I am a Machine Learning Engineer with a background in Chemical Engineering and Bio Engineering. I love solving complex data and algorithmic problems and have extensive experience at high-growth startups - formerly the head of Machine Learning at Holberton School.

Programming Languages: Python (Numpy, Tensorflow, Keras, Scikit-Learn), C/C++, SQL, Ruby on Rails, JavaScript, HTML, CSS

Machine Learning and Deep Learning:

• Supervised Learning: Linear Regression, Logistic Regression, SVMs, KNNs, Neural Networks, CNNs, RNNs, Transformers, Computer Vision (Object Detection, Image Segmentation, Face Recognition/Verification, YOLO, OpenCV), Natural Language Processing (NLTK, SpaCy, Gensim)
• Unsupervised Learning: Bayesian Optimization, Clustering, k-means, GMMs, Dimensionality Reduction, PCA, tSNE, HMMs, autoencoders, GANs
• Reinforcement Learning: Monte Carlo, TD(λ), SARSA(λ), Q-learning, Policy Gradients, OpenAI Gym, KerasRL

Data Visualization: Matplotlib, Seaborn, Pandas

Cloud: AWS (EC2, S3), GCP

Frameworks & Other: Git, Anaconda, Flask, Gunicorn, HAProxy, ufw, OpenSSL, Nginx, Apache, Docker, Vagrant, Bootstrap, WordPress