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Anurag Sharma

Staff Software Engineer

Bengaluru

10+ years of work experience

Intuit
Dec 20241 yr 5 mosApr 2026

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
Findem
Jan 20241 yrDec 2024

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
SKIDOS
Jan 20222 yrs 1 moJan 2024

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
Esri
Feb 20201 yr 5 mosJun 2021

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
BOLD
Jan 20182 yrs 1 moJan 2020

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
BOLD
Jan 20171 yrDec 2017

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
Aug 20164 moDec 2016

Noida

HT Media Ltd
Sep 20131 y 11 moAug 2015

Gurugram

Anurag’s AI Stack

claude code
claude code
cursor
cursor
hugging face
hugging face
langgraph
langgraph
ollama
ollama
openai
openai

Education

Udacity

Computer Vision NanoDegree, Computer Vision

Udacity

20192019
Udacity

Deep Learning NanaoDegree, Deep Learning

Udacity

20182018

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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