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Machine Learning Engineer Resume Example

Resume Score: 80%

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MACHINE LEARNING ENGINEER
www.linkedin.com/in/raviraagavhttps://github.com/raviraagav7/DeepLearning
Professional Summary

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.

Skills
  • Programming Languages : Python, C++, C, MATLAB, Typescript
  • Deep Learning Frameworks : TensorFlow, PyTorch, Keras
  • Programming Libraries : OpenCV, CUDA, NumPy, Pandas, Scikit-learn, NLTK
  • Configuration Management : Git, Visual Source Safe, SVN
  • Tools : PyTest, Bitbucket, Jira, Confluence
  • Web Frameworks and Database : Django, Flask, Angular, PostgreSQL, Redis, MongoDB, S3
  • Platforms : Amazon Web Services (AWS), Microsoft Azure ML, Docker
  • Data Visualization Tools : Tableau, Matplotlib, Seaborn
Work History
Machine Learning Engineer | 12/2019 to Current
Kespry Inc. - Menlo Park, CA
  • Collaborated with multi-disciplinary product development teams to identify performance improvement opportunities and integrate trained models.
  • Researched, developed and evaluated SOTA Deep Learning models for classification, object detection and Semantic Segmentation. Also, Prototyped machine learning applications and determine application viability.
  • Data analysis and data preparation pipeline development.
  • Developed machine learning pipeline and trained models with End-to-End Bayesian Segmentation Network which resulted in savings of $400000 per year.
  • Expertise in training and deploying CNN, LSTM and other Sequence models on Azure, AWS using PyTorch, TensorFlow and Keras.
  • Data analysis and model training experience with hyperspectral data from drones in GeoTiff format.
  • Analyzed problems to develop solutions involving computer hardware and software.
Machine Learning Software Engineer | 08/2017 to 11/2019
3M - Saint Paul, MN
  • Developed novel algorithm which includes two-step process of accurately recognizing smart license plate using SOTA real time object detection followed by verification process which improves confidence of prediction.
  • Developed ML Web application using Django Rest Framework and deployed using AWS elastic container.
  • Designed reusable components by executing various standard frameworks to make it more modular and for easy deployment.
  • Worked on Integrating Map box to frontend to provide visualization of datapoint on maps.
  • Worked on GeoJson/Shapefile data formats for mapping districts on map and developed code for providing statistical information based on available features.
  • Developed code that leverages modern web application development frameworks ( MongoDB, Django, AngularJS 4.0).
Software Engineer(ComputerVision/ML) | 05/2013 to 05/2015
Larsen & Toubro Limited - Mysore, Karnataka, India
  • Implemented algorithms for image analysis using C++, C, MATLAB, and Python.
  • Developed novel computer vision solution to remove raindrops from side view camera.
  • Ported software from MATLAB to embedded C to port to embedded platform ADAS TDA2x with maximum precision.
  • Developed ML model for change detection in remote places. Collaborated with other teams to integrate and deploy system.
  • Design and developed innovative Image Processing techniques.
Additional Projects

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
Education
Rochester Institute Of Technology - Rochester, NY | Master of ScienceElectrical and Microelectronic Engineering, 05/2017

Received Merit Scholarship for outstanding academic record.

Graduated with 3.78 GPA

VISVESVARAYA TECHNOLOGICAL UNIVERSITY - Bangalore | Bachelor of ScienceElectronics and Communication Engineering, 08/2012
Additional Information
  • AWARDS, Best Team Performance Award - Larsen & Toubro Technology Services
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Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. As such, it is not owned by us, and it is the user who retains ownership over such content.

Resume Overview

Companies Worked For:

  • Kespry Inc.
  • 3M
  • Larsen & Toubro Limited

School Attended

  • Rochester Institute Of Technology
  • VISVESVARAYA TECHNOLOGICAL UNIVERSITY

Job Titles Held:

  • Machine Learning Engineer
  • Machine Learning Software Engineer
  • Software Engineer(ComputerVision/ML)

Degrees

  • Rochester Institute Of Technology - Rochester , NY | Master of Science
    VISVESVARAYA TECHNOLOGICAL UNIVERSITY - Bangalore | Bachelor of Science

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