Vicente Caragol

Software Engineer

Building internal developer tools, IDE integrations, and CI/CD pipelines for global engineering teams.

Get in touch

01 / about

About me

I'm a software engineer with a background in electrical engineering and two years of experience building and maintaining internal tools for global R&D teams — IDE extensions, version control infrastructure, and CI/CD pipelines.

I have working knowledge of machine learning and data science, backend APIs, DevOps, source control platform administration, and the internal rollout of agentic AI tools, including MCP-based workflows. I have a strong background in root cause analysis and troubleshooting in complex systems.

I'm looking for a team where I can keep growing as a well-rounded engineer while contributing to meaningful, high-impact work.

Based in Santiago, Chile

02 / skills

Skills & tools

DevOps & Infrastructure

  • Docker
  • Kubernetes
  • AWS
  • Terraform
  • Helm
  • Git
  • GitHub Actions
  • Harness
  • Rancher
  • Perforce

AI & Agentic Systems

  • MCP
  • Skills
  • Agentic workflows
  • Agentic IDEs
  • AI Governance

ML & Data Science

  • Python
  • PyTorch
  • scikit-learn
  • XGBoost
  • Pandas
  • NumPy
  • OpenCV
  • Seaborn
  • Jupyter Notebooks

Web & Backend APIs

  • TypeScript
  • React
  • FastAPI
  • NestJS
  • Django
  • PHP
  • REST

Systems & Tooling

  • Bash
  • Perl
  • Unix shell
  • SQL
  • SSH
  • Apache

03 / journey

Experience & education

  1. Senior Software Engineer, Synopsys Central Engineering

    Jul 2024 — Present

    Synopsys Inc.

    Built a VSCode extension that integrates with an internal compiler, used by 300+ engineers monthly running 3,000+ builds per month. Participated in the internal rollout of agentic AI tools (GitHub Copilot, Cursor), including an internal licensing portal for 10,000+ users and training labs on IDE workflows and MCP integrations. Handled 800+ L1/L2 support requests, administered the Perforce source control platform, and maintained internal tooling documentation.

  2. BSc in Electrical Engineering, Minor in Computer Science

    2016 — 2023

    Universidad de Chile

    Thesis: optimizing data balancing techniques for an XGBoost-based stellar light-curve classifier, addressing class imbalance in astronomical light-curve time series.

  3. ML Demand Forecasting Intern

    Jan 2021 — Mar 2021

    Coordinador Eléctrico Nacional

    Implemented a machine learning model for electricity demand forecasting, achieving a 4.17% weighted error (MAPE) — a 35% improvement over the prior external model's 6.43%.

04 / learning

Continuous learning

I'm always trying to level up — picking up new certifications, courses, and side reading to keep my fundamentals sharp and stay current with the tools I use.

05 / contact

Let's talk

The fastest way to reach me is by email — I'll get back to you soon.

vicente.caragol.d@gmail.comGitHubLinkedIn