Edwin Carreño

- Develops Matlab and Python software for Deep Learning/Machine Learning and Mathematical Optimization research. - Studies optimization techniques in the field of neuromorphic computing. - Supervises and assists in grading the Control Engineering exams at the master's level.

- Developed Deep Learning/Machine Learning software for image classification, object detection, and instance segmentation as part of the research project “PlanktAI”. - Created and prepared datasets comprising more than 15.000 images for object detection and image segmentation of algae using the Computer Vision Annotation Tool (CVAT). - Co-authored one paper for the “8th European Phycological Congress “Scientific Opportunities for a Global Algal Revolution” conference.

- Deployed Cloudera Kafka Distribution (on-premise and cloud), reducing data processing time for business analytics areas from 20 hours to less than 20 minutes. - Led the integration of Cloudera Kafka with the new banking core, involving more than 10 transversal projects in the organization. - Implemented over 10 proof of concepts related to customer behavior analysis, fraud detection, and anomaly detection using real data and tools such as Power BI, Jupyter Notebooks, NumPy, SciPy, Pandas, and TensorFlow.

- Enabled Daviplata's analytics team to utilize five (5) data sources by implementing scripts with AWK and a cron scheduler to generate reports every 12 hours. - Participated in at least four (4) deployments in production by using a multi-cloud architecture between Microsoft Azure, Amazon Web Services, and Google Cloud Platform for the areas of Business Analytics and Business intelligence.

- Designed a proof of concept for using unmanned aerial vehicles to transport money in regions with difficult access and under the influence of illegal armed groups. - Supported the design of chatbots using IBM technology to enhance customer experience in the bank. - Was part of the first generation of Davivienda Labs, the bank's innovation laboratory.

- Performed activities related to UAVs (Unmanned Aerial Vehicles), including deploying communication systems (ground station to drone), assembling drones, and making repairs. - Designed and deployed aerial operations for visual recognition of possible terrorist attacks in OIL & GAS surveillance, reporting results to military bases and headquarters remotely.

Final overall grade: 1.5 ("Sehr Gut", German grade system). Thesis title: "Pedestrian Detection with Uncertainty Estimation based on Subjective Logic and Prospect Theory". Thesis grade: 1.0 (German grade system).

Thesis title: "ASIC Implementation of a Data Compressor Based on Huffman Coding in 130nm Technology". Thesis grade: 1.0/1.0 (German grade system)