Rôles occupés
Back-end
➤ Back-end developer: Web APIs and services for Angular client app. Integrated platform to group different apps and tools for file processing and customer management destined to client's tax business unit. [SQL Server 2019, .NET Core 2.2, C# 7.3, VS 2019, Azure Storage: queues, blob, databases, Azure Service Bus, Azure Functions]
➤ Software R&D: Developed Proof of Concepts and prototypes based not only on users' requirements but on new technologies, methodologies, opportunities for automation within different lines of services.
➤ Implementation of new available technologies, services and providers, libraries and models. From the technical papers reading to the potential use cases analysis and the integration into existing or in-progress developments.
➤ Coordinated with international project leaders to set requirements, practices and projects planning. Defined and created deliverables for projects’ presentations and demos to senior staff. [Slack, Google Hangouts, Slides, Docs, Microsoft Visio]
➤ Developed web application for internal Knowledge Base based on different AI and ML Techniques for text and documents processing [Python NLTK, Gensim, Word2Vec, Flask + React JS, Graph DB on Azure Cosmos DB and Neo4j, Gremlin and Cypher query languages]
➤ Developed web applications and web APIs for Speech to Text and Text to Speech tools, based on Natural Language Processing techniques. [Python, Flask, RESTPlus, Swagger, Google’s APIs, Cloud SDK, Data Storages,Virtual Machines, Linux servers, Apache 2]
➤ Helped set up SQL database and define data schemas for client projects. Created and maintained complex SQL queries to extract relevant data for analysis and optimizations. [Embedded native SQL, Entity Framework]
➤ Data consistency: Exporting, importing, merging and cleaning different datasets from eCommerce platforms, mainly products and its features. Data restructuring and completion via scripting and data processing tools. [Python scripting, pandas, Rapid Miner]
➤ ML experiments: Testing of features for gender prediction and customers profiling into eCommerce platforms. [Python PANDAS, SciKit-Learn, Keras, Tensorflow, Matplotlib, Seaborn]
