---
title: "Pratyashi Nath - Research Intern in Guwahati | Tal"
description: "Meet Pratyashi Nath, EE undergrad @NIT Silchar || AI/ML || Java || Python based in Guwahati. AI stack includes claude code, codex, and deepseek."
image: "https://tal.club/meet/pratyashi-nath/share-image"
---

# Pratyashi Nath on Tal

## Headline

EE undergrad @NIT Silchar \|\| AI/ML \|\| Java \|\| Python

## About

I am a final\-year engineering student with a keen interest in learning, innovation, and personal growth\. I am passionate about exploring new ideas, especially in the field of technology and sustainable solutions\. I enjoy working on practical projects that challenge my analytical thinking and problem solving skills\. I believe in continuous improvement, teamwork, and applying knowledge to create meaningful real world impact\. My goal is to grow both professionally and personally while contributing positively to the field I choose to work in\.

## Location

Guwahati

## AI stack

claude code

codex

deepseek

gemini

metaai

ChatGPT

## Work experience

Research Intern at National Institute of Technology Silchar, Jan 2025 \- Sep 2025 · 8 mo, Silchar, Assam, India, This research aims to investigate whether hallucinations in Large Language Models \(LLMs\) can be detected using only the model’s internal confidence signals, without relying on external fact checking systems\. The study involves generating responses to factual question answering benchmarks such as TruthfulQA or Natural Questions using an open\-source LLM \(e\.g\., LLaMA or Mistral\), while extracting internal signals including token probability distributions, entropy, log\-likelihood scores, and attention patterns during inference\. These signals will be analyzed to determine whether statistical differences exist between factually correct and hallucinated responses\. By labeling outputs based on ground truth comparison and conducting correlation and classification analysis, the research seeks to develop a lightweight hallucination scoring mechanism\. The final objective is to evaluate whether internal uncertainty measures can reliably predict factual inaccuracies, thereby improving the reliability and trustworthiness of generative AI systems without increasing computational overhead\.

Summer Intern at ASSAM ELECTRICITY GRID CORPORATION LIMITED, Jun 2024 \- Jul 2024 · 2 mos, on site, Summer Internship learning about 400 kV GSS Kukurmara \(Mirza\), Aegcl

Technical Member \(Design\) at ELECTRA \-Electrical Engineering Society ,NIT SILCHAR, Sep 2023 \- Feb 2024 · 6 mos

Graphic Designer at Posua, Aug 2023 \- Feb 2026 · 2 yrs 7 mos

## Education

Bachelor of Technology \- BTech, Electrical Engineering, National Institute of Technology Silchar

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

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