Giovanni Carmantini
Verified Expert in Engineering
Data Scientist and Sensor Data Developer
Giovanni is an entrepreneur and data scientist specializing in IoT and sensor data. He was deep in AI research before the 2012 Deep Learning revolution. With a Ph.D. in computational neuroscience and a Master's in robotics, Giovanni brings cutting edge technical expertise to projects. He was instrumental in developing an end-to-end AI+IoT platform for the monitoring of natural ecosystems and has been building AI systems for start-ups and established companies in the consumer electronics space.
Portfolio
Experience
Availability
Preferred Environment
CLion, PyCharm, Linux
The most amazing...
...end-to-end AI+IoT platform I helped create was for the monitoring of natural ecosystems with the start-up I co-founded.
Work Experience
Data Scientist, Co-founder, and CTO
foldAI
- Developed a patent-pending technology for the monitoring of ecosystems via Edge Computing.
- Applied machine learning and AI techniques to multivariate sensor data, able to run on embedded devices.
- Owned digital marketing and communication topics, from strategy to content creation.
- Owned market research topics, with the design, carrying out analysis of customer interviews.
- Developed the full data stack: from data ingestion, to database setup, machine learning processing jobs, up to customized web app setup and development for the visualization of data.
Data Scientist
Bragi
- Developed and deployed an in-house machine learning pipeline system adapted to the needs of the wearable technology at the core of the company.
- Developed and deployed machine learning models able to run locally on embedded devices and powering intelligent behavior in Bragi's wearable products.
- Created and demonstrated numerous proof-of-concept technologies for investor showcases, which had a role in attracting substantial funding for the start-up.
Experience
AI/IoT Monitoring Platform for Forests and Other Ecosystems (Aja)
My co-founders and I created a patent-pending hardware/software IoT platform for the quantification and accounting of bio-environmental parameters, including forest health, local climate, growth, and biodiversity. Our approach embraces the complexity of ecosystems to enable a realistic evaluation of the services they provide.
As a technical co-founder in an early stage deep-tech start-up, I am involved in all layers of software development for the platform, from the embedded side (development on the IoT devices) to the back and front end.
Skillset
Languages
Python 3, Python, C, C++
Libraries/APIs
Scikit-learn, Pandas, OpenCV
Paradigms
Data Science
Other
Scientific Data Analysis, Sensor Data, Machine Learning, Data Analytics, Cognitive Psychology, Communication, Neural Networks, Internet of Things (IoT), Edge Computing, eCommerce, Computer Vision, Theory of Computation (TOC), Dynamic Systems, Robot Operating System (ROS), Dash, Lean Startups
Frameworks
Flask
Tools
PyCharm, CLion, MQTT
Platforms
Linux, Docker
Storage
InfluxDB
Education
Ph.D. in Computational Neuroscience
Plymouth University - Plymouth, UK
Master's Degree in Robotics
Plymouth University - Plymouth, UK
Bachelor's Degree in Psychology
University of Bologna - Cesena, Italy
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