Production-Ready Embedded Systems for Edge Devices
Muhammad Shafqat Ashraf
Embedded, DSP & Firmware Systems Engineer
Engineering high-performance, production-ready firmware on ARM Cortex-M platforms — with a growing specialization in Digital Signal Processing (DSP), communication systems, and deterministic TinyML. Bridging embedded systems and real-time data processing, from rapid prototyping to industrial-grade edge intelligence.
Value & Philosophy
Moving beyond basic coding to architect high-reliability, intelligence-driven hardware ecosystems.
Zero-Failure Reliability
Specializing in fault-tolerant firmware architectures that ensure uptime in mission-critical industrial, medical, and consumer environments.
High-Performance Optimization
Expertise in squeezing every milliwatt of power and every byte of memory for maximum efficiency on resource-constrained microcontrollers.
Scalable Architecture
Designing modular codebases that grow with your product, from the first prototype to mass-market production and long-term maintenance.
Professional Service Offerings
High-performance engineering solutions tailored for developers, startups, and industrial clients.
Embedded Firmware Dev
Specialized firmware for microcontrollers (ARM, nRF, ESP) focused on real-time reliability and memory efficiency.
IoT & Cloud Ecosystems
End-to-end device connectivity and cloud integration using MQTT, NB-IoT, and AWS IoT Core.
Edge AI / ML Integration
Deploying TinyML models for on-device diagnostics, anomaly detection, and real-time signal analytics.
System Debugging & HW Bring-up
Logic-level hardware-software integration, circuit troubleshooting, and initial prototype validation.
Product Prototyping (MVP)
Rapidly taking hardware concepts from schematic to fully functional intelligent prototypes.
Optimization & Deployment
System-wide power optimization, stress-testing, and automated deployment support.
Hardware & Software Arsenal
Tap any domain for a full engineering specification.
Firmware Engineering
Low-level driver development (UART, SPI, I2C), memory optimization, and bootloader design for ARM Cortex-M and nRF series.
RTOS & Multitasking
Specializing in Zephyr RTOS and FreeRTOS for multi-threaded applications, ensures high reliability and real-time performance.
Industrial IoT
End-to-end IoT solutions using NB-IoT, LoRaWAN, and BLE. Secure cloud integration and OTA firmware updates.
AI & ML Integration
Developing data-driven models for predictive maintenance and health diagnostics using Python-based ML frameworks and time-series analysis.
DSP & Communication
Digital Signal Processing fundamentals, FFT spectral analysis, digital filtering, and PSK/FSK modulation — with a focus on SDR and SATCOM signal processing.
Strategic Engineering Workflow
My systematic approach to transforming complex requirements into deterministic solutions.
System Analysis
Deep-dive into hardware constraints, power budgets, and mission-critical requirements to define the system's operational envelope.
Architecture Design
Designing robust, low-latency firmware blueprints and RTOS task structures using deterministic engineering principles.
Precision Development
Writing highly-optimized C++/Python code with a focus on memory safety, DMA efficiency, and real-time execution.
Validation & Optimization
Exhaustive system stress-testing and power profile optimization to ensure industrial-grade uptime.
Delivery & Support
Providing comprehensive technical documentation, deployment support, and long-term maintenance.
Mastered Ecosystem
My toolkit for architecting end-to-end intelligent systems.
Hardware
Firmware & RTOS
AI & Edge
Protocols
DSP & Signal
Strategic Industries
Specialized solutions for mission-critical sectors where precision and reliability are paramount.
Health & Medical
Intelligent wearables and diagnostic devices for real-time patient monitoring.
Industrial Automation
Predictive maintenance and remote telemetry for smart manufacturing lines.
Consumer IoT
Smart home connectivity and low-power business automation products.
R&D / Prototyping
Accelerated development for hardware startups and research laboratories.
Professional Background
I am an Electrical Engineer operating at the specialized intersection of embedded systems, high-performance firmware, and Digital Signal Processing. With hands-on experience across ARM Cortex-M platforms, real-time firmware development, and embedded communication protocols, I bridge the gap between embedded systems and real-time data processing.
My approach goes beyond standard coding—I provide strategic technical leadership across hardware selection, real-time multitasking, and Edge AI deployment, with a growing focus on DSP algorithm development, communication systems, and a strong interest in SDR and SATCOM platforms.
Accelerated Time-to-Market
Implementing modular, reusable HAL and RTOS abstractions to shorten development cycles and ensure rapid product iteration.
Mission-Critical Reliability
Designing fault-tolerant watchdog systems and deterministic scheduling to eliminate downtime in industrial environments.
Business-Centric Edge AI
Optimizing existing hardware with quantized TinyML models, adding intelligent features without the need for expensive hardware upgrades.
3+
Years Strategic Exp.
50%
Cost Optimization Focus
Zero
Failure Tolerance
Work Experience
Embedded Firmware Engineer
Techanzy Limited - Lahore, Pakistan
- Developed real-time embedded firmware in C/C++ for ARM Cortex-M platforms (nRF52 DK, nRF9160).
