StreetVendour

I have a foundation in wireless communications and digital signal processing, including sampling, quantization, FFT/IFFT, and basic C programming. I believe my understanding of sampling and quantization can help me understand MCU hardware constraints, such as limited memory, processing power, and ADC resolution. Although I have limited hands-on experience with MCUs, I am eager to learn and will do my best to develop practical embedded engineering skills.

Intern Signal Processing at Viettel (VMC) (2024-10 – 2024-12)

CVSD codec on Matlab Simulink: Processing Audio ( Sampling, quantization ), use logical blocks to build encoder ( Error calculator, PAM, Slope overload detector, syllabic filter ), decoder ( Accumulator ), calculate transfer function for encoder and decoder.

Lab member at HUST WicomLab (Wireless Communication Laboratory) (2023-08 – 2025-06)

MIMO OFDM Clarke’s Rayleigh fading Channel with LSE Etimation on Matlab

• Implemented MIMO-OFDM system with Least Squares (LS) channel estimation for Rayleigh fading channels.
• Designed orthogonal pilot subcarriers to separate channel responses from multiple transmit antennas.
• Utilized cyclic prefix and IFFT/FFT operations to convert the frequency-selective channel into flat fading per subcarrier.
• Reduced estimation complexity by employing a truncated DFT matrix.
• Employed zero-forcing equalization for data recovery, all results to small bit error rate performance.

Lab member at HUST CTARG (Communication Theory and Applications Research Group) (2025-06 – 2026-02)

Precoding Technique in VLC MISO downlink systems on Matlab - Miniconda Python

• optimization-based zero-forcing precoding framework for multi-user VLC systems that respects strict LED constraints.
• employs generalized inverses instead of the standard pseudo-inverse, leveraging null-space flexibility to satisfy non-negativity and peak limits.
• Optimization techniques ( using CVX - MOSEK ) include linear programming for max-min fairness and the convex-concave procedure with semidefinite relaxation for maximum sum-rate to eliminate multi-user interference while optimizing system performance under realistic hardware limitations.

Electronics and Telecommunication - K66 – Hanoi University of Science and Technology (2021 – 2026)