LiveCareer-Resume

ml engineer resume example with 2 years of experience

Jessica Claire
  • , , 609 Johnson Ave., 49204, Tulsa, OK 100 Montgomery St. 10th Floor
  • Home: (555) 432-1000
  • Cell:
  • resumesample@example.com
  • :
Summary
Highly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
Skills
  • Summary
  • Having 3 years of experience as a Machine Learning Engineer, AI Developer, and Computer Vision
  • Engineer.
  • Strong programming skills in Python, R and C++.
  • 3 years of experience in Java programming- OOPS Concepts, JDBC, Sprint Boot.
  • Strong background in machine learning algorithms, data structures, and statistical analysis.
  • Proficient in software development tools such as Git, Jenkins, JIRA, and Agile methodologies.
  • Expertise in CUDA/OpenCL for GPU Programming.
  • Developed and evaluated computer vision models using TensorFlow, Keras, and OpenCV.
  • 2 years of experience in developing Machine Learning and Deep Learning models.
  • Developed more than 20 machine learning models and worked on projects implementing Neural
  • Networks.
  • Experience with Natural Language Processing, Computer Vision, and Image Processing.
  • Designed and optimized machine learning models using TensorFlow and Scikit-learn.
  • Worked with CNN, LSTM and YOLOv3 algorithms in Deep Learning projects.
  • Experience in developing and deploying deep learning models for various applications such as image
  • Recognition, tracking, natural language processing, and speech recognition.
  • Expertise in Shell Scripting.
  • Familiarity with big data technologies like Hadoop and Spark.
  • Have 1 year of experience in Tableau and Power BI, working on data visualization and Data Analytics.
  • Familiarity with cloud computing like AWS, Azure, and Google Cloud.
  • Hardworking, good team player, and quick learner with complex problem-solving skills.
  • Technologies Artificial Intelligence, Machine Learning, Deep Learning- Neural Networks,
  • Data Science, Software Engineering
  • Methodologies &Tools Tableau, Power BI, Matplotlib, PyTorch, TensorFlow, Keras, Scikit Learn,
  • Natural Language Processing, CUDA/OpenCL, SIMD
  • Hadoop, Spark, Microsoft Azure, Agile, AWS, Google Cloud Platform, Git,
  • Docker, Jenkins, JIRA
  • Programming Languages Java, Python, C, C++, Go, C#, R Programming, SQL
  • Scripting Languages HTML, JavaScript, PHP, Bootstrap, Shell Scripting
  • IOS Swift, Storyboard, Xcode, Objective-C
Experience
ML Engineer, 07/2022 to 04/2023
DocytDallas, TX,
  • Worked on developing various machine learning models for various business applications including predictive analysis, recommendation systems, feature engineering and natural language processing
  • Roles and Responsibilities
  • Worked on various machine learning projects including image segmentation, sentiment analysis and fraud detection
  • Assisted with data cleaning, feature extraction, and model evaluation using Python, R, and SQL
  • Utilized cloud platforms such as AWS, GCP and Azure for data storage and computing
  • Contributed to the development of machine learning pipeline for data preprocessing and model training
  • Participated in code reviews, writing unit tests, and document code to ensure high-quality software development practices.
Computer Vision Engineer, 06/2021 to 11/2021
DeloitteSan Jose, CA,
  • Developed computer vision algorithms and techniques for object detection and recognition
  • Roles and Responsibilities
  • Researched on machine learning algorithms and their application in computer vision
  • Implemented compiler optimizations to improve code performance
  • Used CUDA/OpenCL for GPU programming in data-intensive applications
  • Developed multithreading code for efficient parallel processing
  • Provided technical support and troubleshooting for computer vision software deployed in the field
  • Collaborated with team members for code review, testing, and debugging.
Artificial Intelligence Developer, 12/2020 to 06/2021
Inmovidu TechCity, STATE,
  • Developed a deep learning model using YOLOv3 algorithm to detect obstacles on the road, will be used in automatic cars and used for blind people if the algorithm is deployed into spectacles or any other devices
  • Roles and Responsibilities
  • Hierarchical feature extraction of Deep Learning
  • Implemented Convolutional Neural Network algorithm to solve the problem of obstacle avoidance and path navigating
  • Implemented YOLO algorithm which internally uses CNN
  • Used YOLOv3 algorithm with the help of its pre-trained model that detects around 80 different objects for building our model
  • This algorithm uses pixel-level texture information to determine the appropriate control to avoid obstacles
  • Added required convolutional layers to decrease loss
  • Worked with dataset compiled using depth images (RGBD)
  • Used Torch, Keras and OpenCV deep learning libraries
  • Utilized NLP and computer vision techniques to develop models for text and image classification
  • Developed UML, Activity Diagrams and Data Flow Diagrams to graphically represent the flow of data in a business information system
  • Performed Unit Testing and Black box testing for testing the model.
Machine Learning Developer, 07/2020 to 11/2020
Inmovidu TechCity, STATE,
  • Developed a model that detects abnormal activities in public places and generates an alert using Convolutional
  • Neural Networks and Long Short-Term Memory which involves the concept of deep neural networks
  • Roles and Responsibilities
  • Developed a model of combination of Convolution and LSTM networks
  • Used dataset containing 16 training videos and around 30 testing videos are used testing the model
  • Extracted Spatio-temporal features of the video feed
  • Every image sequence was monitored and trained to determine the Euclidian distance using convolutional neural networks
  • Fitted the training dataset into the model and added required number of convolutional layers
  • Added CNN layers on the front end followed by LSTM layers with a Dense layer on the output
  • Worked with NumPy, OS, CV2, Imutils, Keras packages.
Education and Training
Master of Science: Applied Computer Science, Expected in 05/2023 to Northwest Missouri State University - ,
GPA:
GPA: 4.0
Bachelor of Technology: Computer Science, Expected in 08/2021 to Jawaharlal Nehru Technological University - ,
GPA:
GPA: 7.9

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

Your data is safe with us

Any information uploaded, such as a resume, or input by the user is owned solely by the user, not LiveCareer. For further information, please visit our Terms of Use.

Resume Overview

School Attended

  • Northwest Missouri State University
  • Jawaharlal Nehru Technological University

Job Titles Held:

  • ML Engineer
  • Computer Vision Engineer
  • Artificial Intelligence Developer
  • Machine Learning Developer

Degrees

  • Master of Science
  • Bachelor of Technology

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

*As seen in:As seen in: