Passionate AI/ML engineer with a strong background in deep learning, computer vision, and natural language processing. Skilled in Python, TensorFlow, PyTorch, and various ML libraries. Excellent problem-solving, research, and collaboration abilities. Seeking a challenging role to develop cutting-edge AI solutions.
Work Experience
Empowering Creativity through
June 2022 – Aug 2022
DeepMind
AI Research Intern
Conducted research on reinforcement learning algorithms for robotics. Implemented and evaluated deep RL models using PyTorch and RLlib. Presented findings at weekly research meetings.
Jan 2021 – May 2022
Acme AI Solutions
Machine Learning Engineer
Developed and deployed machine learning models for various industries. Optimized model performance and ensured data quality. Collaborated with cross-functional teams to deliver AI solutions.
My Skills
Core competencies that drive my performance.
Programming Languages
Python91 %
C++95 %
SQL90 %
MATLAB97 %
Deep Learning Frameworks
TensorFlow96 %
PyTorch99 %
Keras93 %
Caffe97 %
Libraries & Tools
NumPy96 %
Pandas96 %
Scikit-learn90 %
OpenCV97 %
NLTK90 %
Git93 %
Docker93 %
Education
Empowering Creativity through
Aug 2019 – May 2021
M.S. in Computer Science, Artificial Intelligence
Stanford University
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Aug 2015 – May 2019
B.S. in Electrical Engineering and Computer Science
University of California, Berkeley
Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Developed an end-to-end system for generating descriptive captions for images. Utilized CNN and LSTM models for image feature extraction and caption generation. Achieved state-of-the-art performance on the COCO dataset.
Sentiment Analysis API
Built a RESTful API for sentiment analysis of text data. Implemented pre-trained transformer models using Hugging Face. Deployed the API on a cloud platform for easy integration.