Sai Krishna Kishore Beathanabhotla

• 8+ years of overall experience working with diverse technology stack related to Data Engineering and Machine Learning.

• With 5+ years of strong development experience as a Machine Learning Engineer and a Data Scientist, developed applications based on Natural Language Processing and recommender systems.

• Architected, designed and developed several Active Learning systems which can perform online learning and predictions.

• Experience working with attention mechanisms, transformer architectures and pre-trained models like BERT and various neural network architectures using RNN, Seq2Seq, Transformers, Attention, and Memory networks.

• Designed and Developed systems to explain the rationale of ML models using Explainable Neural Networks.

• Good hands-on experience working with tools like Neptune.ai, Tensorboard and Streamlit.

• Good understanding about various Neural Network architectures like GAN, SSD, VGG, ResNet and Reinforcement Learning algorithms like Q-Learning, DQN, DDQN, Policy Gradient, Actor Critic, and A3C.

• 4+ years of data engineering experience in designing, developing and shipping a wide variety of Internet-scale services and APIs (50,000 requests/sec, 10s of PBs of data) using Document oriented NO-SQL databases and high-performance frameworks like Apache Spark.

• Strong knowledge of AWS and Azure.