Hi, I’m Samuel Torres, a Senior AI & Full Stack Developer with 8+ years of experience designing scalable, secure, and high-performance systems in healthcare and fintech. I specialize in LLM engineering, RAG systems, multimodal AI, and cloud-native full-stack development. I build AI agents, predictive analytics, NLP/voice systems, multimodal pipelines, microservices, and multi-tenant SaaS platforms, delivering production-grade AI across clinical and financial environments.

Samuel Torres

Hi, I’m Samuel Torres, a Senior AI & Full Stack Developer with 8+ years of experience designing scalable, secure, and high-performance systems in healthcare and fintech. I specialize in LLM engineering, RAG systems, multimodal AI, and cloud-native full-stack development. I build AI agents, predictive analytics, NLP/voice systems, multimodal pipelines, microservices, and multi-tenant SaaS platforms, delivering production-grade AI across clinical and financial environments.

Available to hire

Hi, I’m Samuel Torres, a Senior AI & Full Stack Developer with 8+ years of experience designing scalable, secure, and high-performance systems in healthcare and fintech. I specialize in LLM engineering, RAG systems, multimodal AI, and cloud-native full-stack development.

I build AI agents, predictive analytics, NLP/voice systems, multimodal pipelines, microservices, and multi-tenant SaaS platforms, delivering production-grade AI across clinical and financial environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
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Work Experience

Senior AI & Full Stack Developer at Grupo 3698
September 1, 2022 - October 1, 2025
Architected a HIPAA-compliant EHR platform using Django, React, PostgreSQL, and AWS. Redesigned backend into scalable microservices with RBAC, audit logging, and encrypted storage to support 2,000+ patient records. Led AI initiatives across clinical and financial workflows, including LLM-based agents, predictive analytics, NLP/voice systems, and multimodal pipelines. Implemented industry-grade observability (Grafana, Prometheus) and 95% CI/CD automation using GitHub Actions, Docker, and Kubernetes. Built AI-driven automation workflows (n8n, UiPath, OpenAI, and Gemini APIs) that reduced clinic staff time by 10+ hours per week and achieved 91% automation accuracy via RAG-driven retrieval. Collaborated with clinical directors, compliance auditors, and ops managers to ensure HIPAA and data governance alignment.
AI Full Stack Developer at ContractPod AI
June 1, 2019 - August 1, 2022
Built a personalized AI sales & marketing bot using LangChain, RAG, and few-shot prompting, boosting lead qualification rate by 40%. Engineered weakly supervised toxic/spam classifiers achieving 0.89 F1 across multiple internal datasets. Orchestrated asynchronous FastAPI backend with Redis caching, reducing service latency by 35%. Created consumer-facing features and apps using Python, Django, React, HTML, and behavior-driven development, resulting in a 15% increase in user engagement and satisfaction. Managed URL routing and application parameters with Django configuration to optimize routing efficiency by 25%. Collaborated with product, growth, and analytics teams across three countries to define AI features for contract intelligence.
AI Full Stack Engineer at Yellow AI
June 1, 2017 - May 1, 2019
Built transformer-based recommender systems (BERT, T5) increasing conversions by 32% and generating $2.5M annual revenue. Engineered a dynamic pricing engine using XGBoost with real-time streaming data to optimize revenue. Created voice biometrics (7% EER) for personalized authentication across enterprise customers. Fine-tuned Llama models using financial archives and metadata, improving insight quality and retrieval relevance. Integrated Eleven Labs for automated voice responses in recommendation flows. Implemented RESTful API optimizations in Node.js with Meta AI integrations and caching, reducing latency and improving uptime. Deployed Go-based microservices for AWS Lambda and Docker, enhancing reliability.
AI Full Stack Developer at Mental Space Therapy
September 1, 2022 - October 2, 2025
Architected HIPAA-compliant EHR platform using Django, React, PostgreSQL, and AWS; supported 2,000+ patient records with encrypted storage, RBAC, audit logging, and fine-grained access controls. Redesigned backend into scalable microservices; improved API latency and system resilience during peak therapy sessions.

Education

Bachelor of Science in Computer Science at University of North Texas at Dallas
August 1, 2013 - May 1, 2017
Bachelor of Science at University of North Texas at Dallas
August 1, 2013 - May 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Financial Services, Software & Internet, Media & Entertainment, Gaming, Education, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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