Albert C.
Research Engineer @ NVIDIA
About
Only looking for research and engineering opportunities exclusively for top-tier frontier AI labs / frontier AI divisions within Big Tech companies / top-tier High Frequency Trading, Proprietary Trading and Hedge FundsI specialize in optimizing and accelerating machine learning systems, focusing on LLMs, GenAI, large-scale deep learning models, and research on high-frequency trading optimization. My expertise includes inference optimization and efficient training paradigms, and multimodal learning (CV/NLP).With a strong background in C++, Python, PyTorch/TensorFlow, and CUDA/OpenCL, I also have experience in quantitative trading, including developing low-latency, high-performance trading systems and applying reinforcement learning to quantitative modeling. My work includes high-frequency trading strategy optimization, leveraging parallel computing and advanced numerical methods to enhance execution efficiency.I am passionate about maximizing efficiency and optimizing anything:)
United States
San Francisco Bay Area
Consumer Electronics
NumPy, Pandas (软件), 机器人操作系统 (ROS), Python (Programming Language), OpenCL, Jax, Graphics Processing Unit, Machine Learning, Core ML, Data Engineering, Feature Engineering, TensorFlow, Reinforcement Learning, High-Frequency Trading, Quantitative Research, Quantitative Finance, 机器学习, CUDA, PyTorch, C++
Experience

Research Engineer
San Francisco Bay Area
Designed and optimized next-generation LLM large-scale distributed training and inference frameworks across heterogeneous hardware clusters (GPU/TPU). Optimized advanced RL post-training optimization techniques to enhance reasoning capabilities and alignment efficiency. Engineered high-performance kernels and LLM system architectures to accelerate large-scale model deployment.
Albert C.'s Contact Information
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