Sergio Verga

AI Engineer | ML Engineer

Sergio Verga

Building reliable data and AI pipelines for LLMs, robotics, and analytics.

AI/ML engineer with an MSc in Data Science and a BSc in Physics. I design data pipelines, evaluation loops, and LLM/RAG workflows that move research prototypes into reliable systems.

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FocusLLM/RAG
ResearchAgents/Robotics
SystemsEvaluation
01 // Featured ProjectsView all projects

Featured Projects

A focused snapshot of recent work spanning robotics, computer vision, and GenAI pipelines.

Automatic KPI Interpretation with Multimodal LLMs

Automatic KPI Interpretation with Multimodal LLMs

Interpreting business KPI dashboards with multimodal LLMs inside KNIME.

  • Built a modular LLM workflow to explain KPI shifts with structured summaries.
  • Highlighted anomalies and trends using multimodal dashboard inputs.
  • Delivered consistent, human-readable explanations for stakeholders.
GenAIKNIMELLMAnalytics
KNIME Hub
Vision-Language-Action (VLA) Models for Robotics

Vision-Language-Action (VLA) Models for Robotics

Multimodal agents for robotic pick-and-place following prompt-specified features.

  • Research activity (band 25CE114) with currently private repositories (paper under submission).
  • Benchmarked teleoperation interfaces (with 1-to-1 kynematic map) to train Imitation Learning models.
  • Experimented extensions of ACT model to support multi-tasking.
RoboticsVLAMultimodalDatasetEvaluation
LeRobotLeRobot Docs
02 // ExperienceFull experience

Experience

Research and engineering roles with a focus on data pipelines, evaluation, and ML systems.

Sunrise (Zurich, Switzerland) logo
Jun 2026 - Present
  • Designing and building agentic AI solutions on Google Cloud Platform, leveraging Vertex AI for model orchestration and deployment.
  • Developing MCP (Model Context Protocol) servers to connect agents with internal tools, data sources, and enterprise systems.
  • Engineering large-scale data processing pipelines that power agentic workflows in production.
03 // WritingRead all

Writing

Short technical pieces on analytics, KPI interpretation, and ML applications.

KNIME Blog

Automate KPI Report Interpretation and Insights with GenAI & KNIME

How to operationalize multimodal LLMs to interpret KPI dashboards inside KNIME.

KNIME Blog

6 CEO KPIs and How to Measure Them

A practical guide to metrics that leaders track and how to compute them reliably.

04 // Contact

Contact

Open to data engineering and AI engineering roles, collaborations, and research projects.

Open channel

sergioverga3005@gmail.com

Email SergioLinkedIn