Raul S. Email & Phone Number

California, United States

San Francisco Bay Area

- Leading global engineering teams (30+ engineers across 3 continents), overseeing the development and optimization of B2B products, including Voice API, data platforms for enterprise and self-service customers, and SDKs, alongside delivering Generative AI/ML solutions. Teams spanned North America, South America, and Asia, managing key products across multiple regions and time zones.- Spearheaded technical strategy for critical revenue streams, ensuring alignment with business objectives by driving the technical roadmap across diverse platforms and products. Collaborated with Product, Sales, and Marketing teams to deliver key performance results, directly impacting business metrics like product uptime, customer adoption rates, and system performance (e.g., 99.9% SLA adherence, latency reduction).- Defined and executed the long-term technical roadmap, ensuring vision, strategy, and execution were tightly aligned with business goals. Established technical KPIs such as time-to-market for new features, product stability - maintaining 99.9% uptime across critical services, and platform scalability, leveraging AWS, Azure, and on-prem datacenters for a cloud-agnostic infrastructure.-Built and scaled a brand-new engineering team in LATAM to deliver a highly resilient Ops platform, establishing key performance metrics such as operational efficiency, reduction in incident response time, and a 10% increase in platform stability within the first year.Technologies: Python, TensorFlow, Pytorch, Hugging Face, Kubernetes, Docker, GitLab CI/CD, Prometheus, Grafana

Reston, Virginia, United States

* Architected and implemented CI/CD pipelines for deploying PyTorch-based image recognition models onto Kubernetes clusters. Utilized Jenkins for automating model training, testing, and deployment processes. Integrated with AWS S3 for data storage and Elasticsearch/Kibana for log aggregation and monitoring.* Implemented and successfully deployed cloud-infrastructure, security tools, encryption and key management, Data Loss Prevention (DLP): to achieve SOC2 and FedRAMP moderate authorizationTechnologies: Java, C/C++, Python, Docker, AWS SageMaker, Elasticsearch, CloudFormation, AWS SNS/SQS, SpringBoot, AWS StepFunctions, Amazon Kinesis, AWS Lambda, S3, and JupyterNotebook, ONNX, PyTorch

Annapolis Junction, Maryland, United States

* Designed and deployed a collaborative ML platform to facilitate experimentation, model versioning, and collaboration among data scientists. Integrated Apache Airflow for orchestrating data pipelines, MLflow for tracking experiments and model versions, and GitLab for version control and collaboration.Technologies: C++, Java, Junit, SpringBoot, Hibernate, Python, MySQL, MongoDB, Centos, Elastic Search, Docker, AWS-EC2, Docker, K8, and Apache Kafka.

Bethesda, Maryland, United States

Led a global team responsible for the server development focused on design, coding, testing, and quality assurance of complex product features in SAP HANA – an in-memory database.• Revamped testing automation for critical product features, which achieved a 45% reduction in end-to-end testing duration.• Identified and addressed customer pain points through strategic product redesign and user experience improvementTechnologies: SAP HANNA, Java, C++, MVC pattern - Spring, Hibernate, Ruby on Rails, Oracle, MySQL, Sybase ASE, Derby, Solaris, and Jboss

Mclean, Virginia, United States

• Led a Booz Allen technical team, in a complex, matrixed organization, at Department of Defense which provided joint war fighter capabilities required to successfully execute missions assigned to them. I lead the team of 3 engineers, focused on the design, coding, testing of the system used in the theater and supporting it 24/7 on a rotational basis.• Led the development of an internal document management system called Documentum. It was designed to improve collaboration, organization, and access to the vast amount of documentation generated. It reduced document retrieval time by 35% due to centralized storage and powerful search capabilitiesTechnologies: Java, C++, Spring, Hibernate, JSP, JSTL, HTML, XML, Oracle, Hyperion, IBM Web Sphere.

Master Of Science - Ms, Computer Science

Concentration: AI/ML, Big Data

Master Of Business Administration - Mba

Concentration: General Management/ Entrepreneurship through Acquistion, Private Equity, Venture Capital

Bachelor Of Science - Bs, Computer Science

Activities and Societies: Rowing Club