About

Arkajyoti Pal is a Software Engineer at Microsoft with a strong background in software engineering, Azure, and research. With 2.77 years of relevant experience, he has a proven track record of delivering high-quality work in his field. Pal began his career as a Software Engineering Intern at Microsoft, where he worked on Post-Copy of Resource disk in a Live Migration scenario. He performed a Proof-of-Concept of post-copy based migration of resource disk, which was a previously unexplored territory in Azure/Hyper-V VM migration landscape. This project had a significant business impact as it helped reduce VM downtime due to host-maintenance/degraded-hardware from minutes/hours to the order of seconds. Prior to working at Microsoft, Pal was a Mitacs Globalink Research Intern at cole de technologie suprieure. During this time, he conducted an exploratory study comparing the effectiveness of machine learning classifiers and deep learning-based models in classifying tweets that can be resourceful to developers. He showed that attention-based LSTM models and the ones leveraging sentence/ word level transfer of knowledge outperform Naive Bayes and SVM, even in a paucity of training data. Pal holds a B.Tech (Dual) in Computer Science from Indian Institute of Technology, Kharagpur. His TechStack includes Software Engineer, Azure, Research Scientist, Naive Bayes, SVM, Deep Learning, and ML.