Sagar Ashraf

About Sagar Ashraf

About / Professional SummaryI’m Sagar Ashraf, a Senior Software Developer with 5+ years of experience, currently working onsite at HospiceMD, Inc. in West Covina, California.I specialize in developing AI-driven healthcare systems and Agentic AI applications, combining Large Language Models (LLMs), Flask/Python, and AWS Cloud to deliver secure, scalable, and HIPAA-compliant digital health solutions. My focus is on using AI to make healthcare smarter, faster, and more human-centered.At HospiceMD, I lead projects like the Ambient Listening in Healthcare System (OpenAI, LangChain, Flask) that enhance healthcare assessments through smart contextual understanding and structured AI insights. I also architect and maintain the Family Portal, a React-based Remote Patient Data Management System, enabling secure, real-time access for families and caregivers.Previously, I served as Senior Software Developer (Team Lead) at ILI.DIGITAL AG, Germany, leading enterprise projects for global clients such as TE, BASF, and KSC. Education:MSc (Distinction) – Advanced Big Data Analytics & Artificial Intelligence, Edge Hill University (UK)MPhil (Distinction) – Computer Science, Forman Christian College (A Chartered University)BS (Hons) – Computer Science, Forman Christian College (A Chartered University) Research Interests:Natural Language Processing (NLP)| Large Language Models (LLMs)| Agentic AI | Autonomous SystemsI’m passionate about building intelligent, autonomous, and context-aware AI systems that transform healthcare and enterprise applications through innovation and automation.#AgenticAI #AI #LLM #NLP #Python #AWS #ReactJS #NodeJS #MachineLearning #BigData #HealthcareTech

Experience

1. Sr Software Developer (Ai Solutions Architect and Engineer)

   Hospicemd, Inc

   Sep 2021 — Present · West Covina, CA, US

   Key Responsibilities & Achievements:Ambient Listening in Healthcare System (AI/LLM Projects):Fine-tuned OpenAI GPT-based models and implemented LangChain-based AI workflows to provide structured, context-aware nursing assessments.Developed Flask-based AI microservices with Pydantic validation to ensure reliable real-time processing.Created custom AI prompts for nurses, improving real-time documentation and clinical decision-making.Deployed LLM models on AWS (Lambda, ECS, S3) for scalable, fault-tolerant, and HIPAA-compliant operations.Integrated webhooks and APIs for seamless real-time interaction between AI services and healthcare applications.Family Portal – Remote Patient Data Management System:Architected and developed a React-based portal for families and caregivers to access real-time patient data.Implemented secure API integrations with EHRs and hospital systems.Designed dashboards for vital signs, medication schedules, and care plans.Enforced HIPAA-compliant authentication and authorization workflows for patient privacy.AI & Cloud Infrastructure:Trained and deployed Python-based AI/NLP solutions for predictive analytics, automated insights, and decision support.Built AWS cloud infrastructure for LLM services with serverless and containerized deployments.Implemented access control, encryption, and audit logging to secure PHI across AI workflows.Other Responsibilities:Integrated legacy systems with modern web applications to ensure continuity.Optimized code and workflows for performance, usability, and maintainability.Collaborated cross-functionally to deliver scalable, secure, and AI-enhanced healthcare solutions.

Education

• Edge Hill University

  MSC Big Data Analytics (Level -7), Artificial Intelligence

• Forman Christian College (A Chartered University)

  MS Computer Science (Level -7), Mathematics and Computer Science

• Forman Christian College (A Chartered University)

  Bachelors in Computer Science (hons), Computer Engineering