GiancarmineĀ Giglio
Senior Software Engineer at Magneti Marelli
Turin, Piedmont, Italy
Summary
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Top SchoolGiancarmine Giglio is a Senior Software Engineer based in Turin with over 6 years of recent experience and a long career in embedded systems and automotive electronics. He has led firmware and system projects for Magneti Marelli and others, building CAN/GPS/CELL-enabled telematic boxes and vehicle data acquisition platforms that send real-time telemetry to servers. Comfortable across microcontrollers (Renesas, ARM, Atmel 8051, MPC), realtime protocols (KWP2000, CAN, SPI) and Linux server management, he bridges low-level firmware with cloud-connected data flows. His interests have expanded into full-stack development, AI/ML, Linux, PWAs and IoT, reflecting a shift from pure embedded engineering toward connected software and platform work. Notably, he has experience coordinating end-to-end solutions from production-line diagnostics to telematics for mass-market vehicles, combining practical manufacturing insights with software leadership.
6 years of coding experience
25 years of employment as a software developer
Perito Elettronico, Perito Elettronico at Istituto Tecnico Industriale Ettore Majorana
Github Skills (21)
bitrate10
socket10
par10
nginx-configuration9
backend9
data-acquisition8
streaming8
steroids8
chat8
storm8
socket-io8
realtime7
webrtc7
scanner7
pixel7
Programming languages (4)
Github contributions (5)
gsalucci/streamplatform
Jul 2019 - Aug 2020
All-in-one RTMP/HLS streaming platform easily deploayble via docker/caprover Includes NGINX configuration for optimal adaptive bitrate HLS streaming, backend HTTP/Socket.io server to allow comunication from NGINX to the frontend, and realtime chat capabilities
Contributions:226 commits, 7 PRs, 24 pushes in 1 year 1 month
rtmpnginxrealtimecomunicationadaptive
gsalucci/HoTSPyBot
Nov 2019 - Jan 2021
[WiP] This is a pixel scanner (on steroids) bot for Heroes of The Storm, a MOBA by Blizzard This projects makes extensive use of the OpenCV2 library for python, it uses threads and processes to parallelize the screen analysis making data acquisition really fast and on par with human performace.
Contributions:8 commits, 14 pushes, 1 branch in 1 year 1 month
pythonbotblizzardthreadsopencv2
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