Jason Hunter

Full-Stack Developer at Fitness Solutions OÜ

Architected and led the development of a new AI-powered telehealth platform using React, Vite, and Node.js/Express, creating the core infrastructure for real-time patient monitoring. Integrated advanced analytical capabilities by engineering a Python microservice with FastAPI to analyze user-submitted voice and video for early-stage Parkinson's symptoms, serving the main Node.js application. Spearheaded the migration of a monolithic payments backend to a microservices architecture using Node.js, Docker, and Kubernetes, improving service independence and reducing deployment conflicts by 90%. Acted as a key technical liaison between the development team and product managers, translating business needs into detailed technical specifications, which reduced feature rework by 25%.

Full Stack Developer at Seedium

Led the frontend development for the company's flagship financial analysis product, building a highly responsive and data-rich user interface with Next.js and React. Architected the supporting backend, including a high-performance news aggregation API with Python (FastAPI) and a data pipeline that used OCR and LLMs to enrich content. Optimized end-to-end application performance by implementing server-side rendering with Next.js and a Redis caching layer, reducing average page load time by 60%. Promoted to Software Developer after 9 months in recognition of strong technical contributions and consistent high performance.

Associated Full Stack Developer at Seedium

Contributed to the development of a new FinTech SaaS product. Collaborated in an Agile team to deliver over 10 features, consistently meeting sprint goals and gaining foundational professional development experience.

Full-Stack Developer at Fitness Solutions OÜ

Architected and led the development of an AI-powered telehealth platform using React, Vite, and Node.js/Express, creating the core infrastructure for real-time patient monitoring. Engineered a Python FastAPI microservice to analyze user-submitted voice and video for early-stage Parkinson's symptoms, serving the main Node.js application. Migrated the payments backend from a monolith to a microservices architecture (Node.js, Docker, Kubernetes), improving service independence and reducing deployment conflicts by 90%. Served as technical liaison between developers and product managers, translating business needs into technical specifications and reducing feature rework by 25%.

Full Stack Developer at Seedium

Led frontend development for the flagship financial analysis product with Next.js and React. Architected backend with Python (FastAPI) for a high-performance news aggregation API and a data pipeline using OCR and LLMs to enrich content for the Next.js application. Optimized performance with server-side rendering and a Redis caching layer, reducing average page load time by 60%.

Associated Full Stack Developer at Seedium

Contributed to the development of a new FinTech SaaS product; collaborated in an Agile team to deliver over 10 features, meeting sprint goals and gaining foundational experience in a professional development environment.

Full-Stack Developer at Fitness Solutions OÜ

Architected and led the development of an AI-powered telehealth platform using React, Vite, and Node.js/Express, establishing the core infrastructure for real-time patient monitoring. Built a Python FastAPI microservice to analyze user-submitted voice and video for early-stage Parkinson's symptoms, integrating with the main Node.js application. Migrated the payments backend from a monolith to a microservices architecture using Node.js, Docker, and Kubernetes, improving service independence and reducing deployment conflicts by 90%. Served as a liaison between developers and product managers, translating business needs into technical specifications to reduce feature rework by 25%.

Full Stack Developer at Seedium

Led frontend development for the flagship financial analysis product, delivering a highly responsive data-rich UI with Next.js and React. Architected backend, including a high-performance news aggregation API using Python (FastAPI) and a data pipeline that used OCR and LLMs to enrich content for the Next.js application. Optimized end-to-end performance through server-side rendering with Next.js and a Redis caching layer, reducing average page load time by 60%. Promoted to Software Developer after 9 months for strong technical contributions and consistent high performance.

Associated Full Stack Developer at Seedium

Contributed to the development of a new FinTech SaaS product. Collaborated in an Agile team to deliver over 10 features, consistently meeting sprint goals and gaining foundational experience in a professional development environment.

Full-Stack Developer at Fitness Solutions OÜ

Architected and led the development of a new AI-powered telehealth platform using React, Vite, and Node.js/Express, creating the core infrastructure for real-time patient monitoring. Integrated a Python microservice with FastAPI to analyze user-submitted voice and video for early-stage Parkinson's symptoms, serving the main Node.js application. Spearheaded the migration of a monolithic payments backend to a microservices architecture using Node.js, Docker, and Kubernetes, improving service independence and reducing deployment conflicts by 90%. Acted as a key technical liaison between the development team and product managers, translating business needs into detailed technical specifications, which reduced feature rework by 25%.

Full Stack Developer at Seedium

Led the frontend development for the company's flagship financial analysis product, building a highly responsive and data-rich user interface with Next.js and React. Architected the supporting backend, including a high-performance news aggregation API with Python (FastAPI) and a data pipeline that used OCR and LLMs to enrich content for the Next.js application. Optimized end-to-end application performance by implementing server-side rendering with Next.js and a Redis caching layer, reducing average page load time by 60%.

Associated Full Stack Developer at Seedium

Contributed to the development of a new FinTech SaaS product. Collaborated in an Agile team to deliver over 10 features, consistently meeting sprint goals and gaining foundational experience in a professional development environment.

Senior Software & AI Engineer at Fitness Solutions OÜ

Designed and implemented a real-time telehealth platform using React, Node.js/Express, and Vite; built Python microservices with FastAPI for multimodal patient data analysis; migrated monolithic backend to microservices with Docker and Kubernetes; ensured GDPR-compliant data handling in healthcare; developed a deep learning pipeline (PyTorch) for CT/MRI anomaly detection; integrated the model into a clinician dashboard; deployed via FastAPI microservice and PostgreSQL; enabled faster doctor queries of patient records by ~40% compared to manual search.

Architected and led development of a multi-tenant Retrieval-Augmented Generation (RAG) platform using LangChain and LlamaIndex with pgvector and Weaviate for semantic search, enabling support teams to resolve tickets ~35% faster.

Led UI/UX development of the flagship fintech data analytics platform using Next.js, React, and Material-UI; built Python microservices with FastAPI for multimodal financial data; migrated monolithic backend to microservices with Docker + Kubernetes; collaborated with cross-functional teams to ensure GDPR-compliant data handling; developed an AI-powered data enrichment pipeline and NLP components; deployed and monitored services via OpenTelemetry, Prometheus, Grafana; enabled rapid clinical/test data visualization and dashboards.

Full Stack Developer at Seedium

Contributed to the development of a FinTech SaaS product, collaborating closely with designers, backend engineers, and QA teams; implemented core product features in React and Node.js including user authentication, dashboards, and payment integration.

Senior Software & AI Engineer at Fitness Solutions OÜ

Designed and implemented a telehealth platform for real-time patient monitoring using React, Node.js/Express, and Vite. Built Python microservices with FastAPI for multimodal patient data analysis (voice, video, wearable signals), enabling early detection of neurological conditions. Migrated monolithic backend to microservices with Docker and Kubernetes, improving scalability and deployment reliability. Partnered with healthcare teams to ensure GDPR-compliant data handling across the platform. Developed a deep learning pipeline (PyTorch) for CT and MRI scan anomaly detection, assisting radiologists in diagnosis. Integrated the model into a clinician dashboard (React + DICOM viewer). Achieved 92% accuracy in validation tests. Built an NLP model using transformers (BERT) to extract structured insights from unstructured clinical notes (risk factors, treatment history). Deployed via FastAPI microservice and PostgreSQL for queryable insights. Enabled doctors to query patient records 40% fas