About

Nabeel Qaiser is a highly skilled computer science professional with over 2 years of industry experience. He is currently working as a Backend Developer at a stealth mode gaming startup. Nabeel has a proven track record of demonstrated problem-solving skills in algorithms and data structures. He secured a rank under 500 pan-India in the CodeX event organized by Scaler Academy, which showcases his exceptional coding abilities. Nabeel's expertise lies in working with various state-of-the-art models, methods, and frameworks in Deep Learning and NLP such as BERT, PyTorch, RASA, Artificial Neural Networks, RNNs, LSTMs, seq2seq, Attention, Transformers, Word Embedding, node2vec, etc. He is always seeking opportunities to apply his domain knowledge to deliver business solutions efficiently and at scale. Before joining the gaming startup, Nabeel worked as a Researcher at TCS Research & Innovation, where he successfully engineered a chatbot that can converse with respect to the information/knowledge accumulated from various resources. He extended the RASA framework for building the chatbot and introduced the comprehension reader module into the framework to handle unexpected questions. He also reduced memory consumption by 80% and automated the hand-picked feature engineering by extending the graph neural networks, a representational learning model for large-scale graphs, on the real-world social media network. Nabeel is a Bachelor of Technology in Computer Science graduate from the Indian Institute of Technology, Patna. He completed his degree in 2019. He has also completed his 12th standard from PMS Public School and 10th standard from Wilsonia College. Nabeel has a vast array of technical skills, including Backend, BERT, Neural Networks, Deep Learning, NLP, Pytorch, Research Scientist, Elastic Search, P2P, Golang, AI, qa, Search, GCP, Software Engineer, Python, and Java. He has relevant experience of 3.78 years, making him a valuable asset to any organization.