Summary
Sarbottam Magar is an AWS-certified Application Developer with 8 years of hands-on experience building cloud-native solutions, data products, and full-stack applications. He blends software engineering (Python, Java, JavaScript) with applied data science—delivering predictive models, NLP pipelines, and interactive Dash dashboards that have driven municipal insights and energy forecasts. Comfortable across serverless AWS services, containers, and model deployment (Zappa, Docker, TF Serving), he has shipped production APIs and automated CI/CD for ML products. Notably, he built a 93.5% accurate solar time-series predictor from high-frequency inverter data and a quantile-based used-vehicle pricing service serving models via serverless APIs. Based in Halifax, he thrives in fast-paced, cross-functional teams, shifting seamlessly between architecture, prototyping, and delivery while championing learning and collaboration.
8 years of coding experience
3 years of employment as a software developer
MSc in Computing & Data Analytics, MSc in Computing & Data Analytics at Saint Mary's University
BE in Computer Engineering, Computer Science, BE in Computer Engineering, Computer Science at Tribhuvan University