---
title: "Roshini priya - AI/ML Manager in India | Tal"
description: "Meet Roshini priya, AI/ML Manager @ Olleya Health | Ex VISA | Master of Science in AI and ML based in India. AI stack includes anthropic apis, antigravity, and claude code."
image: "https://tal.club/meet/roshini-priya/share-image"
---

# Roshini priya on Tal

## Headline

AI/ML Manager @ Olleya Health \| Ex VISA \| Master of Science in AI and ML

## About

AI/ML Engineer specializing in scalable data systems and production machine learning, with 3\+ years of experience across healthcare, fintech, and FMCG\. Currently leading the architecture of cloud\-native data and AI platforms at Olleya Health, building end\-to\-end systems for clinical intelligence on large\-scale healthcare datasets\. Previously at Visa Inc\. and Anheuser\-Busch InBev, delivering high\-impact ML solutions across credit analytics and supply chain optimization\. • Architected and deployed distributed data pipelines and ML systems on GCP handling large\-scale, high\-throughput data • Improved forecast accuracy by 25%\+ and reduced stockouts by 30% in global supply chain systems • Built GenAI applications \(LLMs, RAG, agentic workflows\) reducing manual analysis by 40% • Owned end\-to\-end ML lifecycle: data → modeling → deployment → monitoring in production environments Focused on system design, scalability, and real\-world impact — building reliable AI systems that drive measurable business outcomes\.

## Location

India

## AI stack

anthropic apis

antigravity

claude code

cursor

githubcopilot

huggingface

## Work experience

AI/ML Manager at OlleyaHealth Pvt Ltd, Sep 2025 \- Present · 1 yr, Led architecture and delivery of scalable, production\-grade healthcare data and ML systems\. • Owned end\-to\-end design of MedCode AI, enabling structured intelligence from ICD/CPT/HCPCS data at scale • Built distributed GCP pipelines \(BigQuery, Cloud Storage\) with strong SLAs for data quality and reliability • Designed Bronze/Silver/Gold data lake powering analytics and ML workloads • Deployed ML models \(anomaly detection, pattern recognition\) reducing manual analysis • Led a team of 4 engineers, driving architecture, code quality, and execution • Implemented CI/CD \(GitLab\) \+ Cloud Run deployments for fast, reliable releases • Integrated CMS & NPI datasets to enhance provider intelligence • Optimized for scalability, fault tolerance, and cost efficiency

Senior Data Scientist at Visa, May 2025 \- Jan 2026 · 9 mos, Bengaluru, Karnataka, India

Data Scientist at Happiest Minds Technologies, Nov 2024 \- May 2025 · 7 mos, India

Data Scientist 1 at Eurofins, May 2024 \- Oct 2024 · 6 mos

Data Scientist at Eurofins, Aug 2022 \- Aug 2024 · 2 yrs 1 mo

Data Science Intern at ESIGELEC : ÉCOLE D'INGÉNIEURS\-ES GÉNÉRALISTES, Feb 2022 \- Jul 2022 · 6 mos, Rouen, Normandy, France, • Developed a powerful Python application to assist individuals with disabilities by converting text inputs into audio\-visual sign language\. • Process\-oriented data analysis ability inherited from parents to evaluate model performance using various sources of data\. • Acquired in\-depth knowledge about various database kinds, research techniques, curation, manipulation, and visualization\. • A 99\.4% effective natural language processing \(NLP\) model built on Python's Tensorflow and image processing tools was successfully deployed; this model outperformed earlier methods\. • Easily incorporated into any platform and made useful by adding a Google website extension\.

## Education

Master of Science \- MS, AI and ML, Liverpool John Moores University

Bachelor of Engineering \- BE, Computer Science, Visvesvaraya Technological University

[View the original profile](https://tal.club/meet/roshini-priya)

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