B

batch-processing

KeyKiller is designed to achieve extreme performance on modern NVIDIA GPUs, solving the Satoshi puzzle. It leverages CUDA, warp-level parallelism, and batched EC operations to push the boundaries of cryptographic key discovery. It is commonly used in research projects such as Secp256k1-CUDA,Brainflayer,BitCrack, Keyhunt CUDA BitCrack,RCKangaroo.

Unified project demonstrating both batch analytics and real-time streaming pipelines with Apache Spark:

Batch (PySpark/Jupyter): Processed S&P 500 stock data, applied transformations, and ran distributed computations.

Streaming (Spark + Kafka): Built a streaming pipeline to consume Kafka topics, process messages in real-time, and visualize outputs.

Deployed using Docker and Jupyter for reproducibility.