Amirali (Ali) Yousefli

Led the full product lifecycle for 14+ AI tools, from ideation and PRDs to development, deployment, and iteration. Built autonomous news agents, proposal writers, and competitive intelligence systems. Automated complex consulting workflows by mapping processes, engineering context, running LLM evals, architecting database and RAG infrastructure, and collecting human-in-the-loop feedback.

This web app leverage AI advancements to empower patients in healthcare interactions by equipping them with knowledge to understand their medical conditions, enabling effective self-advocacy and participation in treatment decisions, facilitating informed second opinions on diagnoses and treatment plans, and reducing medical errors through patient education and engagement. FastAPI Python backend (deployed on Railway), MongoDB for data storage, Supabase for sign-in and authentication, AI integrations (OpenAI, Anthropic and Perplexity APIs), React & CSS for the responsive frontend

Developed a self-service medical consultation web application, enabling patients to receive AI-generated medical guidance. System workflow: symptom assessment, differential diagnosis generation, Perplexity API research integration, follow-up questions for final diagnoses, personalized treatment plans, and comprehensive pdf reports for patients to share with healthcare providers. FastAPI Python backend, MongoDB for data storage, AI integrations (OpenAI and Perplexity APIs), React 18 & Bootstrap 5 for the responsive frontend, connected through RESTful API endpoints with Axios. Dr.Caring AI web application is accessible at: https://caringai.ali-yousefli.com

Designed and implemented a modular healthcare system on the n8n platform featuring specialized AI agents for patient interviews, research, lab tests, medical imaging, diagnosis, treatment, and patient education. Implemented sophisticated orchestration layer using OpenAI API, creating seamless communication pathways between specialized medical AI agents.

Implemented Reinforcement Learning from Human Feedback to optimize large language model responses for healthcare contexts. Engineered the system to generate responses that demonstrate empathy with patients, cultural sensitivity, and adherence to best bedside medical practices, significantly enhancing the patient experience.

Applied Low-Rank Adaptation (LoRA) techniques to efficiently fine-tune Llama 3.2 3B on the MedQA multiple-choice question dataset. Optimized model parameters for medical diagnostic reasoning while maintaining computational efficiency, resulting in improved diagnostic accuracy on complex medical cases.

Conducted comprehensive research on LLM implementation in clinical environments, resulting in a 30-page paper examining architectural approaches, performance metrics, and integration challenges. Analyzed security considerations and explored potential regulatory frameworks for AI deployment in healthcare settings.

Developed and implemented a secure dual-LLM architecture with Retrieval-Augmented Generation (RAG) integration for personalized healthcare recommendations. Created sophisticated prompt engineering techniques and knowledge base integration systems running locally to ensure data privacy while delivering clinically relevant insights to patients and healthcare providers.

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Acted as strategic force-multiplier for the CEO, architecting the startup's operating system by integrating CRM, Notion, Python, n8n, and PostgreSQL to scale service delivery across all business functions. Delivered strategic consulting to a direct-to-patient pharmacy client, analyzing the U.S. patented drug landscape to identify optimal pharmaceutical company partners for market expansion.

Designed and evaluated business strategies for U.S. market entry through comprehensive analysis of stakeholder needs, focusing on strategic partnerships with private pay clinics and reimbursement pathways. Conducted thorough portfolio analysis of U.S. Alzheimer's disease market and developed data-driven insights to guide strategic decision-making for market penetration.

Conducted comprehensive market analysis of anti-CD38 antibody therapy market and antibody engineering partnerships, providing strategic revenue forecasts and competitive intelligence. Created comprehensive NPV valuation models integrating DCF analysis while identifying and prioritizing critical business workstreams including patent strategy and proof-of-concept acceleration.

Conducted market research and business model development for innovative rural healthcare delivery system at Dartmouth Health System. Analyzed reimbursement pathways and stakeholder needs to create sustainable implementation strategy for extending hospital-level care to rural homes.

Led Kaizen events, delivering $1M+ cost savings by strategically improving U.S. Manufacturing processes. Programmed a reusable 21-step VBA script that structured, sanitized, analyzed, and visualized vast amounts of raw data instantly, saving 100+ hours while maintaining the highest quality standards for healthcare products.

Conducting in-depth research through literature review and interviews with 15+ leaders in healthcare AI to develop a structured implementation framework addressing technical infrastructure, clinical workflow integration, and business sustainability. Analyzing ethical considerations and bias mitigation strategies for AI deployment in diverse healthcare environments.

Pursuing specialized training in healthcare systems, population health, and evidence-based intervention design. Focusing on integrating technological innovation with public health approaches to create scalable solutions for healthcare challenges across diverse populations.

Applied business strategy and healthcare expertise to support elderly care non-profit organization through Tuck Community Consulting. Developed innovative approaches to service delivery and operational efficiency for vulnerable populations.

Volunteered at the Emergency Department at St. Boniface Hospital, gaining valuable frontline healthcare experience and developing deep understanding of patient needs and healthcare delivery challenges.

Designed and executed innovative experimental projects to advance drug development and upstream efficiencies. Led cross-functional projects to optimize production and isolation of Active Pharmaceutical Ingredients (APIs), earning multiple awards for collaboration, perseverance, quality, and successfully fulfilling third-party contracts.

Led two major research projects: (1) Histological Studies on Mice Myocardium: conducted histological analysis of cardiac tissue to evaluate drug effects, managed tissue preparation, and performed H&E/Trichrome staining for pathological evaluation. (2) In-vitro Assays of Snake Venom Metalloproteases: optimized FPLC protocols to isolate SVMPs from 13 venom samples, implemented Bradford assays for quantification, characterized properties through Zymography and SDS-PAGE, and established hemolytic activity profiles. Developed documentation including procedures, calculations, and research reports.