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Muhammad Talha Y.

Avionics Engineer Professional with experience in FPGA Design | RF/Antenna Modeling (CST) | CATIA 3D

Lahore, Pakistan

Global rank:

9,913 / 135,452

Skill pts: 5

2D & 3D CAD Design CAD Design CATIA CATIA Design Services Microcontrollers

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About

I’m an Avionics & Embedded Systems Engineer with hands-on expertise in FPGA development (Xilinx, Verilog/SystemVerilog), RF & antenna simulation (CST, HFSS), and 3D CAD modeling (CATIA V5). I help clients bring cutting-edge hardware ideas to life—whether it's building a real-time object detection system on FPGA or simulating a microwave filter with CST.

🔧 Core Services I Offer:
• FPGA Design: Xilinx, Vivado, Verilog, SystemVerilog
• Antenna & RF Modeling: CST, HFSS, ADS, VNA
• CATIA Mechanical Design: Aerospace, Avionics & Custom 3D Models
• Embedded Systems: Arduino, Microcontrollers, Signal Processing
• Simulation & Modeling: MATLAB, Simulink, Model-Based Design (DO-331)

🏆 Highlights from Past Work:
• YOLOv3-based object detection on FPGA (PYNQ-Z2 with Petalinux)
• RF dipole antenna design at 800MHz (CST)
• NRZ to Manchester waveform processor (DO-331 compliant)
• Engine Monitoring System (EMAS) in Simulink
• Dual-motor control system for UAV guidance (Arduino + MPU)

🧰 Tools & Platforms:
Vivado, Verilog, CST, HFSS, CATIA, MATLAB, Simulink, ADS, Python, Arduino, KiCAD, ModelSim, Proteus, C++

Experience

Avionics Engineer Heavy Industries Taxila · Internship Jul 2023 – Aug 2023 1 mos Taxila, Punjab, Pakistan • Gained firsthand experience with the Cross Wind (MET) Sensor for “MBT Al Khalid – I” and designed its simulation using Proteus and Arduino.
• Enhanced proficiency in embedded programming, analytical skills, and problem-solving.
• Developed strong presentation, report writing, communication, teamwork, and management skills.

Education

Institue of Space Technology BS, Avionics Engineering, 2.83/4 2020 – 2024 Activities and Societies: Robotics Society, Literature Club, IEEE, ICASE 2021, ORIC, Basketball Bachelor of Science in Avionics Engineering
Majors:
• Embedded Systems – FPGA Design, Digital Systems & Microprocessors
• RF & Microwave – EMC/EMI, Antenna Design, Microwave Engineering, Radar Systems
• Avionics System Design – Analog & Digital Communications
• Control Systems – Guidance & Navigation of Aero Vehicles, Flight Controls & Dynamics
• Electronics – Circuit Analysis & Design, Electronic Circuits & Devices
Minors: Computer Programming, Calculus, Differential Equations, Complex Variables & Transforms, Engineering
Management, Human Factor in Engineering, Professional Practices, Communication Skills, and Technical Writing.

Other experience

ENGINE MONITORING AND ALERTING SYSTEM (EMAS) FOR AVIONICS SYSTEMS Designed and implemented the RTCA DO-331 Model Based Design Approach, including Function Hazard Analysis, Requirement Traceability, Model Verification as per RTCA DO-331 and RTCA DO-178, Automatic Code Generation, and Hardware Implementation Verification
HALF WAVELENGTH DIPOLE ANTENNA DESIGN AT 800MHZ FREQUENCY Designed and implemented a dipole antenna optimized for 800MHz frequency, achieving targeted performance metrics, and demonstrating proficiency in RF design principles
DUAL-MOTOR ARM CONTROL FOR AEROVEHICLE GUIDANCE AND NAVIGATION Developed a dual-motor arm control system using Arduino and MPU sensors, simulating copter angle control for applications in aero-vehicle guidance and navigation
DEVELOPMENT OF NRZ TO MANCHESTER CODED WAVEFORM PROCESSOR Designed and implemented a hardware processor to convert NRZ waveforms to Manchester coded waveforms, ensuring compliance with RTCA DO-331 standards and verified functionality through simulation and microcontroller integration
OBJECT RECOGNITION AND CLASSIFICATION USING FPGA PLATFORM • Successfully developed a Deep Learning Processing Unit (DPU) overlay on the PYNQ – Z2 board using Vivado, PetaLinux, and DNNDK for “Real – Time” Object Recognition and Classification.
• Demonstrated advanced FPGA design and embedded systems skills by integrating Programmable Logic (PL) and Processing System (PS) on Zynq SoC, including custom kernel driver development.
• Engineered a system leveraging a USB webcam for video input, performing optimized object detection with the quantized YOLOv3 Model on the FPGA.