Lamont Nelson

Lamont Nelson has a diverse and extensive work experience in the field of computer science and software engineering. Lamont most recently worked as a Lead Engineer at MongoDB, where they focused on distributed systems features, including sharding, fault tolerance, cluster management, and distributed algorithm implementation. Before that, Lamont worked as a Sr. Software Engineer at MongoDB, where they worked on the core MongoDB server's highly concurrent C++ codebase.

Prior to joining MongoDB, Lamont was a Research Assistant and PhD student at New York University, where they conducted research on high-performance distributed systems, distributed databases, consensus protocols, and concurrency control. Lamont contributed to a custom research platform studying distributed database transactions and developed a concurrency control algorithm.

Lamont also gained industry experience as a Research Assistant Intern at Microsoft Research, where they demonstrated how to collect data from existing distributed systems to generate a reinforcement learning model. Lamont modified the Redis key/value store to incorporate the trained model and published this work in the HotNets 2017 conference.

Before their research roles, Lamont worked as a Sr. Software Engineer in Blurb and as an Independent Consultant, providing custom mobile and web application development services, cloud automation and configuration, and custom software development.

Earlier in their career, Lamont worked at ThoughtWorks as a Senior Consultant/Engineer, providing technical advice and services to clients in various sectors. Lamont developed distributed applications using technologies like Python, Ruby, Java, C#, C++, and JavaScript and implemented automated testing strategies.

Lamont also served as a Senior Software Engineer at Detica and as a Software Engineer at the Internal Revenue Service/SRA International. During their time at the IRS, they implemented the Automated Proof of Claim System (APOC), aiding the IRS in obtaining tax revenues from insolvent taxpayers and enabling the identification and reclamation of over half a billion dollars of unpaid tax revenue.

Overall, Lamont Nelson's experience spans research, software engineering, distributed systems, database technologies, and development consulting, showcasing their expertise and versatility in the field.

Lamont Nelson has a Master's degree in Computer Science, with a focus on Distributed Systems. Lamont obtained this degree from New York University, where they studied until 2020. Prior to that, Lamont completed their Bachelor of Science degree in Computer Science, with a concentration in Mathematics, at the University of Maryland. Lamont attended the University of Maryland from 2003 to 2006.