Summary
Alan Casallas is a Machine Learning Engineer and Software Development Engineer III with an MIT MEng and 11 years of industry experience building low-latency, high-QPS ML systems and data pipelines. He has a strong track record at scale—designing real-time inference platforms on Kubernetes and AWS that processed millions of predictions per minute and delivering substantial cost savings and latency improvements. Alan founded and led East Summit Capital’s tech stack, productionizing an intraday trading pipeline with real-time feature extraction, inference, and automated execution. His expertise spans transformers and LLM fine-tuning, multimodal architectures, and streaming platforms such as Kafka, Airflow, and Spark, grounded in hands-on model validation and backtesting. Comfortable across research and production, he holds a patented MIT thesis on sensor replacement via signal-processing and ML methods, blending rigorous academic roots with pragmatic, performance-driven engineering.
11 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng Electrical Engineering and Computer Science, Master of Engineering - MEng Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Spanish