Daniele Mingolla

AI Engineer | Ex-Amazon

Barcelona, Catalonia, Spain

About

I build AI systems that ship. ๐—˜๐—บ๐—ฎ๐—ถ๐—น: [email protected] ๐—ช๐—ฒ๐—ฏ๐˜€๐—ถ๐˜๐—ฒ: https://danielemingolla.com/ At OpenNebula I contribute to OneAI, a CLI that deploys LLM-serving VMs in one command, and built the open-source MCP server (one-mcp) that cuts cloud management time via natural language. Speaker at FOSDEM 2026 and Open Source Experience 2025. ๐—ฃ๐—ฟ๐—ฒ๐˜ƒ๐—ถ๐—ผ๐˜‚๐˜€๐—น๐˜†: ML recommendation systems at Glovo (โ‚ฌ4M projected annual impact), game analytics and ETL at SocialPoint, and data engineering at Amazon. I also founded TechPuente (SaaS + growth via TikTok and SEO) and host the yLearner Podcast on career growth and business. ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น: LLM fine-tuning, vLLM, RAG, MCP, LangChain ยท PyTorch, Hugging Face ยท AWS, Docker, Kubernetes, Spark, FastAPI, MLOps ยท Causal inference, A/B testing. Open to technical collaborations and speaking. Reach out: [email protected]

Experience

  • AI Engineer at OpenNebula Systems
    Mar 2025 - Present ยท 1 yr 5 mos

    โ€ข Implemented fine-tuning workflows and automated GPU scheduling (PCI passthrough for H100/A100/V100) for the OneAI CLI, enabling one-command LLM deployment across OpenNebulaโ€™s 5,000+ cloud installations. โ€ข Built a dependency-free Time Series Forecasting SDK (NumPy/Polars) using Gradient Boosting and Fourier Transforms for predictive VM scaling, reducing cloud operational costs by 15%. โ€ข Authored and released one-mcp, an open-source MCP server connecting LLMs to cloud infrastructure, enabling natural language DevOps and cutting cloud management time by 40%. โ€ข Speaker at FOSDEM 2026 (Brussels) and Open Source Experience 2025 (Paris) on AI-assisted cloud management and the OneAI architecture.

  • Data Scientist at Glovo
    Mar 2024 - Mar 2025 ยท 1 yr 1 mo

    โ€ข Designed and analyzed A/B tests across multiple domains (UX, email, promos), collaborating with PMs and SWEs on experiment design, implementation, and statistical analysis. โ€ข Worked on the recommendation system for in-app ranking and personalized communications (email/push), orchestrating implementation across teams with projected โ‚ฌ4M annual GMV impact. โ€ข Validated EU discount policy impact through causal inference, proving fraud reduction (99.6%) without business degradation, enabling policy rollout across operating markets.

  • Data Scientist at Socialpoint
    Jan 2023 - Mar 2024 ยท 1 yr 3 mos

    โ€ข Analyzed arena mode matchmaking data to identify engagement bottlenecks, driving game design improvements that increased ARPU by 5%. โ€ข Developed genetic algorithm for game balancing automation, reducing game designersโ€™ manual workload by 70% while preserving gameplay quality. โ€ข Architected ETL pipeline for real-time game metrics across 4 teams, reducing weekly reporting time from hours to minutes.

  • Data Engineer at Amazon
    Jul 2022 - Nov 2022 ยท 5 mos

    โ€ข Optimized Spark job performance through code refactoring and resource optimization, reducing AWS costs by 20%. โ€ข Developed ETL pipelines in SQL to power QuickSight dashboards, enabling data-driven operations across warehousing teams. โ€ข Collaborated with Research Scientists on temporal graph neural networks to model warehouse dependencies for improved order forecasting across 1,000+ facilities.

  • Podcast Host at ProfessionAI
    Mar 2022 - Jul 2022 ยท 5 mos

    โ€ข Produced and recorded 10 AI-focused podcast episodes, demonstrating expertise in audience research, guest coordination, and impactful question preparation. โ€ข Contributed to the sales of approximately 20 masterclasses, generating over 6,000โ‚ฌ in revenue for ProfessionAI.