Tools: [ Postgresql, Hive, Redis, Spark, Python, C++, Tensorflow, LLM, Nextjs, Typescript ]• Led the design of data infrastructure for real-time analysis of over 1+ billion records across multiple databases. • Developed over 50 behavioral finance algorithms for trading analysis, enhancing data-driven strategies.• Applied machine learning, deep learning, and graph neural networks to identify traders' behavioral patterns.• Implement LLM model for user to interact with chatbot to understand their behavioral patterns.• Implemented post-quantum cryptography protocols (lattice-based and rainbow) for secure deployment. • Conducted frontend development for an intuitive and responsive user interface.

Tools: [ Postgresql, Hive, Impala, Spark, Python, Tensorflow ]• Engineered ETL processes for daily of 1+ billion logs and analyzed user patterns for targeted initiatives.• Executed and researched high frequency trading market-making strategy, monitoring prices across platforms.• Designed and optimized configurations for order book deployment and effective hedging.• Designed and integrated trading/hedging strategies, constructing APIs for seamless execution while utilizing diverse approaches, including quantum machine learning.

• SEC files parsing & NLP analysis. Parsing/Collecting over 100k SEC files and examining the documents with NLP-sentimental analysing via FinBert. • DealScan / Compustat data and Firm violations and covenant ETL. Extracting from datasets, such as dealscan and compustat for collecting the targeted companies business performance.