“The saddest aspect of life right now is that science gathers knowledge faster than society gathers wisdom.” I mentor people on Artificial Intelligence, Machine Learning. I receive many requests to link. I am happy to, but please be courteous to provide a note of why we should link. I am always happy to help you when I can.My interests are currently migration, health economics, Transformers and Information theory, uncertainty, causal inference, NLP and logic programming. I've completed projects related to trade risk, cybersec, text classification, and production tools for ML models. I was a trader-quant at several primary dealers in Fixed Income and Derivative products. I traded US Treasuries and high-yield foreign bonds and gilts. I was a member of the FIX Protocol Committee for Fixed Income and Derivatives. Series 7, 3. My thesis was on Evidential Reasoning using Bayesian Networks applied to computer vision. It was a trailblazing work. I have experience in 4 start-ups and at also at Fortune 100 companies.Known knowns: Full Python Machine Learning Stack Developer ( Pandas, scikit-learn, Matplotlib ,Seaborn, Numpy, Scipy, NLTK, Gensim, Statsmodels, Scrapy ) 10 years R programming, ggplot and various packages in time series and Parametric /Non Parametric stats. 10 years Fortran, TensorFlow, Neural Network development Keras PyTorch,• Data Product Management and Team management. • Text Analysis and Search, Natural Language Processing NLP , Stanford Parsers• Statistics: Bayesian Analysis, Categorical Regression Time Series• Financial Exchange Protocol FIX expertise • Data Base : Schema - Postgres, AWS Redshift, Neo4j• Data Store : no Schema ( HDFS, Hadoop, Mongodb, Spark 2 years)• Stochastic Processes, Numerical Analysis -Physics models• Data visualization.• Bio-related, BioConductor• AWS, Azure Cloud application.• SDLC. Agile participation. • Project Management PMC