Summary
Jesus Prada is a Senior Data Scientist with a Master’s in Physics and 12 years of experience applying rigorous mathematical modeling to real-world AI problems across startups and enterprise. He has led teams to productionize generative models for motion capture and animation, optimized pipelines by porting algorithms to C++ for real-time performance, and currently architects LLM-powered conversational agents and monitoring systems at Globant. His background in computational astrophysics fuels a strength for designing robust, interpretable algorithms and scaling complex ML systems—from CLV models at Rappi to GAN/VAE research showcased at NVIDIA GTC. Comfortable across the stack (Python, PyTorch, C++, MLOps, LangChain/LangGraph), he bridges research and product to deliver measurable business impact while prioritizing reproducibility and observability. An underrated asset is his track record of translating physics-grade numerical intuition into pragmatic engineering trade-offs that improve both model fidelity and runtime efficiency.
12 years of coding experience
6 years of employment as a software developer
Data Scientist Data Science For All (DS4A) LATAM, Data Scientist Data Science For All (DS4A) LATAM at Softbank & Correlation One
Universidad de los Andes
English, Spanish