Building a Robinhood trading bot in Python involves using the Robinhood API to programmatically access your brokerage account...
Enterprise-grade sentiment analysis system implementing transformer models, aspect-based analysis, and multilingual support for natural language processing
A comprehensive guide to building a weather data service using FastAPI, with caching and error handling
Enterprise-grade text classification system implementing transformer models, multi-task learning, and automated model training for natural language processing
Enterprise-grade anomaly detection system implementing deep learning, statistical methods, and real-time monitoring for time series data
Implementation of a sophisticated time series forecasting system using LSTM, Prophet, and ensemble methods for multi-variate prediction
Production-grade MLOps system implementing continuous training, model deployment, monitoring, and automated model lifecycle management
Built a distributed platform for training and evaluating large language models, supporting models up to 70B parameters with automated evaluation pipelines and model optimization techniques.
Built an end-to-end machine learning platform for predicting patient readmission risks using electronic health records, achieving 89% accuracy and reducing readmission rates by 23%.
Developed a high-frequency trading system using reinforcement learning, processing real-time market data to execute trades with sub-millisecond latency and achieving 31% annual returns.
