Experience

VoiceInteraction

• Portugal
• Information Technology & Services
• 1 - 100 Employee

• Software Engineer

  • Feb 2019 - Present

  I focus mostly on the new edition of the AI driven solution Media Monitoring System (MMS). Achievements: . Optimized MMS system resources usage, algorithms and extensibility . Guaranteed time-precision when accessing metadata . Increased robustness to Broadcast Signal errors . Implemented MPEG-TS streams analysis and monitoring (Java, C) I focus mostly on the new edition of the AI driven solution Media Monitoring System (MMS). Achievements: . Optimized MMS system resources usage, algorithms and extensibility . Guaranteed time-precision when accessing metadata . Increased robustness to Broadcast Signal errors . Implemented MPEG-TS streams analysis and monitoring (Java, C)



INESC-ID

• Portugal
• Research Services
• 100 - 200 Employee

• Research Student

  • Feb 2017 - Jun 2018

  Due to the diminishing sizes of electronic devices, electronic models are extremely complex and involve heuristic parameters which make them time-consuming and not reusable when changing manufacturer or technology. Under the supervision of Prof. Luís Miguel Silveira I developed a robust modelling framework using Machine Learning (support vector machines and neural networks) that allows modelling electronic circuits, regardless of the technology. This approach increased speed in circuit generation and evaluation, allowing Electrical Engineers faster turnover when optimizing circuit designs. Languages: (R, C). Ngspice circuit simulator Show less