Being part of the team in charge of maintaining and upgrading AI models for appraisal and valuation of domains names on a global scale. The systems where based on TensorFlow, and implemented embedings from BERT / HuggingFace and other sources.

Senior Data Scientist

● Implementation of custom NLP models on the mainstream of data for the implementation of deduplication of Entities, Named Entity Recognition, and Topic Modeling using Spark and Spacy on AWS. ● Implementation of a custom, highly scalable web scraper intended for extracting business-critical information in real-time from .aspx sites using scrapy has a framework.

Sr Machine Learning Engineer

<ul><li>Principal Data Scientist on a Globant ventures initiative that implements chatbots for companies in the retail sector, making use of the RASA Framework for the Training, Testing and Deployment of NLP / NLU Models. </li><li>Implementation of RPA / OCR system that used a pretrained NLP model for text classification and summarizing, and a custom implementation of AWS Textract for OCR. </li><li>Implementation of a Time Series Forecasting model, to predict the output in watts from several renewable energy plants. A process of data consolidation was implemented with the objective of performing feature engineering.</li></ul>

Sr Data Scientist / Machine Learning Engineer

<ul><li>Develop a custom modifier on top of Elasticsearch to tweak the search patterns aiming to specific audiences within the client’s platform.</li></ul>

Machine Learning Engineer

<ul><li>Setting the quality requirements, and general architecture of AI, And Advanced Analytics solutions across all the accounts that had deliverables related to AI / Machine Learning implementations. </li><li>Processing and extraction of 10 TB of data from the client&#x27;s database of the biggest energy utility company in South America to implement a smart pricing solution that was offered to 50+ Million customers. </li><li>Quality check and migration of an HPC system to PySpark for an important risk assessment company on the financial sector.</li></ul>

Principal Data Scientist

<ul><li>Optimize the ML Ops process of serving an audio splitting model based on Meta’s demucs that separates a song or a track into its constituent instruments and vocals using FastAPI and Pytorch. </li><li>Implementation of an API to assess the similarity score between the original track and the separated version once was remixed on a single track.</li></ul>

Data Scientist / ML Ops Consultant

<ul><li>Implementation of Data Science workflows for several AI implementations including churn prediction, clients segmentation, construction of dashboards, and insight extraction. </li><li>Development and implementation of several components of the SAAS catalog of the company including: a churn prediction API, a search / recommendation engine and a NLP engine for entity extraction and text classification. Those components were later used by 50+ Million customers companies like Claro, Rappi, and Movistar.</li></ul>

Senior Data Scientist.

<ul><li>Development of an NLP based text classification API, to tag assets on Workep’s application according to its contents.</li><li>Implementation of an internal Data Analytics Suite that described churn prediction and customers behavior metrics.</li></ul>

<ul><li>Database design, implementation APIs and definition of entities on the initial version of expert + application. </li><li>Design and implementation of a custom-made search engine based on word similarity of NLP embeddings using Spacy.</li></ul>

Python Developer / Machine Learning Engineer

Julian Fernando Vega Delgado

Focused on computational fluid dynamics, thermodynamics and engineering related applications of Finite Element Methods.

Personal details

Julian D.

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Education