Jessica Claire
Montgomery Street, San Francisco, CA 94105
Home: (555) 432-1000 - Cell: - - -
Professional Summary

Machine Learning Engineer with background in independent research using intuitive, web-based architecture for over 5 years. Effectively research techniques for novel approaches to problems, develop prototypes to assess viability of approach, and deploy application into production yielding insights to expand customer-consciousness. Experience in developing Image processing/ML pipelines and also implementing Image/Video compression algorithms.

  • Ability to understand and implement machine learning and computer vision research papers.
  • Professional experience with strong coding and design skills in Python, C, C++, Java and MATLAB.
  • Proficient in ML tools and libraries OpenCV, NumPy, Pandas, Scikit-learn and data visualization tools Tableau, Matplotlib, Seaborn.
  • Excellent communication and organization skills, proven history handling various projects.
  • Strong problem solving and debugging/troubleshooting skills
  • Solid understanding of data structures, software design principles and algorithms.
  • Experience in developing ML Models in Python and Spark and also have experience in building data processing pipeline using Spark.
  • Working experience in building backend web frameworks using Django, Flask, Java along with integrating databases MongoDB, PostgreSQL, Redis and Data Storage Amazon S3, Azure Blob Storage.
  • Experience in building models using Geospatial and text based data.
  • Experience in working and deploying ML models to web based platforms like Amazon AWS EC2 and Microsoft Azure, also have experience in distributed training and deploying ML workflow using Azure Pipeline and Kubeflow
Work History
12/2019 to Current
Machine Learning Engineer Viasat Inc. Seattle, WA,
  • 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 hyper-spectral data from drones in GeoTIFF format.
  • Analyzed problems to develop solutions involving computer hardware and software.
08/2017 to 11/2019
Machine Learning Software Engineer Viasat Inc. Baltimore, MD,
  • 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, Java).
05/2013 to 05/2015
Software Engineer(CV/ML) Larsen & Toubro Limited City, STATE,
  • 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.
Expected in 05/2017
Master of Science: Electrical and Microelectronic Engineering
Rochester Institute Of Technology - Rochester, NY

Received Merit Scholarship for outstanding academic record.

Graduated with 3.78 GPA

Expected in 08/2012
Bachelor of Science: Electronics and Communication Engineering
Websites, Portfolios, Profiles
Additional Information
  • AWARDS, Best Team Performance Award - Larsen & Toubro Technology Services

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