---
title: "Naman Tyagi - XR Developer Intern in Bengaluru | Tal"
description: "Meet Naman Tyagi, Software Developer | XR Developer | Unity 3D | C# | AR/VR | .NET | Computer Science Engineer based in Bengaluru. AI stack includes claude, gemini, and ChatGPT. Explore public work links including github."
image: "https://tal.club/meet/naman-tyagi/share-image"
---

# Naman Tyagi on Tal

## Headline

Software Developer \| XR Developer \| Unity 3D \| C\# \| AR/VR \| \.NET \| Computer Science Engineer

## About

I am a Computer Science Engineering graduate with hands\-on experience in software development and Extended Reality \(XR\), with a strong interest in building interactive and user\-focused applications\. My technical experience includes C\#, Unity 3D, \.NET, AR/VR development, Git/GitHub, and Python\. I have worked on XR applications and projects involving computer vision and deep learning\. I enjoy solving technical problems, learning new technologies, and turning ideas into practical applications\. Technical Skills: C\# \| Unity 3D \| \.NET \| AR/VR \| Python \| Git/GitHub \| Machine Learning \| Computer Vision I am currently looking for opportunities in Software Development, XR/AR/VR, Unity Development, and related engineering roles\.

## Location

Bengaluru

## AI stack

claude

gemini

ChatGPT

## Work experience

XR Developer Intern at Simulanis Solutions Pvt\. Ltd\., Feb 2026 \- Aug 2026 · 7 mos, Noida, Developed and worked on Extended Reality \(XR\) applications using Unity 3D and C\#\. Implemented interactive 3D experiences, UI elements, animations, and application functionality in Unity\. Worked with AR/VR development workflows and integrated 3D assets into immersive applications\. Debugged and optimized Unity projects to improve functionality and user experience\. Used Git/GitHub for version control and collaborative development\.

Research Intern at Council for Scientific and Industrial Research \(CSIR\), Mar 2025 \- Sep 2025 · 7 mos, Bengaluru, Worked on an image denoising project using deep learning techniques\. Developed and evaluated CNN\-based and Transformer\-based approaches for image restoration\. Used PyTorch for model development, training, and evaluation\. Experimented with perceptual loss using VGG19 to improve image reconstruction quality\. Evaluated model performance using PSNR and image\-quality metrics on benchmark datasets\.

## Education

Bachelor of Technology \- BTech, Computer Science, Alliance University

## Public links

- github: https://github\.com/naman\-tyagi\-dev

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

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