About

Veera Venkata Raju Saladi is a Senior Data Scientist at Walmart with over 8 years of experience in Deep Learning, Computer Vision, and NLP. He has extensive experience in developing AI products for diverse domains such as Healthcare, Financial, Manufacturing, and Automotive using Machine Learning/Deep Learning, Natural Language Processing, and Computer Vision. Veera has participated in the end-to-end AI product cycle, from gathering requirements to product deployment. He has experience in developing Proof of Concepts (POC), Minimal Viable Products (MVP), and production-level AI solutions. He is skilled in writing clean, reusable, and modular codes in Python. Veera has trained multilingual text classification models based on Transformer models like BERT and Universal Sentence Encoder. He has experience in NER and embeddings for multilingual text and using machine translation models based on Transformers like Helsinki-NLP for multilingual text generation. He has also trained a custom entity identification model based on Attention models and Pretrained LayoutLM models. Veera has experience in using Snorkel for Auto-Label generation and Data Augmentation, as well as training Anomaly detection models using Variational AutoEncoders with limited training data and Deep Learning models for Object Detection. He has built models using Support Vector Machines, Deep Convolutional Neural Networks, Recurrent Neural Network, Autoencoders, Attention Networks, and Transformer models. Veera is fluent with Python libraries like Scikit-Learn, Pandas, TensorFlow, PyTorch, OpenCV, NLTK, Spacy. He has experience in dealing with text data for Invoice UOA identification, Text classification, and Document comparison. He has also provided machine learning solutions for Predictive Maintenance of Industrial plants and dealt with Autonomous Driving Video data for Object Tracking, Detection, and Segmentation. Veera has previously worked as a Supervising Associate at EY, where he was a member of the Client Technology Team and AI Research Lab for Document Intelligence. He has also worked as an Associate Scientist at ABB Corporate Research Team, India, where he gained experience in Applied Research on enhancing ABB Products through Machine Learning. Veera holds a Master's degree in Control and Instrumentation from the Indian Institute of Technology, Madras, and a Bachelor's degree in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Kakinada. His tech stack includes AI, NLP, Research Scientist, Deep Learning, Computer Vision, Data Scientist, Text Classification, ML,