---
title: "Shaik Juneaidh Mohammad - System Engineer in Atmakur | Tal"
description: "Meet Shaik Juneaidh Mohammad, System Engineer @ TCS | AI & Data Engineer | Databricks Certified | AI & Data Pipelines | M.Tech AI & DS (IIT Patna ’27) based in Atmakur. AI stack includes langgraph and openai."
image: "https://tal.club/meet/shaik-juneaidh-mohammad/share-image"
---

# Shaik Juneaidh Mohammad on Tal

## Headline

System Engineer @ TCS \| AI & Data Engineer \| Databricks Certified \| AI & Data Pipelines \| M\.Tech AI & DS \(IIT Patna ’27\)

## About

AI & Data Engineer with hands\-on experience building scalable AI and data solutions using Python, SQL, Databricks, PySpark, and Generative AI\. My work focuses on LLM\-powered applications and data pipelines, including Retrieval\-Augmented Generation \(RAG\), vector search, LLM enrichment, document processing, embeddings, and asynchronous LLM workflows\. In my current role at TCS, I work on AI and data engineering initiatives involving unstructured data, document processing, hierarchical chunking, embeddings, vector search, and scalable AI processing pipelines\. I have hands\-on experience with Databricks, Mosaic AI, Unity Catalog, Delta Lake, Azure OpenAI, LangChain, Flask, REST APIs, and async programming\. I have worked on large\-scale AI processing workflows involving 250,000\+ document chunks, along with AI\-powered knowledge and retrieval systems for enterprise use cases\. Currently pursuing an M\.Tech in Artificial Intelligence & Data Science from IIT Patna, while expanding my expertise across Generative AI, Machine Learning, Agentic AI, distributed systems, and cloud\-based AI solutions\. Interested in building reliable, scalable AI systems that solve real\-world problems\.

## Location

Atmakur

## AI stack

langgraph

openai

## Work experience

System Engineer at Tata Consultancy Services, Sep 2024 \- Present · 2 yrs 2 mos, Greater Bengaluru Area, • Built a SQL Query Generation Bot using Python and LangChain to automate query creation from structured inputs, reducing manual effort and improving developer productivity • Designed a custom chunking and preprocessing strategy to handle large\-scale datasets, enabling efficient LLM input handling and improving response accuracy • Implemented asynchronous LLM processing using asyncio with semaphore\-based concurrency control, reducing LLM request and response generation time by \~60% by enabling parallel execution across distributed workloads • Developed retry mechanisms with exponential backoff and robust error handling \(rate limits, API timeouts, content filters\), ensuring reliability in production\-like environments • Worked on Databricks to build scalable data pipelines using distributed processing techniques, handling large datasets with optimized transformations • Developed embedding\-based retrieval workflows for intelligent data access and context\-aware query generation • Integrated logging and monitoring mechanisms for tracking query generation, failures, and performance metrics • Collaborated on building end\-to\-end AI\-powered data workflows, combining data engineering and LLM capabilities for real\-world use cases Tech Stack: Python, SQL, LangChain, Databricks, AsyncIO, Azure OpenAI, Pandas

## Education

Master of Technology \- MTech, Artificial Intelligence and Data Science, Indian Institute of Technology, Patna

B\.Tech, ECE, Shanmugha Arts, Science, Technology & Reserch Academy \(SASTRA\), Thanjavur

[View the original profile](https://tal.club/meet/shaik-juneaidh-mohammad)

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