About

Gagan Bhatia is a talented and ambitious Software Developer, Machine Learning Engineer, and Aspiring Entrepreneur with a passion for creating innovative solutions that solve complex problems. With over 1.44 years of relevant experience, Gagan has honed his skills in backend development and data analysis, making him a valuable addition to any team. Gagan's expertise in a wide range of development languages and methodologies, including ML, AWS, Software Engineering, Backend, and BERT, makes him a versatile and adaptable developer. He has a proven talent for learning quickly in a results-oriented environment, and his bright critical thinking skills have helped him to excel in his field. Currently working as a Machine Learning Developer at nnect, Gagan has implemented algorithms to recommend personalized activity feeds with 85% accuracy. He has also engineered ML models using TensorFlow and Firebase ML Kit, which are used 1,000 times each day. Additionally, he has fixed bugs in front-end UI to improve performance by 25%. Prior to his current role, Gagan worked as a Research Assistant at the Qatar Computing Research Institute, where he built an ML Classifier to classify phishing Cryptocurrency websites using Random Forest. He also designed a Deep-Learning LSTM system to enhance the model. Gagan also worked at Naas.ai as an Open Source Development & Researcher, where he helped script faster with low-code Python formulas and automate tasks in minutes. Gagan holds a Bachelor of Applied Science in Computer Engineering from the University of British Columbia, where he is currently pursuing his degree, which is expected to be completed in 2022. He also completed his Grade 12 from Birla Public School, where he studied Mathematics and Computer Science. In addition to his technical skills, Gagan is also a Mental Health Advocate at Jack.org. He has excellent verbal, written, and interpersonal communication skills, which he uses to promote mental health awareness and support others in his community. Gagan is also a GitHub Campus Expert, which showcases his passion for sharing knowledge and supporting other developers.