Neetu Murmu

Software Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

Highly Stable

Key Highlights

Led a team to develop a scalable data pipeline.
Automated legal document extraction, doubling efficiency.
Designed algorithms for fair patient allocation.

Stackforce AI infers this person is a Data Engineer with expertise in Machine Learning and Cloud Technologies.

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Skills

Core Skills

Python (programming Language)Google Cloud Platform (gcp)Machine Learning Algorithms

Other Skills

TesseractSystems DesignPandasJupyterDockerObject-Oriented Programming (OOP)Unit TestingSoftware DesignNode.jsOptical Character Recognition (OCR)RabbitMQElastic Stack (ELK)Machine LearningData AnalysisContinuous Integration

Experience

Ebay

Software Engineer

Jun 2025 – Present · 9 mos · Bengaluru, Karnataka, India

Idfy

2 roles

Software Engineer

Jan 2023 – May 2025 · 2 yrs 4 mos

Led a team of 3 to develop event-driven scalable data pipeline and accelerated data availability in system from 1 week -> 1 day.
Enhanced system availability by decoupling components, reducing manual intervention by 95%.
Scaled the pipeline to handle 2 Cr data/day, gaining a 5x performance boost over the previous system.
Migrated pipeline from Node.js to Python, boosting speed and enabling seamless REST API integration.

Python (Programming Language)Google Cloud Platform (GCP)

Machine Learning Engineer

Jul 2021 – Dec 2022 · 1 yr 5 mos

Automated legal document extraction flow and optimized with parallel processing.
Increased extraction rate by 100% by integrating Tesseract and extracted 70 lac legal documents.
Conducted client-focused analysis tasks for RBI, CIBIL, Federal Bank, leading to increased search volumes.

Python (Programming Language)Machine Learning Algorithms

Remedico

Software Engineer

Sep 2020 – May 2021 · 8 mos

Patient Allocation Algorithm : Solved skewed allocation problem by designing an improved algorithm to ensure fair distribution of visits among doctors.
Doctor Scoring System: Improved doctor scoring system by integrating multiple performance factors; refactored existing code to ensure system extensibility.
Key Learning:Object Oriented Programming, Code refactoring, Flask SqlAlchemy, Git, Docker, Postgresq