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maliksufian20

Muhammad Sufian

@maliksufian20
5,0(8)

Level 1

Building Custom IoT Hardware and Edge AI Solutions

Pakistan
Urdu, Englisch, Deutsch, Chinesisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I’m an Embedded Systems & IoT Expert from Pakistan. I have a master’s in systems engineering and 3+ years of experience in the smart device automation industry. I’m excited about building custom firmware using STM32, ESP32, and Raspberry Pi, and deploying Machine Learning models on the edge. My favorite part of the job is creating seamless integrations with cloud and ensuring reliable communication. I’d be more than happy to be a part of your next project! Feel free to send me a message to discuss your requirements. ... Mehr lesen

Kompetenzen

m
maliksufian20
Muhammad Sufian
30 $/Stunde
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Eingebettete Systeme & Internet der Dinge
I will do embedded systems, pcb design, and iot firmware for esp32 arduino
5,0(6)
Ab30 $ / ProjektWeitere Details
Eingebettete Systeme & Internet der Dinge
I will develop esp32, stm32 and arduino firmware for your iot and embedded systems
5,0(2)
Ab80 $ / ProjektWeitere Details

Möchtest du auf Stundenbasis arbeiten?

Erzähle Muhammad Sufian, was du brauchst.

30 $

/

Stunde

Portfolio

Arbeitserfahrung

Embedded ML Engineer

SovIoTech

Oct 2024 - Present • 1 yr 7 mos

As an Embedded ML Engineer at Soviotech for over a year, I specialize in bridging the gap between resource-constrained hardware and intelligent software. My focus lies in architecting high-performance firmware and integrating AI capabilities into edge devices, utilizing platforms ranging from the STM32U5 series to the ESP32-S3 and Raspberry Pi. My core technical achievements include: Edge AI & Wearables: Leading firmware development for AI-integrated smart glasses, utilizing the LiveKit SDK on ESP32-S3 for real-time audio processing and low-latency inference. Hardware Acceleration: Spearheading the migration of legacy display drivers from QSPI to hardware-accelerated OCTOSPI interfaces on STM32 architectures, significantly optimizing throughput and rendering performance. Control Systems: Designing robust flight control algorithms and PID tuning for UAVs, ensuring stability and fault tolerance in dynamic environments. Embedded Linux: Engineering custom Debian-based firmware installers and multimedia drivers for Raspberry Pi integrated systems. I am passionate about pushing the limits of TinyML and building secure, efficient embedded ecosystems that solve real-world problems.

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