About

Skyler Badge is an accomplished Software Engineer with over 1.77 years of relevant experience in the field. Currently working as an Associate Member of Technical Staff at Salesforce, Skyler is responsible for developing job scheduler services that automate resource allocation to clients based on operation metrics. Additionally, Skyler has implemented priority-based, round-robin, and load balancing algorithms in Salesforce's configuration. Prior to joining Salesforce, Skyler worked as a Software Development Engineer at the same company, where he developed a job scheduler service and implemented priority-based, round-robin, and load balancing algorithms. Skyler also worked on an interpretable minimal complexity machine for predicting glass properties while at the Indian Institute of Technology, Delhi, where he is awaiting publication as the first author. Skyler's MCM Regressor model is designed to predict the properties of glasses with higher accuracy than DNNs and XGBoost, and it learns the composition property relationships of materials to help choose the exact glass composition. The model is significantly faster than Shapely Additive exPlanations (SHAP) analysis while generating similar results. Skyler holds a Bachelor of Technology degree in Electrical Engineering from the Indian Institute of Technology, Delhi. He also has a Bachelor's degree from Pace Junior Science College and Hiranandani Foundation School, Powai, Mumbai. Skyler's tech stack includes expertise in software engineering, Salesforce, and XGBoost. Overall, Skyler is a highly skilled Software Engineer with a strong background in machine learning and data analysis. He is committed to delivering high-quality work that meets the needs of his clients and colleagues. Skyler is a valuable asset to any team and is always looking for new challenges to tackle.