Machine Learning Engineer Resume Example Company Name

MACHINE LEARNING ENGINEER

Professional Summary

Innovative, energetic Machine learning Engineer with 5 years of experience in the design and development of deep learning / computer vision applications and implementation of solutions in cloud-based software. Offer success delivering cutting-edge algorithms, prototypes, and proofs of concept using expertise in digital video / image processing and machine learning. In-depth knowledge of test-driven development (TTD) and agile methodologies with background as key contributor to entire software development life cycle (SDLC).

Skills

Programming Languages: Python, C++, C, MATLAB, Octave, JavaScript, Typescript
Deep Learning Frameworks: TensorFlow, PyTorch, Keras, MatconvNet,
Programming Libraries: OpenCV, CUDA, Scikit, seaborn, Numpy, Pandas, GDAL
Configuration Management: Git, Visual Source Safe, SVN

Tools: PyTest, Bitbucket, Jira, Confluence
Web Frameworks: Django, Django Rest framework, Celery, Docker, AngularJs
Databases: PostgreSQL, Redis, MongoDB
Platforms: Amazon Web Services (AWS), Microsoft Azure ML, Amazon Elastic Compute Cloud (EC2)

Work History

Machine Learning Engineer, 12/2019 to Current
Company Name – City, State

Research and implement the latest machine learning techniques
Develop a model which replaced high-quality manual image segmentation which in production would reduce company costs by $400000 per year
Develop data analysis and data preparation pipelines including image augmentation and image enhancement pipelines for model training
Expertise in training and deploying models on Azure ML using PyTorch
Data analysis and model training experience using hyperspectral data captured from drones in GeoTiff format
Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale
Prototyped machine learning applications and quickly determined application viability
Created customized applications to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms
Designed, implemented and evaluated new models and rapid software prototypes to solve problems in machine learning and systems engineering

Software Engineer, 08/2017 to 11/2019
Company Name – City, State

Designed and developed complete CV/ML pipeline for real-time recognition of license plates
Developed a novel algorithm which includes a two-step process of accurately recognizing smart license plate followed by a verification process which improves the confidence of the prediction
Worked on dockerizing the application using Django Rest Framework and deployed using AWS elastic container
Explored proof of concept (POC) features in different technology stacks to enhance readability of license plates which improves the sales of 3M technology and materials
Designed reusable components by executing various standard frameworks to make it more modular and for easy deployment
Worked on Integrating Map box to the frontend to provide the visualization of the datapoint on maps
Worked on GeoJson/Shapefile data for mapping the districts on the map and developed a code for providing statistical information based on the available features
Develop in Python/C/C++ or other applicable technologies
Developed code that leverages modern web application development frameworks ( MongoDB, Django, AngularJS 4.0)
Performance tuning for a high-performance operational platforms

Software Engineer, 05/2013 to 05/2015
Company Name – City, State

Computer vision Managed full software development life cycle (SDLC) for scientific 2D imaging analysis system, implementing algorithms for image analysis software and using C++, C, MATLAB, and Python
Used MATLAB and image processing techniques to develop a prototype for real-time removal of rain droplets from side view cameras
Converted code from MATLAB to CUDA C to port to embedded platform ADAS TDA2x with maximum precision
Developed algorithm to detect changes in remote and vulnerable places seen using fixed camera and send alert message when person or vehicle is detected
Partnered and coordinated with other teams to integrate and deploy system
Designed, implemented, and tested high-precision algorithm for pedestrian detection using deep neural networks and performance evaluation for varying dropouts
Developed using Python and Caffe
Developed algorithm to detect and highlight lane markers in MATLAB, with 94% accuracy
Converted code from MATLAB to C to port to embedded platform for real time performance
Used state-of-the-art machine learning techniques for hand gesture recognition and tracking system integrated with ultra-sound machine to maintain sterility of the environment

Education

Master of Science: Electrical and Microelectronic Engineering, 2017
ROCHESTER INSTITUTE OF TECHNOLOGY - City, State

Received Merit Scholarship for outstanding academic record. Computer vision Machine Learning Digital Image Processing Deep Learning Image and Video Compression Digital Signal Processing

Bachelor of Science: Electronics and Communication Engineering, 2017
VISVESVARAYA TECHNOLOGICAL UNIVERSITY - City

Additional Information

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

Resume Overview

School Attended

ROCHESTER INSTITUTE OF TECHNOLOGY
VISVESVARAYA TECHNOLOGICAL UNIVERSITY

Job Titles Held:

Machine Learning Engineer
Software Engineer

Degrees

Master of Science : Electrical and Microelectronic Engineering , 2017
Bachelor of Science : Electronics and Communication Engineering , 2017

Machine Learning Engineer Resume Example

Resume Score: 80%

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