I am machine learning researcher.
I have expertise in Computer Vision, NLP, & Machine Learning algorithms.
# In Computer Vision, I implemented models like
1. Image classification
2. Object Detection
3. Image segmentation
4. Image enhancement & restoration
5. Video classification and Compression.
# In NLP, I worked on
1. Text Classification
2. Sentiment analysis
3. Neural machine translation
4. Text summarisation
5. Entity Extraction
# Dataset I have worked on
1. Medical image
2. Solar energy
3. Satellites and IR sensor data
4 Text
5 Images
# Framework I am familiar to:
1. Tensorflow
2. Keras
3. Scikit learn
4. Pytorch
5. Numpy
6. Pandas
7. Xgboost/catboost
8. OpenCV
# Neural networks architecture I have implemented,
1. CNN
2. LSTM/RNN/GRU
3. TRANSFORMER
4. GAN & it's Variants
# Popular architecture I have worked on:
1. Alexnet
2. Resnet
4. Mobilenet
5. Faster RCNN & it's variants
6. DEEPLAB & it's variant
7. YOLO
9. Auto encoder
# programming language
1. Python
2. Java
3. C++