Hello, I'm
Carl Patdu
Software & AI/ML Engineer
I build intelligent systems in healthcare, edtech, and the construction industry—beginning from HIPAA-compliant AI agents to adaptive learning platforms and smart infrastructure solutions.
Get to know me
About Me
I'm a Software & AI/ML Engineer with 6+ years of experience building intelligent, production-grade systems. My work sits at the intersection of two domains I care deeply about: AEC AI, Healthcare AI and EdTech where technology can genuinely improve lives.
I specialize in LLM agents, RAG pipelines, and agentic AI workflows using LangChain, LangGraph, and AWS Bedrock. I've architected HIPAA-compliant platforms, deployed clinical automation systems, and built multilingual AI storytelling experiences for children. I bring both the engineering rigor and the domain empathy needed to ship AI that actually works in the real world.
What I've built
Portfolio
What I specialize in
Areas of Focus
I build AI-powered healthcare systems that are secure, compliant, and clinically meaningful. From architecting HIPAA-compliant platforms on AWS to deploying LLM agents that automate patient onboarding and clinical workflows my work reduces operational overhead while keeping patient data safe. I've improved support query resolution accuracy by 82% using custom RAG pipelines, and cut model hallucinations by 28% through structured prompt guardrails. Every solution I build in this space is designed with trust, accuracy, and regulatory compliance at its core.
I am familiar with the AEC (Architecture, Engineering, and Construction) industry and have experience building AI-powered digital platforms for design and construction workflows. I understand how architects, engineers, home builders, and clients work together during planning, design, visualization, and cost estimation phases. My experience includes developing web-based tools for floor plan generation, BIM-based 3D modeling, real-time collaboration, and construction cost estimation. I have also worked with technologies commonly used in the AEC space, including BIM workflows, parcel data integration, generative AI systems, and cloud-based 3D visualization platforms.
Where I've worked
Experience
- Led AI/ML architecture design for a HIPAA-compliant healthcare platform serving thousands of patients
- Built and deployed LLM agents for clinical onboarding and workflow automation using LangChain and OpenAI
- Engineered custom RAG pipelines with FAISS and Pinecone, improving query resolution accuracy by 82%
- Reduced LLM hallucinations by 28% through structured prompt guardrails and constrained generation
- Architected secure AWS infrastructure including Lambda, Kinesis, and Bedrock integrations
- Built a multilingual AI storytelling platform for children aged 4 ~ 7 using generative AI and Python/Flask
- Integrated Amazon Polly for natural text-to-speech narration across multiple languages
- Implemented LangGraph agentic workflows for dynamic, context-aware story generation
- Established ML feedback loops with Databricks and MLflow to continuously improve model quality
- Achieved 91% chatbot success rate on the enterprise support assistant
- Developed full-stack web applications for clients across multiple industries
- Built RESTful APIs with Node.js and Django, integrating with third-party services
- Implemented real-time features using Socket.io for live notifications and chat
- Delivered the Home Services Marketplace platform from design to production
- Built and maintained web applications for Australian clients using React and AngularJS
- Collaborated in Agile/Scrum teams, participating in sprint planning and code reviews
- Developed reusable component libraries and improved frontend performance
What I work with
Skills
Academic background
Education
Let's connect
Get In Touch
I'm open to new opportunities in Software and AI/ML engineering. Whether you have a project in mind, want to collaborate, or just want to say hi — my inbox is always open.