Madhavi P.

Key Skills

Software

Don't disclose

Top Subject Matter

Retrieval-Augmented Generation (RAG) and NLP for document summarization

Customer segmentation analytics (RFM + clustering)

Healthcare AI / clinical decision support

Top Data Types

Document

Text

Audio

Top Task Types

Text Summarization

Diagnosis

Freelancer Overview

Summer Intern, LTRC Labs at IIITH (May 2021 - Jun 2021): RAG with LangChain; created a human-annotated abstractive summa. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Technology in Computer Science, Indian Institute of Information Technology (2022) and Data Science Internship, Ignitus (2023). AI-training focus includes data types such as Document, Text, and Audio and labeling workflows including Text Summarization, Clustering, and Diagnosis.

Labeling Experience

Machine Learning Intern, Ignitus (Nov 2022 - Jan 2023): customer segmentation using K-Means/DBSCAN

Don't discloseText

Performed machine learning work for customer segmentation using unsupervised algorithms to support analytics-driven outcomes. While the role was not explicitly a data labeling position, the ML pipeline required preparing and transforming customer data for modeling purposes. Work included validating segmentation quality using clustering metrics. • Applied RFM analysis to construct modeling features • Implemented K-Means and DBSCAN for segmentation • Evaluated clustering quality with silhouette score • Prepared customer data for ML training and assessment

2022 - 2023

Data Science Intern, Shiga Corp & Trust (Oct 2022 - Nov 2022): MedIntel healthcare AI tool

Don't discloseAudioDiagnosis

Developed a healthcare AI tool intended to analyze medical data to support clinical decision-making. The internship involved building components of an AI solution where labeled or structured medical inputs are typically used for downstream modeling and inference. The work emphasized improving diagnostic suggestion relevance. • Built healthcare AI components for clinical decision support • Used RPA for operational email automation supporting the AI workflow • Applied multiple data science courses to strengthen implementation • Focused on improving diagnostic suggestion relevance

2022 - 2022

Summer Intern, LTRC Labs at IIITH (May 2021 - Jun 2021): RAG with LangChain; created a human-annotated abstractive summarization dataset

Don't discloseDocumentText Summarization

Built a human-annotated abstractive summarization dataset as part of an NLP pipeline for a document-based AI assistant. The work focused on creating high-quality training data for summarization tasks from source documents. This included defining annotation scope and preparing examples suitable for model training and evaluation. • Human annotation of abstractive summaries • Preparation of a summarization dataset from documents • NLP preprocessing and pipeline construction to support labeling • Quality-focused dataset creation for retrieval-augmented generation workflows

2021 - 2021

Education

Work History