Jax, Kafka, Performance Engineering, Memory Management, Pytorch, Distributed Systems, data structures, Python, Apis, concurrency, Cuda, Linux, Spark, Kubernetes, market-data normalization, pre-trade risk, FPGA-adjacent systems, Ray, GPU clusters, execution systems, performance profiling, lock-free programming, Order Management, low-latency systems, network tuning, production debugging

alpha generation , Jax, Pytorch, Execution, pre-training large foundation models, self-supervised objectives, evaluation protocols, distributed training, market making, large-scale market datasets, risk-management, time-series foundation models, model architectures, tokenization schemes, data representations, Pricing