Computer Scientist with 10+ years of experience in software development and applied research. Senior Experience in full-stack and DevOps roles. Continuous Integration (CI) and Test Driven Development (TDD) approach. Experience in management of remote / home office teams. Extremely curious with problem-solving skills and modelling capabilities, interested in topics like: Artificial intelligence, Finance, ANNs, Trading, Risk modelling, Cryptography, Quantum programming languages, Blockchain, Hyperledgers, Multichain and Multi-Family Office portfolio optimization. Skills Programming Languages / Databases / Frameworks - C#, Python (NumPy, Pandas, Scikit-learn, keras, tensorflow, matplotlib), Java, SQL, OOP, Scala, MongoDB, Matlab, R, Javascript, NodeJS, Angular, React, Redis, Redux, Apache Hadoop and Spark, C++ 14 (C++ 17 full-time newbie), Go (Full time learning newbie), Solidity, Hyperledger, DAO, Unity and Unreal for VR development and raytracing modelling, Containers - Kubernetes, Docker, Docker swarm, Kubernetes + istio Cloud platforms - Azure, AWS, terraform, OpenStack Analytical - Deep Learning (Deep neural nets, Convolutional NN, LSTM) - Machine learning (SVM, PCA, Random forest, Cluster Analysis) - Forecasting/Predictive analytics - Statistical analysis - Time series analysis Financial - Algorithmic trading (Med/Low-frequency strategy) - Statistical arbitrage for cryptos - Technical analysis - Risk analysis (VAR, CVAR) - Financial time series (ARMA, GARCH, ARIMA) - Cryptos, smart assets, FX, ETFs, Futures, commodities. Github: ©