Results-oriented Machine Learning professional with strong experience in Deep Learning. I have 3 years of experience, with strong research skills and significant work in language models.

TECHNICAL SKILLS: • Data Science and Machine Learning tasks using Regression, Classifications, Trees, SVM, Kernels. • Deep Learning. (CNN, RNN, LSTM, Transfer Learning, Adversarial Nets etc.) with Tensorflow/PyTorch • Sequence Models. (NLP, Word Embeddings. Transformers. – attention based, Time Series) • Probabilistic Models and Unsupervised Learning. (Mixture Models. LDA. Clustering.) • Hyper-parameter tuning. Bagging. Boosting. Regularization. • Algorithms, Mathematical Optimization. (convex optimization. gradient descent. Newton’s Method.) • Tech Stack - Python, R, SQL, Spark • Experienced in working with GPUs, CUDA, AWS.

I do engage (pro-bono, discreet) with impact-driven teams, that need a hand with a well-defined machine learning problem. Lets Connect!