Ashish C.

I help companies build AI-powered, healthcare, data and SaaS platforms - from MVP architecture and AI integration through production-scale engineering. 22+ years in IT | 99% Job Success | Top Rated Plus | 4.9/5 from 117 reviews | 152 Upwork jobs | 78K+ hours My strongest areas include: • AI/ML & Generative AI - LLMs, RAG, AI agents, NLP, document intelligence, predictive analytics, OpenAI, Azure OpenAI, Claude and LLM-powered automation • Healthcare Technology - EHR/EMR, FHIR, HL7, HEDIS, RCM, claims, prior authorization, telehealth and healthcare analytics • Data Engineering & AI Data Platforms - Python, PySpark, Databricks, Azure, AWS, SQL, data lakes, Snowflake and analytics • SaaS & Platform Engineering - multi-tenant SaaS, APIs, workflow automation, enterprise integrations and scalable cloud platforms • InsurTech - P&C/MGA platforms, claims workflows, policy administration and insurance automation • Cloud & Engineering - Azure, AWS, Kubernetes, Terraform, CI/CD and secure production deployment I work particularly well with founders, product teams and enterprises that have a complex business problem and need someone who can connect product requirements, architecture, AI/data strategy and engineering execution. Examples of problems I can help solve: → Build an AI/RAG knowledge platform or enterprise AI assistant → Extract and automate information from medical or business documents → Build healthcare AI, analytics or interoperability platforms → Modernize or build a data engineering/analytics platform → Develop an MVP into a secure, scalable SaaS product → Automate insurance/MGA/claims workflows with AI and modern APIs For larger initiatives, I can also bring experienced engineering resources across AI/ML, data engineering, backend, frontend, mobile, DevOps and QA. My approach is to understand the business outcome first, use proven reusable components where appropriate, design for security and scalability, and avoid unnecessary technical complexity. If you are building an AI product, healthcare platform, data platform, SaaS product or enterprise automation solution, let's discuss the problem, MVP scope and fastest path to production.