Carlo Grisetti
Senior Manager, Microsoft ERP & AI Adoption at Engineering Group
Trezzano Rosa, Lombardy, Italy
Summary
🤩
Rockstar🎓
Top SchoolCarlo Grisetti is a senior technology leader with 18+ years of hands-on experience building and operating Microsoft-centric ERP, data and AI solutions across enterprise clients. Currently Senior Manager for Microsoft ERP & AI Adoption, he blends deep Dynamics 365 and Azure Fabric expertise with a proven track record leading cross-functional teams and driving large migrations and adoption programs. Earlier roles span managing data engineering teams at Avanade, founding and scaling an AI & Data Science team, and long-standing infrastructure and DBA leadership at Brembo and Engineering, giving him rare end-to-end visibility from hardware and SQL clusters to cloud-native ML. An active open-source contributor, he has improved popular ML and trading libraries (FinRL, tensortrade, Ludwig, Ray), often focusing on production readiness, logging, visualization and API clarity—work that underscores his emphasis on observability and pragmatic ML ops. Fluent in Italian enterprise environments and comfortable presenting to C-level stakeholders, he combines technical depth with program delivery and stakeholder management. Colleagues note his knack for turning complex integration challenges into clear, auditable delivery plans while still contributing code-level fixes.
7 years of coding experience
15 years of employment as a software developer
Laurea triennale, Ingegneria Informatica, (sospeso), Laurea triennale, Ingegneria Informatica, (sospeso) at Università degli Studi di BergamoPerito Industriale Capotecnico, Specializzazione Informatica, 80/100, Perito Industriale Capotecnico, Specializzazione Informatica, 80/100 at ITIS G.Marconi
Italian, English
Github Skills (37)
pytorch10
fastapi10
dashboard10
deploying10
python10
api-design10
matplotlib10
openai-gym10
machine-learning10
distributed-systems10
data-preprocessing10
deep-learning10
trainings10
tensorflow10
deep-reinforcement-learning10
Programming languages (7)
Github contributions (5)
tensortrade-org/tensortrade
Dec 2020 - Aug 2022
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 10 reviews, 106 commits in 1 year 8 months
Contributions summary:Carlo primarily focused on fixing display and rendering issues within the `tensortrade` framework, particularly for the Plotly and Matplotlib trading charts. These fixes involved modifying the `renderers.py` file to ensure correct visualization of trading data. The user also updated an example notebook and made improvements to action schemes, including order validation and commission calculations, demonstrating involvement in both UI elements and backend order processing logic.
deployingraybacktesting-trading-strategiesreinforcement-learningagents
ludwig-ai/ludwig
May 2019 - Oct 2022
Low-code framework for building custom LLMs, neural networks, and other AI models
Role in this project:ML Engineer
ML EngineerContributions:9 reviews, 42 commits, 34 PRs in 3 years 6 months
Contributions summary:Carlo contributed to the improvement and maintenance of the Ludwig framework, primarily focusing on model training and evaluation components. Their commits addressed various issues, including fixing typos in documentation, correcting parameter names in visualization tools, and modifying code related to model logging and tensorboard summaries. Furthermore, the user made changes to features related to image and text pre-processing and data type handling, indicating a focus on improving model performance and providing additional functionality.
fairness-mlpythonframework-learningdeep-learning-frameworknatural-language-processing
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