Aguru Venkata Saisantosh Patnaik profile photo 1 on Tal

Aguru Venkata Saisantosh Patnaik

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

Hyderabad

< 1 year of work experience

Indian Institute of Management Ahmedabad
May 20263 mosJul 2026

- 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.
Indian Institute of Management, Calcutta (IIM Calcutta)
Jun 20251 moJul 2025

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.
Unstop
Nov 20233 mosJan 2024

- 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.

Aguru’s AI Stack

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Education

Indian Institute of Technology, Bhubaneswar

B.Tech and M.Tech, Mechanical Engineering

Indian Institute of Technology, Bhubaneswar

20215 yrs2026

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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

Aguru Venkata Saisantosh Patnaik - AI Research Intern in Hyderabad | Tal