---
title: "Anurag Sharma - Staff Software Engineer in Bengaluru | Tal"
description: "Meet Anurag Sharma, Staff Software Engineer based in Bengaluru. AI stack includes claude code, cursor, and hugging face."
image: "https://tal.club/meet/anurag-sharma-7/share-image"
---

# Anurag Sharma on Tal

## Headline

Staff Software Engineer

## About

I’m a Staff Engineer at Intuit with a Master’s from the University of Florida, advancing the Digital Help experience through clustering, knowledge graphs, hybrid search, and multi\-agent AI\. I generally spend my time learning concepts on machine learning & deep learning\. I have done personal projects on image/document classification, transfer learning, sentiment analysis, natural language generation, etc\. I am currently looking for opportunities in the field of data science and S/W product development \. Skills \- Python, Deep Learning, Data Science, Neo4j, RabbitMQ, MongoDB

## Location

Bengaluru

## AI stack

claude code

cursor

hugging face

langgraph

ollama

openai

## Work experience

Staff Software Engineer at Intuit, Dec 2024 \- Apr 2026 · 1 yr 5 mos, Bengaluru, Karnataka, India, \- Applied clustering to product support data to identify customer intent groups \- Built an Intent Taxonomy Knowledge Graph from clustered intents \- Used AutoEval with multi\-LLM voting to measure classifier performance \- Implemented Hybrid\-Search method for intent classification, achieving \~80% precision \- Prototyped a multi\-agent system to improve automated customer support Tools \- Python, Neo4j, Agentic AI, Machine Learning, NLP, LLMs

Senior Software Engineer \- Machine Learning at Findem, Jan 2024 \- Dec 2024 · 1 yr, Bengaluru South, Karnataka, India, \- Used ensemble techniques to Improve profile matching accuracy of medical profiles from 38% to 82%\. \- Fine\-tuned transformer based model with 94% accuracy to classify job\-roles from input job\-titles\. \- Used embedding techniques to classify a candidate work experience into 27 different job\-functions\. \- Used ChatGPT for data set curation for job\-role and job\-function classifier\. \- Created data pipelines using Airflow for ingesting and invoking ML classifiers for mapping candidate profiles\. Tools \- Python, Airflow, ChatGPT, MongoDB

Principal Engineer at SKIDOS, Jan 2022 \- Jan 2024 · 2 yrs 1 mo, Remote, \- Created a serverless data lake for a unified source of accurate business metrics\.\. \- Used Generative AI techniques to generate engaging short stories and accompanying images for kids\. \- Implemented a Subscriber Knowledge Graph to enhance game recommendation and predict churn\. \- Scheduled 90% of critical data scripts on Airflow and configured alerts to get success/failure notifications\. \- Leading the data team of 5 members to drive data driven decisions in the organization \- Tools \- Python, Apache Airflow, AWS Glue, AWS Athena, AWS S3, BigQuery, MySQL, MongoDB, Neo4j, Generative AI, GPT3, LLMs

Software Engineer II \- Data Science at Esri, Feb 2020 \- Jun 2021 · 1 yr 5 mos, Greater Delhi Area, \- Added Text Classification & Named Entity Resolution modules supporting transformer architectures like BERT, RoBERTa, XLNET, etc to our enterprise software offering arcgis\.learn\. \- Used embedding technique to find similar images from a corpus of 9\.5 million images\. \- Trained a NER model and created a Knowledge Graph by extracting named entities from text documents\. \- Trained GPT\-2 transformer model to generate meaningful text for a given incomplete sentence/paragraph\. Tools \- PyTorch, FastAI, Faiss, TensorFlow, HuggingFace Transformers, spaCy, Neo4j

Senior Software Engineer \- Data Science & Backend at BOLD, Jan 2018 \- Jan 2020 · 2 yrs 1 mo, Noida, Uttar Pradesh, India, \- Involved in engineering and creation of various Data Science related services and pipelines\. \- Created and productionized multiple Knowledge Graphs built on Neo4j using Docker\. \- Involved in re\-architectures of our data ingestion pipeline so as to make it more fault tolerant\. Tools \- Python, Neo4j, Docker, Java, MongoDB, RabbitMQ, Redis

Software Engineer \- Data Science at BOLD, Jan 2017 \- Dec 2017 · 1 yr, Noida, Uttar Pradesh, India, \- Working as a data engineer to create a resume to job match engine which recommends jobs based on a user's resume\. \- Created an automated pipeline for our resume to job semantic match API \(via Doc2Vec approach\)\. \- Created REST APIs to serve enriched and insightful data to internal teams\. \- Involved in optimizing and reducing the run time of Data Science APIs\. \- Involved in setting up Mongo clusters and RabbitMQ broker system for our test and production environments\. Tools \- Python, Java, Gensim, MongoDB, RabbitMQ, Azure Service Bus, Shell Script, Redis, WebServices, Jersey, Twisted framework

Software Engineer at Quad Analytix, Aug 2016 \- Dec 2016 · 4 mo, Noida

Software Engineer at HT Media Ltd, Sep 2013 \- Aug 2015 · 1 y 11 mo, Gurugram

## Education

Computer Vision NanoDegree, Computer Vision, Udacity

Deep Learning NanaoDegree, Deep Learning, Udacity

[View the original profile](https://tal.club/meet/anurag-sharma-7)

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