Syed Hassan

AI Engineer – Healthcare Agentic AI & RAG Systems

Progressive Health Of Delaware • Período integral

Jul 2025 - Present • 10 mos

Overview: Specialized in building healthcare automation platforms using FastAPI, JavaScript, and Agentic AI with Retrieval-Augmented Generation (RAG) Designed and deployed an end-to-end AI system integrating patient and provider clinical workflows Focused on scalable architecture, real-world healthcare deployment, and workflow optimization System Architecture & Development: Built a patient-facing web application to capture and process real-time clinical data securely Developed a provider-facing Chrome extension integrated with Elation Health EHR Implemented Agentic AI pipelines for contextual medical assistance and intelligent data retrieval Engineered APIs and backend infrastructure using FastAPI for high performance and scalability Core Features Delivered Automated care plan generation using AI-driven clinical context Problem list automation and structured clinical documentation AI-powered medical assistance for providers based on patient history Billing workflow automation to streamline administrative processes Voice-assisted transcription and automated note generation Context-aware documentation aligned with clinical best practices Impact & Achievements Production system actively supporting 11,000+ patients Significantly reduced provider documentation time Improved clinical efficiency and workflow automation Successfully embedded AI into daily healthcare operations Delivered a scalable, reliable solution in a regulated clinical environment Technical Scope Full-stack system architecture and API design Chrome extension engineering and EHR integration Agentic AI and RAG implementation Real-world healthcare AI deployment

Data Scientist – AI & NLP Applications

3 Majors Private Limited • Período integral

Dec 2022 - Dec 2024 • 2 yrs

Description: Developed large-scale datasets and implemented OpenAI API for automated text analysis. Built an AI-powered MCQ preparation application for students, integrating NLP techniques to generate, evaluate, and optimize practice questions. Focused on end-to-end AI pipelines, from data preprocessing to model deployment, enhancing user experience and learning efficiency. Technologies used include Python, PyTorch, TensorFlow, Pandas, and NumPy. Skills: Data Science · NLP · OpenAI API · Python · PyTorch · TensorFlow · Pandas · MCQ Application Development · AI Integration

AI Research Intern (Medical AI & Computer Vision)

Higher Education Commission Pakistan & British Council • Meio período

Feb 2024 - Aug 2024 • 6 mos

Descriptionr: Worked on the UK–Pak Knowledge Corridor project “Diagnostic, Prognostic & Predictive Biomarkers in Oral Squamous Cell Carcinoma (ICRG-46).” Developed deep learning pipelines for histopathological image analysis, including a U-Net–based cell segmentation model and YOLO Ultralytics detection systems. Built data preprocessing and training workflows using PyTorch and TensorFlow, optimized model performance, and contributed to AI-driven diagnostic research in medical imaging. Skills (optional): Medical AI · Computer Vision · Deep Learning · PyTorch · TensorFlow · Image Segmentation · YOLO · Histopathology Analysis · NumPy · Pandas