# Raymond Febles > Senior Software Engineer | Full Stack | E-commerce • Healthcare • Finance | Cloud + AI/ML Solutions Location: Tampa, Florida, United States Profile: https://flows.cv/raymondfebles I’m a Senior Full Stack Engineer with 10+ years of experience building scalable, cloud-based applications and integrating practical AI/ML capabilities into production systems across Social Media, Healthcare, E-commerce, Finance, and Technology. I work across modern front-end stacks (React, Angular, Vue, Next.js) and back-end platforms (Node.js/Express, .NET, Python, Go, Java/Spring Boot), with strong experience designing APIs and data-heavy services. I’m comfortable with both SQL and NoSQL data stores including PostgreSQL, MySQL, SQL Server, MongoDB, Redis, and I focus on performance, security, and maintainability. On the cloud and DevOps side, I use AWS and Azure with Docker, Kubernetes, Terraform, and CI/CD pipelines to automate delivery, improve reliability, and scale systems efficiently. For AI/ML, I help teams turn models into real product features. I’ve implemented recommendation, forecasting, classification, and NLP/LLM workflows using tools like PyTorch, TensorFlow, scikit-learn, XGBoost/LightGBM, and modern LLM frameworks (Hugging Face, OpenAI APIs, LangChain, LlamaIndex). I also build retrieval and semantic search solutions with embeddings and vector stores (e.g., SentenceTransformers, FAISS, Pinecone), and I’ve supported training and deployment workflows using platforms such as SageMaker, Azure ML, Vertex AI, and MLflow/Databricks when appropriate. I’m known for strong ownership, clear communication, and clean architecture. I enjoy mentoring engineers, partnering with product teams, and delivering reliable software that turns complex requirements into measurable business outcomes. ## Work Experience ### Senior Software Engineer @ Far Out Solutions Jan 2022 – Jan 2026 | Winter Park, FL Led end-to-end design and development of a full-stack social media platform, delivering core features like profiles, posts, comments, messaging, and real-time notifications. Integrated AI/ML capabilities to improve the user experience and trust & safety, including personalized feed recommendations, an AI support chatbot, and an NLP-based moderation workflow to flag harmful content across text, images, and video. Extended the same architecture for regulated-use cases by supporting healthcare and financial services clients, emphasizing strong access controls, audit logging, and secure data handling. In healthcare contexts, aligned workflows with privacy expectations and implemented safeguards for sensitive data (e.g., permissioned access, encryption, and traceability). In financial contexts, supported risk-aware features like enhanced monitoring, anomaly detection patterns, and reporting-ready data pipelines to improve reliability, compliance readiness, and monetization outcomes. ### Full Stack Engineer @ IT Pros Jan 2018 – Jan 2021 | Miami, Florida, United States Designed and delivered a patient management platform used by healthcare providers, supporting scheduling, secure record access, and billing workflows while meeting HIPAA-aligned privacy and security requirements. Added AI/ML features to improve clinical and operational efficiency, including risk scoring for chronic care programs, NLP-based summarization of long patient histories to reduce documentation time, no-show prediction to optimize appointment utilization, and an AI triage assistant to handle common patient requests and route complex cases appropriately. Coordinated HL7/FHIR-based integrations with external partners to enable interoperability across EHR/EMR systems and reduce manual data entry. Also contributed to eCommerce initiatives by building and optimizing customer-facing flows such as product discovery, search and filtering, checkout, and order tracking. Implemented integrations with payment providers, shipping/fulfillment systems, and customer support tooling, while improving conversion through performance tuning, analytics instrumentation, and A/B testing. Strengthened reliability and trust with secure authentication, fraud-aware guardrails, and scalable APIs capable of handling peak traffic during promotions. ### Full Stack Developer @ Informulate Jan 2014 – Jan 2017 | Orlando, Florida, United States Built and scaled a food delivery eCommerce platform supporting high order volume, delivering core features across catalog/menu management, search, checkout, payments, promotions, order tracking, notifications, and customer history. Integrated payment and financial workflows with providers such as Stripe and PayPal, including webhook handling, refunds, and reconciliation-friendly transaction records. Introduced data-driven optimization features to improve conversion and operations, including personalized item ranking/recommendations, demand forecasting to support delivery capacity planning, and fraud/anomaly scoring to flag suspicious orders. Improved reliability and scalability through performance tuning, resilient service design (idempotency/retries), and production monitoring to support peak traffic during promotions. ### Web Developer @ MoseSys Jan 2012 – Jan 2014 | Venice, Florida, United States Worked as a Web Developer, building and maintaining responsive web applications and supporting backend APIs. Developed core features like user accounts, search, forms, and payment/checkout flows, and integrated third-party services such as payment providers and email/SMS notifications. Improved performance, fixed production issues, and collaborated with designers and product teams to deliver clean, reliable user experiences. ## Education ### Bachelor's degree in Computer Science University of Florida ## Contact & Social - LinkedIn: https://linkedin.com/in/raymond-febles - GitHub: https://github.com/prymskiwen --- Source: https://flows.cv/raymondfebles JSON Resume: https://flows.cv/raymondfebles/resume.json Last updated: 2026-04-18