---
title: "Mohammed Ghayaz - AI Data Engineering Intern in Chennai | Tal"
description: "Meet Mohammed Ghayaz, Final Year Engineering Student | Fellow @ NxtWave CCBP | AI Engineer & Full-Stack Developer | Built Production Web Apps + RAG Systems | FastAPI, React, ML, Deep Learning based in Chennai. AI stack includes aistudio, langchain, and ollama."
image: "https://tal.club/meet/mohammed-59/share-image"
---

# Mohammed Ghayaz on Tal

## Headline

Final Year Engineering Student \| Fellow @ NxtWave CCBP \| AI Engineer & Full\-Stack Developer \| Built Production Web Apps \+ RAG Systems \| FastAPI, React, ML, Deep Learning

## About

As an engineering student pursuing a BTech in Artificial Intelligence and Data Science at Sri Venkateswara College of Engineering, I am currently enrolled in NxtWave's CCBP 4\.0 Academy, where I am building technical foundations in AI and software engineering\. My recent role as an AI Data Engineering Intern at third i involved designing Facebook Pages ingestion workflows, developing Airbyte\-powered ETL pipelines, and modeling business data with Cube\.js to drive AI\-driven recommendations\. My previous experience includes enhancing user engagement and optimizing UI components as a Frontend Web Developer at NxtWave, where I delivered responsive interfaces and streamlined feature delivery processes\. I am enthusiastic about contributing to impactful AI and software development projects, leveraging my expertise in ETL tools, Django, and scalable data pipelines\.

## Location

Chennai

## AI stack

aistudio

langchain

ollama

openai

## Work experience

AI Data Engineering Intern at Third I, Jan 2026 \- May 2026 · 5 mos, Remote, Worked directly on production\-grade AI analytics infrastructure, building end\-to\-end data pipelines that transformed social media data into structured datasets consumable by AI agents and conversational analytics systems\. Key contributions included: \- Designing and managing Facebook Pages ingestion workflows using OAuth\-based authentication and access token management\. \- Building Airbyte\-powered ETL pipelines to synchronize data into Amazon S3 and orchestrating Mage pipelines for data transformation and warehouse loading\. \- Modeling and exposing business data through Cube\.js semantic layers, enabling natural language querying, analytics, and AI\-driven recommendations\. \- Integrating TikTok and Facebook Pages datasets into a scalable analytics architecture supporting chatbot and AI agent workflows\. Technologies: PostgreSQL, Cube\.js, Airbyte, Mage, Amazon S3, Python, OAuth 2\.0, ETL Pipelines, AI Analytics

Frontend Web Developer at NxtWave, Jul 2024 \- Aug 2024 · 2 mos, Hyderabad, Telangana, India, Improved user engagement by 22% by building a responsive frontend for the NxtTalks platform using HTML, CSS, and JavaScript with performance\-focused design\. Reduced UI defects by 30% by optimizing reusable, cross\-browser and mobile\-compatible components across the application\. Accelerated feature delivery by 18% by collaborating in Agile sprints and improving frontend maintainability, saving 40\+ engineering hours through modular architecture\.

## Education

NxtWave's CCBP 4\.0 Academy, NxtWave

Bachelor of Technology \- BTech, Artificial Intelligence and Data Science, Sri venkateswara college of engineering

[View the original profile](https://tal.club/meet/mohammed-59)

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