Industry Work Experience

I acquired many key skills through academia and industry that set me apart, particularly:

• A solid educational foundation in Linear Algebra, Probability, Statistics, Graphical models, ML, NLP, Deep Learning, GNNs and Reinforcement Learning
• Proficiency in Python and comfortable with C, MATLAB, Java, JavaScript, PostgreSQL
• Strong command line skills for working within virtualized machines (bash, tmux / screen, vim)
• Comfortable with TensorFlow, Keras, PyTorch, Pandas, Numpy, NLTK, Scikit-learn
• Working on teams using distributed version control (e.g., Git, SVN)
• Experience with Agile and DevOps methodology
• Deployed ML models in production
• Developing and managing data and annotation processes for diverse machine learning projects.
• Good working knowledge of AWS, familiarity with algorithms and systems for Data Science (Hadoop, Spark, MapReduce)
• Experience working with GPU clusters, handling and processing enormous datasets
• A proven ability to build rapport with individuals from all backgrounds