Technical Director
CurrentDomains: Data Science, Machine Learning, MLops, BigData, Architecture, Cloud, Financial Market, Bioinformatic, Genome, etc.Tools: Python, DJango, Git, NumPy, Pandas, Seaborn, StasModels, PatSy, SciPy, SymPy, SeaBorn, TensorFlow, PyTorch, SkLearn, Conformal Prediction, LSTM, Neural Prophet, XGBoost, NLP, ChatGPT, LangChain, Waterfall, AgileTasks:• Technical management of quantitative models for the largest public bank in Brazil.• Bigdata architecture management for the Brazil Genome Project bioinformatics project, to support 100K genomes through a management platform, a specialized genomic and clinic platform, and a 20 Petabyte persistence environment, using public and on-premise clouds, for the largest public medical-scientific research institution in Brazil.• Domain management of: Artificial Intelligence (Machine Learning); Logistic; Retail; etc.• Model management: Machine Learning pipeline; MLops; prediction; sentiment detection; optimization.• Market standard: Agile; Waterfall.• Resource management: team hiring/building; encourage collaboration/camaraderie; engagement growth; team motivation; assign role/accountability.• Startup management: research, development and innovation; MVP; cash flow; vesting contract; business plan; canvas.• Prediction models: stock market price prediction; sales prediction; consumption and emission prediction; sales prediction; sentiment detection.• Detection models: network invasion/malware detection; sentimental analysis; recommendation system.• Calibrate the prediction using Conformal Prediction.• Project management: plan; budget; risk/issue; communication; requirements elicit; fit/gaps; design; development; bug-fix; test; deploy; rollout; maintenance.• Cross team management: sales; pre-sales; functional; technical; and executive.• Business management: business development; and business transformation; digital transformation.• Functional/Technical architecture of a web solution for simulation using DJango.