MSc Biostatistics & Data Science
Stockholm, Sweden
ARVINDGURUPRASADARVINDGURUPRASAD
RVINDGURUPRASADOrigin Story
From Muscat sands to Stockholm's tech scene, here's the journey that sparked my passion for improving lives through healthcare, data, and AI.
Muscat Beginnings
Childhood
Growing up in sunny Muscat with Indian roots - a world of cultures sparking early curiosity!
Bangalore Bound (B.Eng CSE)
2016-2020
Off to Bangalore for a CS degree! Knew I loved tech, just needed to find my quest...
AI Consulting at Quantiphi
2020
Leveled up into the corporate world at Quantiphi. Learned the rules of the game!
R&D Side Quest
2021
Plot twist! Mentorship unlocked an R&D side quest in Healthcare tech. Challenge accepted!
Finding the Mission
2022-2024
Led client quests, wielding tech for good in Healthcare. Discovered my core mission: improving lives with code!
Stockholm Chapter: M.Sc.
Present
New chapter unlocked: Stockholm. Pursuing an MSc in Biostatistics & Data Science while building production, agentic healthcare AI systems from the ground up.
Skills
LLM Engineering
Programming & Development
Cloud & Data Engineering
Healthcare Data & Interoperability
Certifications
Experience
- Joined as the first AI engineer to build an agentic AI platform for clinical, administrative, and wellness workflows from the ground up.
- Architected and own the multi-agent orchestration layer enabling no-code workflow creation for healthcare use cases.
- Built a tool-use framework for builder agents to discover and orchestrate platform components into end-to-end workflows.
- Shipped a production clinical guidelines agent (Claude) for Swedish oncology guideline parsing, used in customer demos.
- Designed LLMOps foundations: evaluation metrics, benchmark datasets, and prompt iteration pipelines.
- Implemented privacy/PII protection guardrails with human-in-the-loop review workflows for sensitive healthcare data.
- Built a production pipeline to extract structured data from unstructured Swedish prescriptions using LLM-based parsing and validation.
- Achieved 99.4% success rate across 1,000+ records, eliminating 90% data loss from a legacy process.
- Engineered hybrid AI + rule-based validation for Swedish-to-English medical terminology normalization.
- Optimized cost and QA with 1.1% manual review and roughly $300 per million records processing cost.
- Added automatic flagging for high-dose regimens and complex titration schedules.
- Led end-to-end delivery of healthcare ML engagements totaling $5M+ contract value , managing 20+ engineers and data scientists .
- Built an LSTM nurse staffing forecast model (550M+ records), reducing overstaffing costs by 40% (~$1M+ annual savings).
- Implemented LLM + RAG FHIR mapping to convert unstructured EHR data to standardized resources, achieving 95% accuracy and cutting manual coding by 50% .
- Led presales, solutioning, and GTM across US, EU, and APAC, contributing to 10+ deals worth $15M+ .
- Coordinated cloud data pipelines (Python, SQL, GCP) for large-scale patient data integrations.
- Led R&D for a cloud healthcare solution, translating clinical needs into user stories.
- Developed dashboards (Looker, BigQuery) enhancing health equity tracking & cutting reporting time by 40% .
- Automated workflows (Google Apps Script), saving 8+ hrs/month & accelerating decisions.
- Enhanced risk models with SDOH/SVI data , enabling 15% earlier high-risk patient identification.
- Contributed to an NLP pipeline for EHR text, reducing manual chart review time .
Projects
Get in Touch
Have a question, a project idea, or just want to connect? Feel free to reach out directly or use the form. I'm always open to discussing new opportunities and collaborations.