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Aparna Maurya

@aparnamaurya

Senior Deep Learning Engineer at Nagarro Software

Gurugram, India

https://github.com/Aparnamaurya

Nagarro SoftwareIndian Institute of Information Technology, Guwahati

Aparna Maurya is a Senior Deep Learning Engineer at Nagarro Software with expertise in NLP, Generative AI, and LLMs. She has developed impactful solutions including RAG-based recommendation tools and automated redaction systems, significantly improving business efficiency. Aparna holds a B.Tech in Computer Science and Engineering from IIIT Guwahati.

Experience

Senior Deep Learning Engineer

Nagarro Software

Jul 2019 - PresentGurugram, India

Developed an e-commerce solution for Shopify utilizing ChatGPT and Elasticsearch-based RAG technology, achieving a 40% improvement in recommendation accuracy. Created an employee onboarding system that reduced time-to-productivity by 50%. Developed an NLP-based opinion analysis solution for airlines on GCP. Built a PowerPoint redaction system using NER and object detection to reduce manual effort by 70%. Automated data extraction from unstructured emails for a logistics company.

Software development Intern

L&T-S&L

InternshipMay 2018 - Jun 2018Vadodara, India

Developed a web-based, scale-able and user friendly application, to keep track of stationary supplies for the company. Used Windows login based authentication system for company’s department usages.

Summer Intern, Mathematics Department

Indian Institute of Technology, Ropar

InternshipJun 2017 - Jul 2017Ropar, India

Used different mathematical modelling techniques to theoretically prove minimum cardinality value for proper interval graphs regarding b-Disjunctive dominating sets.

Education

Indian Institute of Information Technology, Guwahati

Bachelor of Technology

Computer Science and Engineering

Grade: 8.85 CGPA

Skills

NLP
Data Structures
Algorithms
Deep Learning
Visualization
GenAI
LLMs
SQL
Postgres
Docker
Google Cloud Platform
Kubernetes
DVC
Superset
ElasticSearch
Tensorflow
Pytorch
Flask
openCV
MLFlow
Pandas
SKLearn