Hire Ema I. - Generative AI Engineer

About ema

Programming in Python since 2014. 20+ AI/ML and Data Science projects developed at several companies and research institutions. AI Native app I was building with the team at Chaptr was featured on Google I/O 2023 Conference for Developers in San Francisco. Built AI Native apps using technologies like Image Classification and Generation, Text Classification and Generation, running Topic Modeling and building evaluation pipelines. Achieved 96.41% F1 on a multiclass object detection project as a visiting researcher at ULPGC and 99% accuracy and 98% F1 on a NLP classification project at Pangeanic S.R.L presented at Swisstext Conference in June 2022 in Lugano, Switzerland. I have previously fine-tuned LLM classifiers (GPT-2, BERT..) at Pangeanic S.L. in Valencia (Spain), and have worked on Computer Vision projects (ResNets and other types of Convolutional Neural Networks,...) at Secret Source S.L. (Canary Islands, Spain) and at the University of Las Palmas de Gran Canaria testing YOLOv5 and deploying UNET (semantic segmentation) + VGG16 convolutional neural network architecture on a microplastics dataset. Keywords: GCP, MLOps, Terraform, Topic Modeling (BerTopic, LDA, LSA..), Prompting (Few Shot Learning, CoT Reasoning, prompting w tools, In-Context Learning (ICT)), Stable Diffusion, supervised/unsupervised learning, BERT, GPT-2, GPT-3, YOLOv5, Convolutional Neural Networks, Residual Neural Networks, Recurrent Neural Networks, LSTM, Support Vector Machines, Naive Bayes, Logistic Regression, Multilayer Perceptron, and Ensemble Classifiers (boosting, bagging, Random Forest..), clustering (K-Means, DB Scan, KNN, Transactional Clustering..), Time Series forecasting & analysis (ARIMA, SARIMAX, Dynamic Time Warping, Motifs, Shapelets..), sequential pattern mining, Outlier & Anomaly Detection (ABOD, LOF, KNN, COF, INFLO, Grid-Based…), AI/ML libraries in Python (Keras, Pytorch, Tensorflow, Fast.ai, ScikitLearn, Pandas, SciPy..), Distributed Systems and MapReduce (Hadoop/Apache Spark) and ETL in Microsoft BI (SSIS, SSMS, SSAS), Data Warehousing & MOLAP Cube (Analytic SQL, MDX), HTML, CSS, Flask API, SQLite, SQLAlchemy. Data types: tabular data, textual document datasets, image datasets (for object detection and classification tasks). Please reach out if you want to chat about any of the above topics***

Common Questions