I am a Senior AI-Focused Full Stack Software Engineer with over 13 years of experience building intelligent and scalable applications across various domains including finance, healthcare, e-commerce, education, and blockchain. I specialize in AI/ML safety, model validation, explainable AI, and developing real-time monitoring pipelines to ensure reliable and transparent AI deployments. My expertise extends to optimizing large language models and deploying AI-powered microservices on cloud platforms such as AWS, Azure, and GCP. Throughout my career, I have led multiple AI integrations including LangChain, OpenAI APIs, and vector databases to develop retrieval-augmented generation applications. I have a proven track record delivering data pipelines, anomaly detection systems, and predictive analytics platforms that align with compliance, security, and business goals. I enjoy collaborating closely with product and business teams to drive measurable outcomes and ensure robust AI governance.

Robert Correiro

I am a Senior AI-Focused Full Stack Software Engineer with over 13 years of experience building intelligent and scalable applications across various domains including finance, healthcare, e-commerce, education, and blockchain. I specialize in AI/ML safety, model validation, explainable AI, and developing real-time monitoring pipelines to ensure reliable and transparent AI deployments. My expertise extends to optimizing large language models and deploying AI-powered microservices on cloud platforms such as AWS, Azure, and GCP. Throughout my career, I have led multiple AI integrations including LangChain, OpenAI APIs, and vector databases to develop retrieval-augmented generation applications. I have a proven track record delivering data pipelines, anomaly detection systems, and predictive analytics platforms that align with compliance, security, and business goals. I enjoy collaborating closely with product and business teams to drive measurable outcomes and ensure robust AI governance.

Available to hire

I am a Senior AI-Focused Full Stack Software Engineer with over 13 years of experience building intelligent and scalable applications across various domains including finance, healthcare, e-commerce, education, and blockchain. I specialize in AI/ML safety, model validation, explainable AI, and developing real-time monitoring pipelines to ensure reliable and transparent AI deployments. My expertise extends to optimizing large language models and deploying AI-powered microservices on cloud platforms such as AWS, Azure, and GCP.

Throughout my career, I have led multiple AI integrations including LangChain, OpenAI APIs, and vector databases to develop retrieval-augmented generation applications. I have a proven track record delivering data pipelines, anomaly detection systems, and predictive analytics platforms that align with compliance, security, and business goals. I enjoy collaborating closely with product and business teams to drive measurable outcomes and ensure robust AI governance.

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Experience Level

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Expert
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Work Experience

Senior Deep Learning and Software Engineer at Rho Technologies
July 1, 2025 - September 1, 2025
Led integration of large language models via OpenAI APIs to automate customer support workflows, reducing resolution times by 60%. Designed HIPAA-compliant AI solutions for hospital networks, including claims processing with automated ICD-10 extraction achieving 94% accuracy. Developed and fine-tuned GenAI models for radiology report summarization and built EHR data processing microservices on Azure AKS and GCP GKE to integrate clinical data across over 200 hospitals, enhancing chronic care coordination by 25%. Architected fraud detection models used by millions, delivered GenAI proofs-of-concept improving efficiency through fine-tuning and quantization, and built real-time AI safety monitoring pipelines. Managed secure AI API gateways, multi-cloud deployments, and CI/CD automation across AWS, Azure, and Google Cloud.
Machine Learning Engineer at Aetna
December 1, 2019 - September 1, 2025
Developed staff delivery, purchasing, and marketing platforms engaging millions of users daily. Automated 80% of cloud infrastructure provisioning using Terraform and AWS CloudFormation. Improved test coverage substantially, reducing defects by 70%. Created predictive analytics pipelines and real-time recommendation engines with Databricks, AWS Lambda, and PyTorch, increasing upsells by 35%. Delivered client-side AI inference SDKs with WebAssembly acceleration. Built AI-powered microservices for credit risk modeling, implemented AI safety pipelines for AML/KYC compliance, and secured AI endpoints with OAuth2 and JWT. Enhanced mobile conversions and retention with PWA features and managed multi-cloud CI/CD pipelines.
Full Stack AI/ML Engineer at Discovery Education
June 30, 2017 - September 1, 2025
Developed AI-powered adaptive learning platforms using real-time analytics to personalize lessons, raising course completion rates by 28%. Built NLP models for automated grading, reducing teacher workload by 45%. Scaled assessment delivery microservices on AWS supporting over 500,000 learners. Led roadmap planning for AI-powered financial systems including microservices and Ethereum-based digital assets. Created active learning feedback tools to improve AI model retraining efficiency. Overhauled multiple apps to improve performance by 40% and ensured regulatory compliance in collaboration with risk teams. Delivered responsive user interfaces using React and Redux to boost engagement.
Full Stack Developer at StartTech
May 31, 2015 - September 1, 2025
Implemented continuous integration and performance optimizations reducing bugs and halving API response times. Led redesign of customer-facing digital products with React, Java, C#, and .NET, improving performance by 50%. Collaborated with mobile teams to deliver Android solutions, enhancing platform consistency and user satisfaction. Developed and optimized multi-channel customer experience solutions and integrated real-time analytics and cloud-based CX technologies. Engineered scalable APIs and CRM integrations to improve customer service efficiency. Designed user-friendly dashboards and real-time reporting tools to improve client visibility into customer engagement.

Education

Bachelor of Science in Computer Science at University of Miami
January 1, 2008 - January 1, 2014

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Education, Software & Internet