Open to opportunities

Samuel Rios

@samuelrios

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Senior AI Python developer building scalable ML systems, RAG solutions, and cloud-native backends.

Portugal

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What I'm looking for

I seek technical roles building production-grade AI/ML systems and LLM integrations in secure, collaborative teams with strong emphasis on MLOps, scalability, and impact.

I am a Senior Python Engineer and AI specialist with 8+ years building scalable backend systems, production ML pipelines, and cloud-native applications across Healthcare and FinTech. I specialize in Python frameworks (Django, FastAPI, Flask), microservices, high-throughput data processing, and LLM engineering including RAG systems with LangChain, Hugging Face, AWS Bedrock, and Azure OpenAI.

I have delivered multi-tenant SaaS platforms and MLOps pipelines serving large user bases, improved API latency and resilience, and deployed production RAG and vector-search solutions that reduced hallucinations and automated tasks with high accuracy. I partner closely with product, compliance, and clinical teams to ensure secure, compliant, and observable production systems.Yes, I’ve built production-grade apps with React and React Native, including AR-enabled real estate platforms and cross-platform apps with shared logic layers.I have over 5 years of professional experience in software engineering, specializing in web, mobile, and AI-integrated applications.

Experience

Work history, roles, and key accomplishments

Senior AI FullStack Developer

MentalSpace Therapy

Sep 2022 - Oct 2025 (3 years 1 month)

Architected a HIPAA-compliant EHR platform and refactored backend into modular services, improving API latency by 30% and supporting 2,000+ patient records while establishing end-to-end MLOps and observability.

Python Django fastAPI AWS MLOps Pgvector PostgreSQL MLFlow

AI Full Stack Developer

ContractPodAI

Jun 2019 - Aug 2022 (3 years 2 months)

Built AI-powered contract analysis and RAG pipelines, improving clause extraction accuracy by 40% and deploying scalable FastAPI microservices to reduce latency by 35% for a multi-tenant platform serving 200k+ concurrent users.

Python Django fastAPI Hugging Face Elasticsearch AWS Sagemaker Celery Kubernetes Redis

AI Full Stack Engineer

Yellow AI

Jun 2017 - May 2019 (1 year 11 months)

Engineered conversational recommendation systems and dynamic pricing models, increasing conversions by 32% and revenue by 20%, and scaled NLP embedding pipelines to index 500K+ interaction records.

Python PyTorch XGBoost NLP Word2Vec AWS REST APIs WebSockets

Education

Degrees, certifications, and relevant coursework

University of North Texas at Dallas

Bachelor of Science, Computer Science

2013 - 2017

Completed a Bachelor of Science in Computer Science with coursework in software engineering, algorithms, and systems development from August 2013 to May 2017.