Compression Expert

Compression Expert Remote Contract Years Of Experience: 7+ • Subject Matter Expertise to include, but not limited to current lossless compression algorithms (Huffman, etc), how compression is implemented and optimized across the data supply chain in multiple high-volume settings (Cloud, data center, etc), data/cybersecurity, and Information Theory with a deep knowledge of entropy and the theoretical limits of compression (Shannon’s Source Coding Theorem) • Expert in developing and optimizing lossless algorithms • Mastery of C or C++ for memory management and performance-critical implementations including delta compression data management techniques • Expertise in Transform Coding, quantization, and psychovisual/psychoacoustic modeling for media-specific compression • Strong foundations in Statistics, probability distributions, and Linear Algebra for modeling complex data • Proficient in AI-Based Compression in high-volume environments using Neural Networks (e.g., Autoregressive Models) to model data patterns for higher compression ratios • Understanding SIMD (Single Instruction, Multiple Data) and GPU acceleration to parallelize encoding and decoding tasks • Performance Benchmarking: Ability to analyze trade-offs between compression ratio, memory usage, and latency • Critical thinking to identify redundancies in specialized data types and question theoretical standards • Understanding of advanced techniques like Bits-Back ANS that allow for lossless compression using latent variable models • Experience designing system integrations dictating how neural compression components fit into existing big data pipelines and cloud environments like AWS or Google