Resume Eng. in Qatar Doha

Eng.
Engineer - Technologist
1500 $
Qatar (Doha)
5 hours ago
Contact person: Zaid Abu Rumman
Age: 23
Phone number: show
Experience:
05/2025 – 07/2025 Inspection Engineer Intern at MechaTronics W.L.L — Lusail Completed practical training at a KAHRAMAA/QCD-approved MEP & building-automation subcontractor, adhering to HSE induction and permit-to-work protocols and participating in site walkthroughs. Reviewed electrical and ELV (Extra-Low Voltage) layouts of electronic circuits and supported inspections for first/second fix works (power, fire alarm/emergency systems, CCTV/access control), logging discrepancies and assisting with insulation/continuity testing and handover documentation. Contributed to basic indoor lighting design tasks, including layout and fixture placement, applying power electronics principles under supervision. Captured and analyzed electrical waveforms utilizing oscilloscopes and probes to facilitate debugging and verify circuit performance during continuity testing. 06/2026 – 07/2026 Electrical and PCB Designer Intern at MindBridgeXR/QSTP Spearheaded the design, review, remodeling, and enhancement of existing PCBs (Printed Circuit Boards) and electrical components powering smart equipment. Partnered with marketing and software development teams to ensure electronic capabilities aligned with user needs and software data streaming requirements. Collaborated directly with the Finance team to prepare an accurate and cost-effective Bill of Materials (BOM) for the upgraded electrical components.
Education:
Qatar University Achieved a GPA of 3.45 out of 4.00 in Bachelor of Science, Electrical Engineering.
Skills:
C/C++ MATLAB LTSpice Multisim Autodesk Fusion 360 (PCB Design and 3D modeling) GNU Radio Electronic Circuits Controls Systems Sensors Waveform Measurement Linux Overleaf/LaTeX Python MATLAB & Simulink TINA Scilab LabView Embedded Systems Power Electronics Communication Engineering Oscilloscope Usage Multimeters MS Office
Language skills:
Arabic English
Additionally:
Projects: Autonomous Underwater Vehicle: Payload Controller & Acoustic Localization - Multidisiplinary Team Project Implemented ESP32 actuator firmware (up to 4 servos) with EMA smoothing, hysteresis, and one-shot OPEN/CLOSE state machine, and debugged PWM signals using an oscilloscope. Bench-validated payload actuation through 50 consecutive underwater open/close cycles (0 failures), 30 s hold (no slip), and 1.5 s timing; measured peak and idle currents using lab instruments and documented results. Designed and simulated an acoustic localization approach using fixed pinger locations and bearing sweeps; validated hydrophone directional response and waypoints bearing extraction through Gazebo simulation. Magnetic levitation: Closed-loop control (Arduino Uno, C/C++) - Solo Project Modeled/linearized the plant and tuned PID controller (K_p=45,K_i=10,K_d=2.5); achieved 2 cm levitation setpoint. Design constraints include contraption height < 30 cm, voltage of 12 V, current < 4 A, total cost < $50. Embedded Environmental Monitoring & Control (LPC1768, C/C++) - Team Project Integrated DHT22, BMP180, PIR, and LDR sensors; displayed readings and alerts on a 16×2 LCD, using an oscilloscope and probes to verify signal integrity and debug sensor interfaces Built setting and operation modes with button-driven thresholds; added ADC-based fan-voltage monitoring (auto shutoff) and occupancy-based energy saving, capturing voltage waveforms via oscilloscope to validate ADC accuracy Image Classification: Fashion-MNIST Clothing (MATLAB) - Solo Project Developed and evaluated multiple machine learning and deep learning methods on the Fashion-MNIST dataset. Conducted model selection using a 50k image training set, 10k image validation set, and 10k image test set. Reduced feature dimensionality, using PCA, from 784 pixels to 459 and 188 principal components, preserving 99% and 95% of dataset variance, respectively. Performed hyperparameter tuning on validation set, including K-selection and learning-rate optimization and convolutional layers selection to optimized validation set accuracy. Best validation accuracies were used on the test set with accuracies of KNN_best=86.1%,MCLR_best=84.51%, CNN_best=90.37%. Digital audio filtering: FIR filtering pipeline on ESP32 (MATLAB and C/C++) - Team Project Designed FIR high-pass + low-pass filters in MATLAB; exported coefficients to C headers and validated performance via spectrogram/waterfall analysis. Implemented an ESP32 SD-card filtering pipeline (SPI): processed 44.1 kHz audio in 512-sample blocks, applied HPF→LPF (80-tap each), and generated filtered CSV + 16-bit PCM WAV output. Satellite Communications Ground Station (Raspberry Pi 5, SATNOGS Debian Linux) Team Project Designed and implemented an SDR-based satellite ground station (Raspberry Pi 5, RTL-SDR, GNU Radio, Docker) for 401.540 MHz UHF telemetry reception. Implemented a receive chain operating at 2.048 MS/s and decoded 4,800 baud GMSK/AX.25 transmissions into recoverable telemetry frames. Successfully received and processed satellite, contributing verified observations to the global SatNOGS network. Cross-validated decoded packets against 272 community-captured frames from 17 stations, matching 257 identical AX.25 headers and confirming protocol-level accuracy. Diagnosed and resolved power, networking, USB-permission, and SDR integration issues, enabling reliable end-to-end operation from RF reception through protocol-layer decoding.
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