Having played a pivotal role in the creation and growth of leading startups and global enterprises, I've been instrumental in bringing some of the most groundbreaking products and research to the forefront. Our collaborations have empowered companies to launch autonomous vehicles on roads, introduce cutting-edge AI chips to international markets, and pioneer drug discoveries using Machine Learning, among other achievements.As a Co-founder of Acceler8 Talent, I take immense pride in our commitment to shaping the future of tech and Industry 4.0. By crafting outstanding Engineering and Research teams, we ensure that the visionaries we partner with transform their ambitions into tangible realities.Areas of the industry we've impacted: Machine Learning & Artificial Intelligence, Autonomous Vehicles, Semiconductors, Hardware Acceleration, Cryptography, ZKPs, Silicon Photonics, AI Acceleration, Biotech & Drug Discovery, Quantum Computing, Blockchain, and Robotics. From entry-level to C-level, the key roles my team recruits for: Hardware:Machine Learning Architects, Computer Architects, SoC Architects, HW/SW Co-Design, RTL Engineers, ASIC Front End Digital Design Engineers, CPU Microarchitect, FPGA Engineers, Physical Design Engineers, Design Verification Engineers, Analog/Mixed Signal Engineers, Layout Engineers, Photonic Design Engineers, Photonic Test Engineers. ML/SW C++ Engineers, C++ Performance Engineers, Compiler Engineers, Machine Learning Compiler Engineers, HPC Engineers, ML Engineers, System Engineers, ML Deployment Engineers, Computer Vision Engineers, Python Engineers, Backend/Fullstack Engineers, Kernel Engineers, Embedded/Firmware Engineers, Algo Engineers, ML Infrastructure Engineers, Full-Stack Engineers, ML Scientist, ML Researcher, Data Scientist, ML Research Scientist, Applied Cryptography Engineers.Keywords: C++, Python, Mojo, TensorFlow, Keras, PyTorch, ONNX, GLOW, XLA, MLIR, LLVM, HPC, Deep Learning, Machine Learning, DNNs, CNNs, PhD, Post-Doc or MSc (Bayesian Inference, Probabilistic Modelling, Gaussian Process, Statistics, Times Series Forecasting, Deep Learning, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Computer Vision, Deep Neural Networks, Generative Adversarial Networks, Convolutional Neural Network, Linear Regression, Natural Language Processing, papers in top conferences (NeurIPS, ICML, ECML, CVPR, ECCV, ICCV, AAAI, EMNLP)Whether you are looking to expand your tech team or are seeking a new position within my given field, please don’t hesitate to get in touch.