Amador J

PredictionHealth

Oct 2022 - Jan 2026 • 3 yrs 3 mos

• Fine-tuned open-source LLMs (LLaMA, Mistral) using HuggingFace and LangChain, improving clinical decision-support accuracy by ~12%. • Built retrieval-augmented generation (RAG) systems with Azure AI Search and Pinecone, achieving 25% higher precision on clinical knowledge queries. • Developed multimodal GenAI prototypes combining text, speech, and emotion signals for clinician-facing tools. • Benchmarked proprietary LLMs against fine-tuned open-source models, contributing to cost/performance analyses influencing $1M+ annual vendor decisions. • Deployed low-latency inference pipelines across Azure AI, AWS SageMaker, and GCP Vertex AI, reducing response time by ~40%. • Designed and maintained FastAPI and gRPC services to integrate AI recommendations into clinical systems serving 10K+ daily users. • Optimized distributed training using Ray and GPU acceleration, cutting training time by ~30%. • Implemented MLOps workflows (CI/CD, MLflow, monitoring) to ensure reproducibility, observability, and compliance with healthcare regulations. • Mentored junior engineers and supported cross-timezone Agile teams, improving delivery consistency and team output.

Fullstack Developer

Feb 2021 - Jun 2022 • 1 yr 4 mos

Developed and launched mobile applications using React Native and Expo, integrating features such as Stripe payments, Push Notifications, and Google Maps. Improved web performance by using Next.js with SSR and SSG, achieving faster load times and better SEO. Implemented effective state management with Redux Toolkit, React Query, and Apollo Client. Built and deployed microservices using Docker, and hosted applications on AWS, Netlify, and Google Cloud to ensure scalability and high availability.