* Top Project Award. * Used Machine Learning for condition recognition in the image dataset, three abnormal conditions were present alongside normal retinas. - Did architecture (Resnet50, Inception-v3, VGG16) and parameter selection. - Used Transfer Learning (using ImageNet and COVID-CTset as base). - Implemented Semi Supervised Learning (using only 5% of labeled images).Improved performance on a limited labeled dataset (5% labeled) using a semi-supervised learning approach: 0.9% F1 score improvement from the baseline.Retinal OCT: Retinal Optical Coherence Tomography create images by scanning the back of the eye using specified equipment. An ophthalmologist can detect different eye conditions to treat them. Detecting and treating these conditions in early stages usually means recovery and no vision loss.

Created corporate web sites and support systems for companies in Chile: - Designed, programmed and led a team of five (2 programmers, 2 sales persons and 1 designer). - Developed a PHP framework from ground up based on Git to allow easy code deployment and code updating throughout different projects. - Created a call center information management system to allow client tracking, created automated reports and did general data analysis. - Promoted deep documentation practices which allowed faster implementation and replication times. Allowed fast integration of new team members. Documentation included code and processes. Hosted on a private wiki. - Created an external wiki to share knowledge gained with the world.

Created, alongside Eugenia Hesse, a conceptual software to allow replicable scientific analysis methods using tree structures. Vuejs_tree was conceived to allow the creation of a tree structure defining different analysis methods, store the tree as a file and pass it to someone else for replication. Built using JavaScript, Node.js, Electron.js, Vue.js, HTML, CSS, Unit Testing.

Even though the job title states ‘sales’ the real focus was on implementing Retail Rocket’s solution on clients’ websites and making sure the solution worked as expected. Gave support to the sales team regarding technical challenges and knowledge. Also served as a link between Retail Rocket technical department and the clients’ implementation team.––––New sales, solution implementation on clients' websites and support existing clients.Responsibilities:- Maintain a robust sales pipeline.- Ensure customer satisfaction.- Accelerate customer adoption.- Develop long-term strategic relationships with key accounts.- Work with partners to extend reach & drive adoption.- Innovation on the sales and implementation processes.Retail Rocket is a multi-channel and Big Data based personalization platform for Ecommerce. Helping websites increase conversion and online sales with personalized recommendation, triggered email scenario and other services for their omnichannel e-commerces strategy.

Taught class of 62 students.Topics: Programming concepts (instructions, logic, conditions, events, loops, variables, functions, compilation, memory allocation, pointers), Data structures (stacks, heaps, strings, queues, lists, hash tables, trees), C, PHP, Searching and sorting algorithms, Linux concepts, HTML/CSS/JavaScript, Networking concepts.

Part time web developing job.Developed in Java and Managed Linux servers. Worked in a project for Chile's INP (Instituto de Normalización Previsional, now called IPS, Instituto de Previsión Social).