Healthcare AI Specialist | Australian Market Focus | Production RAG Systems

📧 eashwars2001@gmail.com | 📱 +61 450 332 782 | LinkedIn

Building production-grade AI systems for healthcare compliance at Solara Health (July 2025 - Present)

• Implementing TGA-compliant RAG pipelines for medical chatbots
• Automated testing suites covering API routing and disclaimer enforcement
• Patient query classification with crisis escalation protocols

Business Intelligence & Forecasting

• Customer segmentation driving 15% revenue identification (Australian retail)
• Climate forecasting with 1.2°C MAE for government policy support
• Healthcare AI systems with regulatory compliance safeguards

Technical Execution

• Production Python (Pandas, Scikit-learn, FastAPI, Pytest)
• Cloud Infrastructure (AWS EC2, S3, Lambda, DynamoDB)
• Business Dashboards (Power BI, Tableau with automated ETL)

Languages: Python, SQL, R Cloud/DevOps: AWS (Bedrock, Aurora, S3, Lambda, EC2), Docker, CI/CD, Git ML / Analytics: RAG , Semantic Chunking (LlamaIndex), Sentence Transformers (MiniLM), RAGAS Evaluation, Scikit-learn, SARIMA, K-Means, Classification Models Databases: PostgreSQL (pgvector, RLS, IVFFlat Indexing), MySQL, DynamoDB, SQL Server Visualization: Power BI, Tableau, Matplotlib Frameworks / Libraries: Fast API, Flask, Pytest, Pedantic, Pandas, NumPy, BeautifulSoup4, pdfplumber Other Specialisations: Multi-Tenant Architecture, Safety Guardrails (AWS Bedrock), PII Redaction, Metadata Tagging

Business Impact: Identified high-value customer segment representing 15% of revenue
Technical: K-Means clustering on 5,000 transactions, RFM analysis, Power BI dashboard
Data Quality: Corrected 72.5% invalid order IDs, implemented outlier treatment

Business Impact: SARIMA forecasting for government climate policy decisions
Technical: Flask web app, 1.2°C MAE accuracy, interactive Folium mapping
Deployment: Python-based dashboard with real-time location search

Business Impact: TGA-compliant medical information system with crisis escalation
Technical: FastAPI, Pytest testing, automated disclaimer enforcement
Compliance: Australian healthcare regulation adherence, audit trails

M.S. Data Science | RMIT University | Dec 2025 | GPA: 3.4/4.0
B.S. Electronics & Communication | Rajagiri School of Engineering | Aug 2023 | First Class Distinction

Certifications in Progress:

• Microsoft Azure Data Fundamentals (AI-900)
• Microsoft Azure AI Fundamentals (DP-900)

• Data Science Melbourne Meetup Active member engaging with 50+ analytics professionals

"Building data solutions that meet real business needs and regulatory requirements."