- Designed and implemented Zephyr RTOS-based applications including task scheduling, interrupt handling, and inter-task communication.
- Developed low-level peripheral drivers (UART, SPI, I2C, GPIO, ADC).
- Implemented secure UART-based authentication protocol between ESP32 and nRF platform to ensure data privacy and device validation.
- Integrated BLE and NB-IoT communication stacks for IoT connectivity.
- Performed board bring-up, firmware debugging, and hardware validation using J-Link debugger and lab instrumentation.
- Optimized firmware for power efficiency in IoT applications.
- Maintained version control using Git.
AI Systems Deployment Engineer (Embedded + Edge AI)
Techanzy Limited
- Deployed AI voice agents using ElevenLabs API integrated with Raspberry Pi 4.
- Designed physical AI interaction system combining embedded hardware with cloud-based voice AI.
- Implemented secure communication between edge device and AI processing module.
- Managed full system deployment including configuration, testing, and client demonstration.
- Ensured stable real-time voice response performance.
Process Engineer
Xiaomi Mi Technology - Lahore, Pakistan
- Supported embedded hardware testing, PCB validation, and electronic system troubleshooting.
- Assisted in firmware bring-up activities and peripheral-level validation.
- Prepared technical documentation, feasibility notes, and system improvement reports.
- Coordinated with cross-functional teams for smooth technical operations.
Electrical Engineer (Manufacturing Excellence)
Challenge Apparels Limited - Lahore, Pakistan
- Coordinated cross-functional engineering teams to optimize manufacturing processes, technical workflows, and system efficiency.
- Performed system-level analysis and troubleshooting to identify bottlenecks and support continuous process optimization.
- Developed and maintained technical, process, and compliance documentation aligned with operational and quality standards.
Core Skill Matrix
Programming
- C / C++ / Embedded C
- Assembly (ARM)
- Python / ML
- MATLAB
Embedded Platforms
- ARM Cortex-M (nRF52 DK, nRF9160)
- ESP32 / ESP8266
- Raspberry Pi 4
- Arduino / AVR
DSP & Communication
- Signal Processing Fundamentals
- FFT & Digital Filtering
- Modulation (PSK / FSK)
- Data Acquisition / SDR (Conceptual)
Protocols & Connectivity
- UART / SPI / I2C
- BLE 5.x / NB-IoT / LoRa
- MQTT / AWS IoT
- Secure Authentication Protocols
RTOS & Firmware
- Zephyr RTOS
- Interrupt Service Routines (ISR)
- Inter-task Communication
- Memory & Power Optimization
Dev Tools
- Segger Embedded Studio
- J-Link Debugger
- Oscilloscope / Logic Analyzer
- MATLAB / LabVIEW
- Git / VS Code / Altium Designer
Featured Case Study
Smart Foot Weight Analytics
System Workflow:
• Data Acquisition: High-density Piezoresistive sensor array captures
dynamic load.
• Analytics: Real-time extraction of CoP (Center of Pressure)
trajectories and load symmetry indices.
• ML Diagnosis: Neural network classification identifies
musculoskeletal abnormalities and early-stage neuropathy indicators.
• Output: Clinical-grade gait reports visualized via a secure Bluetooth
dashboard.
Engineering Projects
Smart IoT Monitoring System
Low-power industrial telemetry via NB-IoT & Zephyr RTOS.
Read the write-up
Embedded DSP Engine
Real-time vibration analysis and spectral filtering on STM32.
Cloud-Edge Manufacturing
Scalable industrial telemetry with edge-based anomaly detection.
Smart Foot Analytics
Diagnostic AI for gait analysis and musculoskeletal health.
The AEyes Assistive AI
Deploying conversational AI agents into physical hardware nodes.
Ready to Architect Your Next Solution?
I specialize in solving hard engineering problems. Whether you need a low-power firmware stack or an intelligent edge-AI node, I can help you build it.
Start Technical InquiryEducation
Bachelor of Electrical Engineering
University of Engineering and Technology Lahore
2020 - 2024Intermediate (Pre-Engineering)
Punjab Daanish Boys School DG Khan
2018 - 2019Technical Certifications
- AI for Everyone (DeepLearning.AI)
- Embedded Systems Development (Zephyr/Nordic)
- Advanced PCB Design (Altium Academy)
- Industrial IoT Security Protocols
Language Proficiency
English
Professional Working ProficiencyUrdu
Native ProficiencyChinese
Beginner LevelSoft Skills
Technical Project Inquiry
Have a complex engineering challenge? Let's discuss your system requirements and build a high-performance solution together.
Direct Communication
I am currently available for new projects and long-term engineering contracts. Expect a response within 24 hours.
Technical Consultancy
Ready to help you architect your next intelligent device from scratch or optimize existing firmware.
Architecture Review: Deep dive into your system design and firmware structure.
Hardware Bring-up: Initial verification and firmware integration for new PCBs.
AI Migration: Porting standard algorithms to memory-optimized TinyML models.