---
title: "Aguru Venkata Saisantosh Patnaik - AI Research Intern in Hyderabad | Tal"
description: "Meet Aguru Venkata Saisantosh Patnaik, IIT Bhubaneswar | Amazon MLSS’25 | Ex-Intern @ IIM Ahmedabad, IIM Calcutta, Unstop based in Hyderabad. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/venkata-saisantosh-patnaik-aguru/share-image"
---

# Aguru Venkata Saisantosh Patnaik on Tal

## Headline

IIT Bhubaneswar \| Amazon MLSS’25 \| Ex\-Intern @ IIM Ahmedabad, IIM Calcutta, Unstop

## About

I am an IIT Bhubaneswar graduate passionate about leveraging Artificial Intelligence, Machine Learning, and Analytics to solve real\-world business problems\. My experience spans Generative AI, Large Language Models \(LLMs\), Natural Language Processing \(NLP\), data engineering, and data visualization, with projects involving Retrieval\-Augmented Generation \(RAG\), sentiment analysis, and large\-scale data processing\. Through internships at IIM Ahmedabad, IIM Calcutta, and Unstop, I have worked on AI, analytics, and research projects, gaining experience in developing data\-driven solutions and translating complex data into actionable insights\. Beyond academics, I have represented IIT Bhubaneswar at various national competitions and held leadership positions within the institute\. I am always eager to learn, collaborate, and contribute to impactful work in AI, Data Science, Analytics, and emerging technologies\.

## Location

Hyderabad

## AI stack

claude code

claude

codex

deepseek

gemini

hugging face

## Work experience

AI Research Intern at Indian Institute of Management Ahmedabad, May 2026 \- Jul 2026 · 3 mos, \- Built a 10\-module pipeline that fact\-checks real\-world claims against GDELT, a global news database \(maintained by Google\) using ClickHouse for large\-scale retrieval\. \- Designed a 9\-agent LLM system \(LangGraph\) that decomposes claims, gathers evidence in parallel, and outputs a multi\-factor confidence score\. \- Built a RAG layer that narrows thousands of candidate articles down to the 10 most relevant per claim using embeddings and rank fusion\. \- Added a verification layer that cross\-checks AI verdicts against Wikipedia and live search, with fault\-tolerant fallbacks across local and cloud LLMs\.

Research Intern at Indian Institute of Management, Calcutta \(IIM Calcutta\), Jun 2025 \- Jul 2025 · 1 mo, Remote, \- Automated extraction of 1\.5M\+ records via Selenium and BeautifulSoup with concurrent scraping and error handling\. \- Integrated data with geospatial coordinates of 145K\+ locations using scalable merging workflows for analytics\. \- Built Pandas cleaning pipeline validating data point mappings and removing inconsistencies across 400\+ files\.

Intern at Unstop, Nov 2023 \- Jan 2024 · 3 mos, \- Automated data extraction workflows to improve operational efficiency and support teams in accelerating data\-driven decisions\. \- Collaborated with teams and recruiters to ensure smooth integration and publication of opportunities, boosting platform reliability\.

## Education

B\.Tech and M\.Tech, Mechanical Engineering, Indian Institute of Technology, Bhubaneswar

[View the original profile](https://tal.club/meet/venkata-saisantosh-patnaik-aguru)

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