About

Arham Ahmed is a highly skilled Software Engineer currently working at Microsoft. With a passion for programming, he is dedicated to applying efficient strategies to solve real-world problems. Arham has gained valuable experience during his time at Amazon, where he worked as a Software Engineering Intern. During this time, he crafted a novel genetic algorithm-based SAT solver in Java to solve an NP-hard problem of allocating ads to videos with multiple constraints in real-time. He also modeled the ad allocation problem mathematically, allowing the use of constraint solvers to find optimal solutions, and built a stochastic greedy algorithm to allocate video ads resulting in an 8x speedup with near-optimal performance. Additionally, Arham added a new ad playlist serializer ingested by video players, allowing dynamic ad placement, tracking, and control. Arham's experience at Microsoft has been equally impressive, where he has worked as a Software Engineering Intern. During his time there, he designed and implemented an optimal sharding strategy to partition arbitrary streamed input events. He also reduced the number of sharded output files heavily by efficiently caching file handles while minimizing memory usage. Furthermore, he increased write throughput to Blob Storage by 13% by migrating all IO operations to asynchronous tasks. Arham introduced feature flags, enhanced validation, and added telemetry, improving service incident mitigation. Arham's education background includes a Bachelor of Applied Science (B.A.Sc.) in Computer Engineering from the University of Waterloo. He has also completed his high school education from Milliken Mills High School. Arham's technical skills include expertise in Software Engineering and Java. With 3.78 years of relevant experience, Arham is a valuable addition to any team.