I am an AI and Software Engineer with extensive experience in software engineering, system design, and AI/ML solutions. I have strong skills across multiple programming languages and frameworks including Python, C++, Java, Go, and others, with deep expertise in AI/ML, NLP, and LLMs. I enjoy solving challenging problems by deploying scalable, cloud-native intelligent systems that integrate cutting-edge AI technologies.
Throughout my career, I’ve led projects in healthcare IT compliance, AI-powered NLP pipelines, and secure, cloud-based microservices environments. My passion lies in building efficient, reliable systems that improve operational workflows and deliver innovative AI-driven solutions to real-world problems. I collaborate closely with DevOps and research teams to ensure robust, secure production-grade deployments that meet industry standards.
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I led the development of a Hospital Information Management System designed to streamline hospital operations and improve patient care. The system integrated multiple hospital functions including patient registration, appointment scheduling, electronic medical records (EMR), billing, pharmacy management, and reporting.
Built a HIPAA-compliant environment leveraging OpenAI, integrating GPT-4 variants and embeddings to enable secure,
compliant AI-driven solutions.
• RAG has been applied to automatically generate radiology reports using GPT-3.5/4 combined with medical text
retrieval, yielding significantly improved clinical quality metrics.
• Executed Machine Learning algorithms to detect unauthorized access patterns and abnormal data activity.
• Built a web app using Python and Django / FastAPI integrated with OpenAI’s GenAI enabled clinicians to access organized timelines of patient histories.
• Ensured compliance with Japanese healthcare IT standards and international security frameworks (ISO 27001, HIPAA equivalent measures).
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