Romario Vaz

AI Software Developer at Siemens | Master’s in CS at the University of Ottawa

Canada

About

Forward-thinking versatile technology professional with a passion to develop innovative solutions to challenging problems.

Experience

  • AI Software Engineer at Siemens EDA (Siemens Digital Industries Software)
    Jul 2024 - Present · 2 yrs 1 mo

    • Built full-stack RAG systems with LLaMA, Phi, FastAPI, Elasticsearch/OpenSearch, and Milvus, enabling secure, scalable AI-powered applications. • Integrated LLMs with structured JSON outputs for downstream automation tasks; contributed to deployment and performance tuning. • Developed interactive UIs in React and TypeScript to support tools for data lake access and RAG-powered chatbots. • Owned major parts of MCP-based integrations for agentic workflows, covering backend orchestration, tool-calling support, and user-managed integrations across external tools and IDE clients such as VS Code and Cursor.

  • Co-op Software Developer, Data Server Tools, Back End Technologies at Kinaxis
    Sep 2023 - Dec 2023 · 4 mos

    • Developed Jenkins pipelines and scripts using Groovy, PowerShell, and Docker, in order to upgrade tools used by other developers, parallelize testing workloads over hundreds of Virtual Machines, etc. • Improved internal dashboards with revamped data integration and enhanced UI/UX using C#/.NET

  • Summer Technology Analyst at Morgan Stanley
    May 2023 - Aug 2023 · 4 mos

    • Contributed towards the Firm’s cloud-first strategy on enterprise applications providing bulk email services with analytics reporting, data loss prevention, complex personalizations, etc. using Java and Spring Boot. • Enabled cloud-based application configuration generation on AWS S3 buckets. • Upgraded 2 containerized applications on OpenShift (built on Kubernetes) to function completely on the cloud, by enabling persistent storage and configuration loading, using Java, Docker, and Helm charts.

  • Data Scientist at Intact
    Dec 2020 - Nov 2021 · 1 yr

    • Used data-driven solutions to accelerate commercial lines underwriting. • Collaborated with actuaries, data scientists, and software engineers, to develop machine learning solutions • Worked with statistical models including deep learning NLP Models like BERT.

  • HKSTP InnoAcademy - Technology Leaders of Tomorrow (TLT) Programme at HKSTP - Hong Kong Science and Technology Parks Corporation
    Oct 2020 - Nov 2020 · 2 mos

    HKSTP InnoAcademy is HKSTP’s new initiative to develop forward-looking learning and training programmes with our ecosystem partners to upskill talents & boost the competitiveness of Hong Kong’s innovation and technology (I&T) industry. During the programme, I received training and mentoring, participated in project-based activities, and received exposure to the Innovation and Technology ecosystem in Hong Kong & GBA. Throughout the 2-month internship at HKSTP, I worked on a group project with external consultants, that involved interviewing executives of various companies in Hong Kong, in order to identify gaps in the technology ecosystem in Hong Kong, and reach feasible solutions to rectify these issues.