About

Anuj Jha is a highly skilled and experienced Machine Learning Engineer with a passion for developing scalable solutions to complex problems. Currently working as a Software Engineer - ML Level I at Condé Nast Data (India), Anuj has a strong background in Predictive modelling, Machine Learning, and Deep Learning, with a focus on Natural Language Processing (NLP) and Python. Anuj's technical expertise spans a wide range of areas, including PySpark, MLOps, CI-CD, MLFlow and model registry, Databricks, Apache Airflow, Big Data, SQL, AWS, Git and GitHub, Redash, and Tableau. He has worked on several portfolio projects, including BERT, GPT-2, XLNET based News summarising and clustering, Depthwise-CNN and modified transfer learning (VGG-16) for Pneumonia Detection using Chest X-rays, and a unique chatbot using Google Search API and core NLP techniques. Anuj has a Master of Technology degree in Data Analytics from NIT Trichy and a Bachelor of Technology in Computer Science from Swami Vivekananda Institute of Science & Technology (SVIST). He has also gained valuable experience through his past roles as a Machine Learning Engineer Intern and Machine Learning Engineer at Condé Nast. With 1.78 years of relevant experience, Anuj is a highly motivated and dedicated professional who is always looking for new challenges and opportunities to develop his skills and expertise. He is a team player who enjoys working collaboratively with others to achieve common goals and is committed to delivering high-quality results that meet or exceed expectations.