---
title: "Nidhi Kamal - Senior Data Scientist in Greater Bengaluru Area | Tal"
description: "Meet Nidhi Kamal, Sr. AI Engineer | Ex-Toast | NLP, GenAI, LLMs | NIT Allahabad based in Greater Bengaluru Area. AI stack includes claude code, cursor, and gemini. Explore public work links including github."
image: "https://tal.club/meet/nidhi-kamal/share-image"
---

# Nidhi Kamal on Tal

## Headline

Sr\. AI Engineer \| Ex\-Toast \| NLP, GenAI, LLMs \| NIT Allahabad

## About

Senior Data Scientist with 8\+ years of experience building scalable ML and AI systems that drive real world impact\. Specialized in GenAI, LLM applications, and agentic workflows, combining classical modeling with modern techniques like RAG and prompt engineering\. Proven track record of deploying production grade models and enabling data driven, automated decision making at scale\. Engineering professional with a Bachelor’s Degree in Computer Science and Engineering from NIT Allahabad\.

## Location

Greater Bengaluru Area

## AI stack

claude code

cursor

gemini

hugging face

langchain

langgraph

## Work experience

Senior Data Scientist at Toast, Aug 2024 \- Jun 2026 · 1 y 10 mo, Bengaluru, Karnataka, India, I work on end to end Machine Learning and AI powered projects\. Some of the key areas I've contributed to at Toast, include: \- Worked with transformer based document information extraction models \(including Donut\) for structured data extraction from complex invoices\. \- Built RAG and LLM based assistants \(ChatBot\) to simplify technical content and improve decision workflows\. \- Developed agentic AI orchestration for fraud and business risk detection, enabling multi agent reasoning and automated signal detection\.

Senior Data Scientist at Embibe, May 2021 \- Aug 2024 · 3 yrs 4 mos, Bengaluru, Karnataka, India, 1\. Context aware spell checker model using DistilBERT\. 2\. General question answering model using T5 3\. Identifying duplicate question answer pairs using DPR embeddings and ResNet model\. Built the whole pipeline in pyspark\. 4\. Trained the model to classify the user uploaded images into academic, spam or non\-servable image queries\. 5\. Question extraction from the images and generating the answers through LLM by using RAG based approach\. 6\. Presented a paper titled "Improve Academic Query Resolution through BERT\-based Question Extraction from Images" in IEEE IATMSI 2024 conference\.

Data Scientist at Brillio, Mar 2020 \- May 2021 · 1 yr 3 mos, India, 1\. trained an object detection to identify the relevant fields from the images of various formats\. 2\. developed a linear regression model to predict the relocation cost and move duration\. 3\. used the topic modelling to classify the user feedbacks and narrowing down to focus on pain areas\.

Data Scientist at UnitedHealth Group, Jul 2017 \- Feb 2020 · 2 yrs 8 mos, Bengaluru, Karnataka, India, 1\. worked on NLP based solution to derive the insights from UHG members behaviour using topic modelling, clustering and entity detection approaches\. 2\. used the statistics and rule mining based model to streamline the various sources of data\. 3\. built a multi\-layer perceptron neural network to assist the claim authorisation process\.

## Education

Bachelor of Technology \- BTech, Computer Science and Engineering, Motilal Nehru National Institute of Technology

## Public links

- github: https://github\.com/nidhikamal109

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

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