Experiences
- Industries
- AI, Big Data, Computing, Networking
- Computer Vision
- Machine Learning, Deep Learning and Data Technologies
- ML Libraries: Tensorflow, Keras, scikit-learn (and a little bit of hacking around PyTorch)
- Worked with ML models based on Random Forests, Boosting Techniques, etc.,
- Worked with various DNN models like ResNet, Inception, etc.
- Experience with training DNN models on GPUs
- Object Detection using SSDs and Yolo
- Data Science tools used: pandas, numpy, scipy, matplotlib, and numerous others
- Reasonable knowledge of Hadoop
- Cloud Technologies
- Mostly AWS
- Implemented several tools and libraries using boto3
- Services used in projects: EC2, S3, AWS IoT Core, Lambda, etc.
- Databases
- SQL, Cassandra, Redis (basic knowledge)
- Languages
- Python (intermediate to advanced)
- C++ (basic)