DegreeMSc Biostatistics & Data Science
Location  Stockholm, Sweden

CURRENTLY RESEARCHING

THE INTERSECTION OF

Healthcare IconHEALTHCARE
Data and AI Icon DATA AND AI
PROJECTS
8-bit persona

ARVINDGURUPRASAD

Origin 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.

Pixel art version of me growing up in Muscat

Muscat Beginnings

Childhood

Growing up in sunny Muscat with Indian roots - a world of cultures sparking early curiosity!

Pixel art version of me during Bachelors in Bangalore

Bangalore Bound (B.Eng CSE)

2016-2020

Off to Bangalore for a CS degree! Knew I loved tech, just needed to find my quest...

Pixel art version of me starting at Quantiphi

AI Consulting at Quantiphi

2020

Leveled up into the corporate world at Quantiphi. Learned the rules of the game!

Pixel art version of me leading R&D

R&D Side Quest

2021

Plot twist! Mentorship unlocked an R&D side quest in Healthcare tech. Challenge accepted!

Pixel art version of me using tech for healthcare

Finding the Mission

2022-2024

Led client quests, wielding tech for good in Healthcare. Discovered my core mission: improving lives with code!

Pixel art version of me pursuing Masters in Stockholm

Stockholm Chapter: M.Sc.

Present

New chapter unlocked: Stockholm! Pursuing a Masters in Biostatistics & Data Science, blending health and tech expertise.

Skills

Programming & Analytics

PythonRSQLLarge Language Models (LLMs)LangChainModel Context Protocol (MCP)Agent ArchitectureRAGScikit-learnTensorFlowPyTorchLooker

Cloud & Data Engineering

Vertex AIDataflowBigQueryPub/SubCloud StorageCloud FunctionsGitCI/CD

Healthcare Data & Interoperability

HL7v2FHIRDICOMICD-10GDPRHIPAAPHI handlingData Governance

Certifications

Google Cloud Associate Cloud Engineer BadgeLooker LookML DeveloperProfessional Scrum Master I Badge

Experience

Research Assistant
Karolinska Institutet | Stockholm, Sweden | March 2025 - Present
  • Researching & designing an LLM/RAG solution for parsing unstructured prescription data .
  • Architecting an automated parsing pipeline , defining data flow and LLM integration points.
LLMRAGSystem ArchitectureHealthcare Data
Senior Data & AI Solutions Consultant - Healthcare
Quantiphi | Bangalore, India | Sep. 2022 - Aug 2024
  • Led healthcare ML project deliveries ($5M+ value), managing 20+ engineers/scientists .
  • Built LSTM nurse staffing model (550M+ records), reducing overstaffing costs by 40% ($1M+/year).
  • Deployed LLM/RAG solution mapping EHR to FHIR, achieving 95% accuracy & 50% less manual coding .
  • Drove presales/GTM (US, EU, APAC), securing 10+ deals ($15M+) via tailored AI demos.
  • Optimized cloud data pipelines (Python, SQL, GCP), cutting analytics time by 30% .
Machine LearningLSTMLLMRAGGeminiFHIREHRPresalesGTMPythonSQLGoogle CloudDataflowLookerLeadership
Data & AI Solutions Consultant
Quantiphi | Bangalore, India | Sep. 2020 - Aug. 2022
  • 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 .
R&DLookerBigQueryGoogle App ScriptsHealthcare AnalyticsSDOHRisk ModelingNLPEHRStakeholder Management

Projects

AI-Powered FHIR Mapping
Developed an automated pipeline using LLMs (Gemini) and Retrieval-Augmented Generation (RAG) to map unstructured EHR data elements to standardized FHIR resources.

Tech Stack:

LLM, RAG, Python, Google Cloud, BigQuery

Impact:

Cut manual coding by 50%, achieved 95% accuracy.

Predictive Nurse Staffing
Engineered an LSTM time-series model trained on over 550 million historical records to accurately forecast nurse workload demands and optimize staffing levels.

Tech Stack:

LSTM, Time-Series, Python, Vertex AI, BigQuery

Impact:

Reduced overstaffing costs by 40% ($1M+ annual savings), 95% accuracy.

Proactive Patient Risk Modeling
Built advanced machine learning models integrating Social Determinants of Health (SDOH) and CDC SVI data to enable earlier identification of high-risk patient populations.

Tech Stack:

Machine Learning, Risk Modeling, Python, SQL, BigQuery

Impact:

Identified high-risk patients 15% earlier.

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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.

arvindguruprasad33@gmail.comLinkedIn Profile