---
title: "Naman Singh Panwar - AI Engineer in Greater Jodhpur Area | Tal"
description: "Meet Naman Singh Panwar, AI Engineer @ Gyannetra Pvt Ltd | Ex-DRDO & Microsoft (AICTE) AI Intern | Full-Stack AI Integration | Next.js, ML Pipelines | B.Tech CSE ’27 based in Greater Jodhpur Area. AI stack includes antigravity, gemini, and hermes agent. Explore public work links including github an..."
image: "https://tal.club/meet/naman-singh-panwar/share-image"
---

# Naman Singh Panwar on Tal

## Headline

AI Engineer @ Gyannetra Pvt Ltd \| Ex\-DRDO & Microsoft \(AICTE\) AI Intern \| Full\-Stack AI Integration \| Next\.js, ML Pipelines \| B\.Tech CSE ’27

## About

AI Engineer at GyanNetra Pvt Ltd \| Specialized in Full\-Stack AI Integration I build production\-grade applications that bridge the gap between complex Machine Learning models and seamless User Experiences\. With a background including research at DRDO and foundations laid by Microsoft \(AICTE\), I focus on engineering efficiency over buzzwords\. Core Expertise: AI/ML: YOLOv8, ML Pipelines, Model Training & Evaluation\. Full\-Stack: Next\.js, React, TypeScript, Node\.js\. DevOps: Docker, Containerization, API Architecture\. Beyond the code, I have a proven track record of leadership—serving on the Student Council and leading PR for Reckon 7\.0, a national\-level hackathon\. I’m driven by solving real\-world problems with high\-performance, scalable code\.

## Location

Greater Jodhpur Area

## AI stack

antigravity

gemini

hermes agent

hugging face

ollama

openai

## Work experience

AI Engineer at Gyannetra Pvt Ltd, May 2026 \- Present · 4 mos, Remote, Transitioned from Frontend Developer to AI Engineer, responsible for architecting end\-to\-end web applications and integrating machine learning pipelines into production environments\. ​AI & Backend Integration: Structuring data pipelines to connect machine learning models and AI agentic workflows with backend services, optimizing for low\-latency inference\. ​Full\-Stack Architecture: Developing scalable and highly responsive user interfaces using Next\.js, React, and TypeScript to seamlessly handle AI\-generated data and complex state management\. ​Infrastructure & Deployment: Containerizing applications using Docker and managing cross\-platform deployments to ensure stable, scalable production builds for diverse client needs\. ​Tech Stack: Next\.js, React, TypeScript, Node\.js, Python, Docker, REST APIs, ML Pipelines\.

Frontend Developer \- AI R&D Division at Gyannetra Pvt Ltd, Sep 2025 \- Apr 2026 · 8 mos, Hybrid

Summer Trainee at DRDO, Ministry of Defence, Govt\. of India, Jul 2025 \- Sep 2025 · 3 mos, Jodhpur, Rajasthan, India, Completed a comprehensive internship in the AI and Machine Learning domain\. Focused on applying theoretical knowledge of AI, ML, and supervised learning to real\-world challenges\. This experience included hands\-on work with data analysis, feature engineering, model training, and performance evaluation, contributing to the development of robust AI solutions\.

AI Intern at Web Development at Gyannetra Pvt Ltd, May 2025 \- Jul 2025 · 3 mos, Hybrid, Contributed to the development of AI\-driven web applications during a dynamic 2\-month internship\. Gained hands\-on experience in full\-stack development within an AI\-focused environment, bridging the gap between backend services and user\-facing interfaces\. 1\. Developed responsive and interactive frontend components that seamlessly consumed backend APIs, creating a smooth user experience\. 2\. Utilized Docker to containerize the application, ensuring consistent development environments and simplifying the deployment pipeline\. 3\. Collaborated with the AI team to understand model requirements and effectively integrate AI functionalities into the web platform\.

MS AINSI AI Intern at Microsoft, Apr 2025 \- May 2025 · 2 mos, Remote, Completed a comprehensive 4\-week internship focused on the Foundations of Artificial Intelligence, a prestigious national initiative by Microsoft, in collaboration with the All India Council for Technical Education \(AICTE\)\. 1\. Developed a strong theoretical understanding of core AI principles, including machine learning algorithms, neural networks, and the fundamentals of data science\. 2\. Gained practical insights into the complete AI project lifecycle, from data collection and pre\-processing to model training and evaluation\. 3\. Explored real\-world applications of AI and Machine Learning across various industries, learning to identify problems that can be solved with AI\-driven solutions\. 4\. Acquired foundational skills in data analysis and predictive modeling, building a strong base for advanced topics in the field of Artificial Intelligence\.

AI Model Trainer at Outlier, Dec 2024 \- Mar 2025 · 4 mos, Remote, Worked as a AI Model Trainer at Outlier, where I'm contributing to the development and improvement of cutting\-edge AI models\. I'm leveraging my expertise in natural language processing to enhance the understanding and generation of human\-quality text\. My work involves analyzing large datasets, training models, and evaluating their performance\. I'm excited to be part of a team that is pushing the boundaries of AI research and development\.

## Education

Bachelor of Technology \- BTech, Computer Science Engineering, JIET Group of Institutions Jodhpur

Secondary, Central Academy

## Public links

- github: https://github\.com/ectasy663
- namansinghpanwar\.in: https://www\.namansinghpanwar\.in/

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

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