Talha Bozkus

About Talha Bozkus

I\'m 5th-year PhD candidate in AI/ML & Electrical Engineering working with Prof. Urbashi Mitra. I have strong background in Machine Learning, Deep Learning, Reinforcement Learning, Wireless Communications, DSP, Software Development (Python/PyTorch, MATLAB, C/C++)./: Machine Learning (Supervised, Unsupervised, Semi-supervised), Machine Learning for Wireless Communications, Deep Learning (DNN, CNN, RNN/LSTM/Transformers, Residual Networks, Graph NN, Graph CNN), Reinforcement Learning, Bayesian Statistics, Data Science, Data Engineering (data collection, filtering, analysis, processing, visualization): Linear Algebra, Probability and Statistics, Stochastic Processes, Detection and Estimation Theory, Information Theory, Optimization Theory: 802.11x/Wi-Fi, 4G LTE, 5G NR, TDD/FDD, beamforming, MIMO/MU-MIMO, TCP/IP, PHY/MAC, forward error correction & detection, channel estimation/equalization, modulation/detection, cellular systems, RF: Transform theory (Fourier, Laplace, Z-transform), IIR/FIR filter design, sampling and reconstruction, spectral analysis, multi-rate signal processing, fixed-point/floating-point design, spectrum analyzers, signal generators, oscilloscope. & : PyTorch/TensorFlow, CUDA, Scikit-learn, SciPy, SQL, PySpark, Git/GitHub, AWS/Azure Cloud, CI/CD.

Experience

1. Wireless Software Performance Engineer

   Apple

   Sep 2025 — Present · San Diego, CA, US