Emilio Monti
Senior Applied Scientist (AWS Prototyping) at Amazon
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEmilio Monti is a Senior Applied Scientist with 18 years of experience building production ML systems and embedded platforms, currently prototyping at AWS. He has worked on generative AI since 2016, originating the first seq2seq semantic parser for Amazon Alexa and later contributing to Amazon’s AGI efforts around knowledge grounding and personalization. Previously he led ARM’s mbed OS embedded software team and remains an active contributor to the well-known ARMmbed IoT platform, with hands-on experience across HALs, drivers and high-performance C++ systems. Trained as a physicist, he combines research rigor with product-focused engineering, holding publications and patents tied to real-world deployments. Colleagues describe him as a bridge between deep research and pragmatic productionization, comfortable shipping prototypes into large-scale voice and IoT ecosystems. Outside core ML work he still brings low-level embedded expertise that often informs system design choices in cloud-scale applications.
17 years of coding experience
7 years of employment as a software developer
Master of Science in Physics, Physics, Master of Science in Physics, Physics at Alma Mater Studiorum – Università di BolognaIntroduction to Artificial IntelligenceLiceo Scientifico
Italian, English
Stackoverflow
783reputation
258kreached
5answers
0questions
nltk
top-5%
grammar
top-5%
nlp
top-5%
Github Skills (29)
c-language10
c1710
iot10
sys10
lpc10
embedded10
cprogramming-language10
iot-devkit10
architecture9
spi9
bluetooth-le9
nltk9
btle9
i2c9
grammar9
Programming languages (5)
Github contributions (5)
ARMmbed/mbed-os
Feb 2013 - Mar 2014
Arm Mbed OS is a platform operating system designed for the internet of things
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:232 commits in 1 year 1 month
Contributions summary:Emilio's commits primarily involve the implementation and modification of embedded system libraries and drivers within the context of an IoT platform. Their contributions span a range of hardware interfaces and peripheral drivers. This includes the addition of device-specific hardware abstraction layers (HALs), such as for the KL25Z and LPC812 microcontrollers, and the implementation of core services and APIs.
kernelmbed-osoperating-systemlinuxmbed
emilmont/pyStatParser
Jul 2013 - Sep 2017
Contributions:19 commits, 2 PRs, 2 pushes in 4 years 2 months
statisticspythonstatisticalparser
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