee based in India. AI stack includes antigravity, claude code, and claude. Explore public work links including github and leetcode."
image: "https://tal.club/meet/kartikeya-joshi/share-image"
---

# Kartikeya Joshi on Tal

## Headline

Programmer Analyst Trainee

## About

Experienced software leader with 18\+ years in full stack development and engineering management\. At AMD, led visualization infrastructure for Vertex AI, optimizing GPU pipelines for large scale AI deployment\. Previously managed distributed analytics platforms and reporting systems at Tableau, driving scalability, CI/CD adoption, and engineering mentorship\. Skilled in backend systems, AI tooling, and delivering high performance, reliable software solutions\.

## Location

India

## AI stack

antigravity

claude code

claude

gemini

hugging face

ChatGPT

## Work experience

Programmer Analyst Trainee at Cognizant, Nov 2025 \- Present · 1 yr, Bengaluru, Karnataka, India, • Underwent training on Cloud fundamentals and Azure DevOps\. • Built and configured CI/CD pipelines using Azure DevOps to automate build and deployment workflows\. • Provisioned cloud infrastructure using Terraform, applying Infrastructure\-as\-Code best practices\. • Deployed containerized applications using Docker and Kubernetes, focusing on scalability and orchestration\. • Applied cost optimization practices in Azure during hands\-on implementations\.

AI/ML Engineer Intern at DRDO, Ministry of Defence, Govt\. of India, Jul 2024 \- Nov 2024 · 5 mos, Dehradun, Uttarakhand, India, • Collaborated with teammates in an agile environment, to design and code a real\-time system for aerial object detection, tracking, and classification, along with the collection of 300\+ videos as training data\. • Designed a real\-time, scalable video pipeline \(detect → track → classify\) using innovative technologies, achieving 92% detection accuracy on held\-out clips\. • Created solutions to run predictions by transforming tracked sequences into temporal signals and evaluating ML models; selected the top performer with 85% classification accuracy\. • Optimized real\-time processing pipeline to achieve low\-latency performance while maintaining classification accuracy on streaming video data\.

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Graphic Era Hill University

## Public links

- github: https://github\.com/kartikeyajoshi3009
- leetcode: https://leetcode\.com/kartikeyaJoshi

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

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