Alex Jaimes, Ph.D. Email & Phone Number

New York, NY, US

New York, NY, US

I manage Dataminr’s end-to-end real-time AI platform (AI Ph.D. research, engineering, data, and data science teams) to build, deploy, and maintain AI at massive scale, ingesting and processing billions of data inputs per day (text, images, video, audio, sensor data) from over one million data sources for products used across all industries. - Scaled AI.

New York, NY, US

Developed and taught industry-focused course. Topics:Ethics & responsible AI, Transformers from scratch, Prompt Engineering, Fine-tuning of LLMs, RNNs, Stable Diffusion, Reinforcement-Learning from Human-Feedback (RLHF), connecting multiple LLMs (LangChain, AutoGPT) and deploying them at scale, Regularization, Pre-training, embeddings, and data.

Palo Alto, California, US

Managed engineering and science team. Revamped in-prod algorithms, data collection, & evaluation.

New York, NY, US

Led the company's AI/ML efforts. Launched first ML product, designed controlled experiments and set up the R&D strategy.

New York, NY, US

Managed the engineering team, and redesigned the flagship product and algorithms.

Sunnyvale, CA, US

Started in Barcelona (Feb '10 until Dec '13), growing and managing teams of engineers and scientists from scratch in New York City, Sunnyvale, Bangalore, and Barcelona.Product impact highlights:o Delivered new user-facing feature across all Yahoo properties worldwide (5%-20% CTR increases, generating millions in revenue). o Delivered production algorithms.

Madrid, ES

• Established and managed the User Modeling and Machine Learning group, leading high-level meetings with strategy/business units to identify new data monetization and business opportunities.
• Research and implementation of techniques for Social Network Analysis, and Visual Analytics applied to large-scale customer data. Results transferred and deployed in marketing campaigns.

Martigny, Valais, CH

Set vision for project on meeting interaction. Operational leadership, and planning of all scientific activities, as well as coordination of technology transfer efforts, and research in human-centered computing and interactive media.

Macquarie Park, NSW, AU

Research on machine learning for video analysis and interaction, user studies, design, and implementation.

Armonk, New York, NY, US

Research on statistical classification of videos using visual and textual features (e.g., WordNet).Internships:- IBM Tokyo Research (Summer 2001): Developed a supervised learning framework to generate personalized video digests from user input.- IBM Research Yorktown (Summer 2000): Studied quality corrections done by an expert, at the National Gallery of.

Munich, DE

Research and implementation of machine-learning techniques for video indexing using audio.

Murray Hill, NJ, US

Designed and implemented a GUI to monitor and manage AT&T’s Worldwide Intelligent Network.

Ph.D., Artificial Intelligence

M.S., Computer Science

Bachelor Of Science (Bsc), Computing Systems Engineering