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


Bengaluru, Karnataka, India

India



Rouen, Normandy, France







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

Bachelor of Engineering - BE, Computer Science
Visvesvaraya Technological University
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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.
India
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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.
Master of Science - MS, AI and ML, Liverpool John Moores University
Bachelor of Engineering - BE, Computer Science, Visvesvaraya Technological University