ML/AI Software Engineer

Building
Intelligent
Systems

ML/AI & SoC Automation at Marvell Technology
Bridging deep learning with hardware engineering.

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01

Experience

ML/AI Software Engineer

Intern • Current

Marvell Technology — CAD/EDA Group

  • Lead architecture and implementation of a full-stack AI/ML software project, bridging Deep Learning with SoC engineering
  • Designed infrastructure with RabbitMQ, and QDrant in containerized environments
  • Developed Python pipelines for NLP workflows using industry EDA tools
  • Presented technical architecture to a Senior VP and Distinguished Engineers
Python Docker QDrant RabbitMQ NLP Tcl Soft skills

Backend Developer

2023 — 2025

kos.gg

  • Maintained Kotlin backends for real-time gaming analytics using Riot Games and Raider.io APIs
  • Implemented functional programming patterns with Arrow-kt and database migrations with Flyway
Kotlin Ktor PostgreSQL
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Projects

Light Chess

Lightweight chess engine in C++ compiled to WebAssembly via Emscripten. Engineered reusable logic achieving near-native browser performance. Play

C++ WASM Emscripten

Cartoon Recognition

Supervised learning model (SVM/k-NN) to classify animated shows with 93.5% precision. Focused on feature extraction and data augmentation.

ML MATLAB Computer Vision

Movie Recommender

Collaborative filtering on large-scale datasets using MapReduce paradigms for parallel computation. Computes with MapReduce paradigm to enhance performance.

MapReduce Python

Whisper

A peer-to-peer communication app built with WebRTC. Connect directly for private chatting, voice/video calls, screen sharing, and file transfers. Source

WebRTC Go JavaScript
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Skills

Languages

C/C++ Python JavaScript HTML CSS GLSL Kotlin Java Haskell Lua

Infrastructure

Docker/Podman RabbitMQ PostgreSQL QDrant ElasticSearch

Others

System Architecture Data structures NLP Algorithms OpenMP Parallel Computing
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Contact

Interested in working together?
Let's connect.

vicolorajorge@gmail.com

B.S. Informatics Engineering — UPC Barcelona