---
title: "Rishabh Mehra - Senior Machine Learning Engineer in Maharashtra | Tal"
description: "Meet Rishabh Mehra, Data Scientist | NLP | Machine Learning | IIIT B| LJMU based in Maharashtra. AI stack includes claude code, codex, and hugging face."
image: "https://tal.club/meet/rishabh-mehra/share-image"
---

# Rishabh Mehra on Tal

## Headline

Data Scientist \| NLP \| Machine Learning \| IIIT B\| LJMU

## About

Results\-driven Data Scientist with 5\+ years of experience in optimizing business operations through cutting\-edge NLP techniques\. I help companies revolutionize their processes and achieve remarkable outcomes\. • Implemented advanced technologies including LLMs, GenAI, and NLP, utilizing data formats with Qdrant VectorDB and integrated LLM models such as GPT\-3\.5, GPT\-4, Mistral, Claude, and Llama\. • Implemented RAG model with BGE\-Large\-Embeddings, establishing robust pipelines for RAG and LLM evaluations to Improve Retrieval results by applying Query Rewriting, meta filtering, Reranking\. • Trained Legal BERT Classifier for extracting Legal clause from 250\+ classes and designed an extraction pipeline with 90% Accuracy\. • Reduced the MLOPS overhead by 20 hrs per week by implementing data drift models, model evaluations and data standardization • Spearheaded implementation of text classification and table standardization frameworks, reducing manual invoice processing time by 50% and increasing accuracy by 40%\. • Trained NER models for bank statements and income computation, achieving 97% accuracy in extracting salary data\. • Enhanced document and image classification models, improving accuracy by 5% and reducing manual effort by 50 hours\. Let's collaborate to drive transformative solutions and propel your business forward\! Industry Experience : • Manufacturing • Oil &amp; Gas • Insurance Tech • Legal Tech \-\-\- Technical Skills Frameworks: Transformers \(Hugging Face\), scikit\-learn, Keras, TensorFlow, PyTorch, HF Optimum, FastAPI, Flask NLP: NER, Sentiment Analysis, Text Classification, Flair, NLTK, SpaCy, Gensim, CRF\+\+, HF Transformers, Langchain Deep Learning: LSTM, GPTs, BERT, RoBERTa, T5, DiT, Prompt Engineering with GPTs, LLMs, RAG, RHLF, LoRA Cloud Computing: Microsoft Azure, AWS Programming Languages: C, C\+\+, Python, SQL Web Scraping: Beautiful Soup \(bs4\), Scrapy

## Location

Maharashtra

## AI stack

claude code

codex

hugging face

## Work experience

Senior Machine Learning Engineer at IDfy, Mar 2025 \- Present · 1 yr 7 mos, On\-site

Data Scientist at ContractPodAi, Jul 2023 \- Apr 2025 · 1 yr 10 mos, Mumbai, Maharashtra, India, \- Integrated cutting\-edge LLMs \(GPT\-3\.5, GPT\-4,Claude, Mistral, LLaMA\) with Qdrant VectorDB to enhance semantic search and retrieval\. \- Built robust Retrieval\-Augmented Generation \(RAG\) pipelines leveraging OpenAI embeddings, improving retrieval accuracy through advanced query rewriting, meta\-filtering, and reranking strategies\. \- Trained a Legal\-BERT classifier to extract legal clauses across 250\+ classes, achieving 90% accuracy\. \- Actively led requirement discussions with clients and played a key role in mentoring and guiding junior team members\.

Data Scientist at i3systems\.ai, Mar 2022 \- May 2023 · 1 yr 3 mos, Mumbai Metropolitan Region, Motor Invoice Digitization •Led the implementation of Azure OCR and Form Recognizer to automate motor invoice processing, resulting in a 50% reduction in manual effort and a 40% increase in accuracy\. • Trained a Flair model to accurately extract meta entities from invoices, such as vendor names, invoice dates, GST numbers, and chassis numbers, Financial Underwriting • Developed and trained NER models using multiple libraries and frameworks, including flairnlp, NLTK, and CRF\+\+, to extract relevant information from Bank Statements, Form16, and Computation of Income \(COI\)\. • Deployed an algorithm that extracted salary data from bank statements with 97% accuracy\. Medical Examination Reports • Trained a regression model to improve data extraction efficiency by 15% by finding data point coordinates\. • Trained a Resnet\-18 model to accurately classify checkboxes, signatures, and stamps, further streamlining the medical examination report process\. Enhancement • Improved the accuracy score of document and image classification models by 5% through an upgrade\. • Customized an auto\-learning framework for profile terms with range values, reducing compute time by 7 seconds per case and decreasing manual user intervention by 50 hours\.

Senior Software Engineer at LTI \- Larsen &amp; Toubro Infotech, Nov 2020 \- Mar 2022 · 1 yr 5 mos

Associate Consultant at LTI \- Larsen &amp; Toubro Infotech, Aug 2020 \- Oct 2020 · 3 mos, Mumbai, Maharashtra, India

Graduate Engineering Trainee at LTI \- Larsen &amp; Toubro Infotech, Aug 2019 \- Jul 2020 · 1 yr, Airoli

Data Science Intern at Agrima Infotech PVT LTD, Oct 2018 \- Jan 2019 · 4 mos, Remote, \- Developed a solution for resolving issues with a unit converter feature in an app using advanced text preprocessing and cleaning techniques like tokenization and stemming\. \- Implemented Spacy named entity recognition \(NER\) to accurately identify and convert units, and employed a spellcheck model to ensure the accuracy of 85% \- Hosted the solution on a server to ensure easy accessibility and provide a seamless user experience\.

## Education

Master's degree, NLP, Liverpool John Moores University

Postgraduate Degree, Data Science, International Institute of Information Technology Bangalore

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

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