---
title: "Adeebullah Sheikh - Experienced Data Analyst in Bengaluru | Tal"
description: "Meet Adeebullah Sheikh, Data and AI based in Bengaluru. AI stack includes aistudio, hugging face, and langchain."
image: "https://tal.club/meet/adeebullah/share-image"
---

# Adeebullah Sheikh on Tal

## Headline

Data and AI

## Location

Bengaluru

## AI stack

aistudio

hugging face

langchain

openai

## Work experience

Experienced Data Analyst at Volvo Group, Jan 2025 \- Present · 1 yr 6 mos, Hybrid, 1\. AI\-Driven Defense Platform for Log Intelligence • Architected a Multi\-Agent Autonomous Diagnostic System using DSPy, reducing system troubleshooting latency from 4 hours to 4 minutes \(1500% improvement\) across global server logs\. • Engineered an Agentic reasoning loop featuring self\-reflection and verification stagesto validate anomaly hypotheses, drastically reducing false\-positive alerts by 50%\. • Implemented the Model Context Protocol \(MCP\) to enable secure, real\-time agent access to distributed telemetry data and hardware metrics\. • Designed a stateful,session\-based vector memory architecture to maintain long\-term context in multi\-turn agentic investigations, improving root\-cause accuracy in complex distributed systems\. 2\. LLM\-Powered Data Democratization \(NL\-to\-SQL\) • Developed a high\-precision Agentic NL\-to\-SQL engine utilizing a "Plan\-and\-Execute" pattern to decompose complex natural language prompts into optimized SQL \(CTEs, window functions, and multi\-joins\)\. • Integrated an Agent\-to\-Agent \(A2A\) communication protocol to facilitate hand\-offs between a Schema\-Specialist agent and a Query\-Optimization Agent, ensuring 95%\+ execution accuracy on unseen database schemas\. • Optimized a Retrieve\-Then\-Read pipeline using semantic ranking and metadata\-filtered RAG, reducing LLM token consumption by 30% while maintaining high retrieval relevance\.

Data Analyst at Volvo Group, Oct 2022 \- Jan 2025 · 2 yrs 4 mos, On\-site, Scalable Data Defense & Optimization • Engineered a global real\-time anomaly detection pipeline using PySpark, processing terabytes of telemetry data to identify GPS "freeze events" before they impacted market regulatory reporting\. • Spearheaded the 2G/3G Sunset Impact Analysis by building a predictive PySpark model to identify and prioritize high\-risk vehicle clusters for hardware migration in the Australian market\. • Automated data workflows using Python & SQL and developed Power BI dashboards integrated with Azure data flows

Product Intern at HighRadius, Jun 2021 \- May 2022 · 1 yr, Bhubaneswar, Orissa, India, • Assist the Advance RPA team in identifying and resolving bugs in existing RPA processes\. • Participate in the testing and validation of new automation processes\. • Collaborate with the team to continuously improve the efficiency and effectiveness of RPA processes\. • Assist with other tasks as assigned by the Advance RPA team\.

Product and Engineering Intern at HighRadius, Jan 2021 \- Mar 2021 · 3 mos, Bhubaneswar, Odisha, India, • Assisting the development team in building an AI\-based cash application software that meets the project's requirements and specifications\. • Collaborating with the development team to design and develop the software's user interface using React as a frontend technology\.

## Education

Bachelor of Technology \- BTech, Computer Science, KIIT \- Kalinga Institute of Industrial Technology

[View the original profile](https://tal.club/meet/adeebullah)

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