Machine Learning Engineer Resume Example

Machine Learning Engineer with background in independent research using intuitive, web-based architecture for over 5 years. Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach, and deploys application into production yielding insights to expand customer-consciousness.

Natural Language Processing with Sequence Models

• Trained a neural network to perform sentiment analysis of tweets using the word embeddings using GLoVe word embeddings.
• Trained a Gated Recurrent Unit (GRU) language model to Generate synthetic Shakespeare text.
• Trained LSTM models with linear layers to perform named entity recognition (NER)
• Built a ‘Siamese' LSTM models to compare questions in a corpus and identify those that are worded differently but have the same meaning.
• Trained on uni-directional LSTM model for word trigger/ wake word detection and also analyzed the audio recordings by converting it to spectrograms

Natural Language Processing with Classification and Vector Spaces

• Developed an application that performs sentiment analysis of tweets using logistic regression and compared the performance with naïve Bayes
• Explored relationships between words using a Vector Space Model and also used PCA to reduce the dimensionality of the vector space and visualized the relationships.
• Developed an English to French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbor (KNN) search.

Image and Video Compression

• Explored and implemented : Huffman Coding Variations, Golomb Codes, Elias Coding, Arithmetic Coding, Lossless Image Compression Techniques, Lloyd-Max Quantizer, Linear Block Transforms, Hadamard, DCT, JPEG Lossy Compression Standard

• AWARDS, Best Team Performance Award - Larsen & Toubro Technology Services