Roshini priya profile photo 1 on Tal

Roshini priya

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

India

4+ years of work experience

OlleyaHealth Pvt Ltd
Sep 20251 yrPresent

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
Visa
May 20259 mosJan 2026

Bengaluru, Karnataka, India

Happiest Minds Technologies
Nov 20247 mosMay 2025

India

Eurofins
May 20246 mosOct 2024

Eurofins
Aug 20222 yrs 1 moAug 2024

ESIGELEC : ÉCOLE D'INGÉNIEURS-ES GÉNÉRALISTES
Feb 20226 mosJul 2022

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.

Roshini’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
cursor
cursor
githubcopilot
githubcopilot
huggingface
huggingface

Education

Liverpool John Moores University

Master of Science - MS, AI and ML

Liverpool John Moores University

Visvesvaraya Technological University

Bachelor of Engineering - BE, Computer Science

Visvesvaraya Technological University

20184 yrs2022

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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