Ashish C.

I help healthcare, enterprise, and SaaS startups turn complex requirements into secure, scalable, production-ready software.

AI Healthcare & Enterprise solutions expert: Claims automation & InsureTech specializations

Expertise in:

Azure Databricks
Databricks
PySpark
Azure Data Engineering
Data Engineering
Python
SQL
MongoDB
ETL / ELT
Data Pipelines
Data Ingestion
Data Transformation
Data Analytics
Data Modeling
Data Catalog
Metadata Management
Data Governance
Azure Data Lake / ADLS
Azure Data Factory
Azure Synapse
Power BI
AI/ML Data Pipelines
AI-driven Workflows
Predictive Analytics
Machine Learning
Healthcare Data Analytics
Claims Data
EHR Data
Cloud Data Architecture

With 22+ years of experience, I have built and optimized HealthTech platforms, enterprise SaaS applications, AI-enabled workflows, API integrations, analytics dashboards, and data pipelines for clients across the US, Canada, Australia, Europe, UAE, and other markets.

My core strength is combining business analysis, product thinking, and technical execution to deliver practical solutions that are aligned with real operational needs. I work across AI, agentic automation, LLMs, RAG, NLP, ML, system integration, and full-stack development.

I have extensive experience in:

Healthcare software: EHR/EMR, telehealth, patient engagement, patient monitoring, RCM, HEDIS, risk adjustment, care gap analytics, lab systems, practice management, and insurance workflows
Enterprise SaaS: multi-tenant platforms, dashboards, workflow automation, analytics, and secure integrations

AI enablement: OpenAI, Azure AI Foundry, LLM applications, RAG systems, XAI, intelligent automation, and decision support

Integration work: HL7, FHIR, CCDA, Mirth Connect, EMR/EHR integrations, and enterprise APIs
Data and reporting: Power BI, Tableau, SSRS, SQL, PostgreSQL, MongoDB, MySQL, and operational analytics

My preferred stack includes .NET Core 8 9 & 10, ASP.NET C#, Python, FastAPI, ReactJS, Angular, JavaScript, PHP, Laravel, and SQL-based architectures, with cloud experience across Azure and AWS.