Jorge E. Cayama Mendoza Email and Phone Number

In my role at Qaroní, I have spearheaded projects, leveraging numerical and statistical methods using Python. Key achievements include:• Implemented AWS Face Rekognition for employee time tracking.• Sales Forecasting using regression models. • Employed NLTK with Supervised Machine Learning techniques to categorize documents efficiently.• Pioneered “People Analytics” – an employee performance assessment service offering self-evaluation, multi-level feedback, and AI-recommended learning paths.• Enhanced an indexed search engine using NLP and semantic search techniquesto refine query results.Throughout these projects, I’ve honed expertise in MongoDB database management, and web services using FastAPI. GitLab served as the version control hub for each endeavor.

Working closely with M3 (Multisensor Massive Measurement), which is a high performance software for capturing and analyzing point clouds. M3 solves all the comprehensive process of scanning and point cloud management in a versatile, agile and powerfull way. My tasks include using visual development environments to modify, write, and debug the software based on the costumer requirements; build programs, test them out, and make improvements

Teaching the following subjects: Calculus, Physics, and Initial mathematics, in engineering careers.

Photographic Plates Reduction of la Carte du Ciel: Determination and correction of distortion patterns introduced by a commercial scanner when digitalizing photographic plates, in order to determine, with astrometric form (high precision), astronomical coordinates of stellar images appearing in them.