Carlos Daniel Jiménez

Intro

I think the finest evening imaginable is a conversation with Sabina and Asimov about how unreal the present feels, while a table nearby holds books by Ernest Hemingway.

Who Is Carlos Daniel?

  • I’m Colombian
  • I live between Sweden and El Salvador
  • I work as an AI Software Engineer
  • I love Edge Computing, with GCP as my cloud
  • My research focuses on improving memory for LLMs through narrative-arc strategies, and then on inference optimization
  • I studied Economics, Philosophy, History, and Statistics
  • I define myself as someone who adores the sea and the acoustic guitar
  • I only listen to music on vinyl
  • When I’m not coding, I’m reading
  • I’ve lived and worked in: USA, Mexico, Chile, and Colombia
  • I love programming on the Raspberry Pi — doing it with Tmux and Nvim connected to the Raspberry Pi

About my work

Former AI Software Engineering Lead at Globant, where I worked end-to-end (e2e) across sectors such as Finance, Streaming, Healthcare, Human Resources, and Retail.

Worked as an AI Engineer at Yale University School of Medicine, developing products such as Voice-to-Text with Edge Computing, and time-series models for detecting responses to stimuli related to brain, mind, and cognition.

Former Principal Data Scientist at the Inter-American Development Bank, working on LLM and NLP challenges, as well as risk assessment utilizing Machine Learning and statistical modeling (and sampling).

Former Data Science Lead at Mercado Libre, where I developed catalog autocomplete products for various sections of the company’s portfolio, while concurrently developing anomalous activity detection models.

Former Data Scientist at the UN, where I worked on geolocation models and environmental issues.