About

Azeem Hussain is a skilled Competitive Programmer with expertise in Python, Java, C, C++, DBMS, and Data Structure. He is highly interested in AI, Machine Learning, and Deep Learning. Azeem has a strong entrepreneurship background and holds a Bachelor's degree in Computer Science and Engineering from Lovely Professional University. Currently, Azeem is working as a Senior NLP Engineer at Zevi, where he is responsible for enhancing the search experience by injecting artificial knowledge into machines to understand natural language and contextual sense. He is also contributing to the development of the company's search engine, one commit at a time. Azeem has previously worked as an NLP Engineer and Machine Learning Engineer at Infineon Technologies. During his tenure, he developed an automatic MCQ generation platform to assist FAEs in conducting tests easily and deployed the model on Infineon's High Cluster Platform. He also led the Document Query Mechanism (DQM) project from designing the architecture and defining various data pipelines to deploying it in a production environment. Azeem has published papers internally and given training sessions to attract new leads and improve the scope of semantic search within Infineon. Azeem's education history includes a Bachelor of Technology in Computer Science from Lovely Professional University. He has a vast TechStack that includes NLP, Search, Python, ML, AWS, AI, BERT, Deep Learning, Tensorflow, Pytorch, Flask, C, SQL, Elastic Search, Word2Vec, Jupyter, Web, Sagemaker, GPT, Scikit, Redis, Docker, Javascript, Research Scientist, MySQL, NoSQL, GCP, Integration, Mobile, Frontend, and Backend. With 3.70 years of relevant experience, Azeem is a highly skilled professional with a passion for AI and Machine Learning. He is always looking for opportunities to learn and grow in his field.