I am pursuing a master's in Computer Science from Georgia Institute of Technology with concentration in Computing Systems. My software engineering portfolio includes projects on design and development of Distributed/Parallel Programming frameworks, Distributed File Systems, Distributed Database, SDN and Big Data Analytics.  Major Projects:- Distributed Map-Reduce Application:A distributed map-reduce system with fault tolerant master and workers nodes deployed as pods in a Kubernetes cluster on Azure Kubernetes Service. Current implementation has been designed and tested for word counter applications. For an input size of 1.3 GB and six vCPUS, the job takes ~500 seconds from submission to completionTech Stack: Go, Azure Blob Storage, Azure Kubernetes Service, etcd, gRPC, Docker, Bash- Distributed Sharded Key-Value Store:A distributed sharded key-value store that provides strong consistency guarantees and fault tolerance on the basis of PAXOS consensus protocol. The system is capable of handling fail-stop server failures and multi-key transactions are guaranteed to be atomic based on 2 Phase-Commit protocol.Tech Stack: Java, Junit, BashSystem Properties: Replication, In-Memory Data Store, Linearizable Writes, Garbage Collection(PAXOS Log)- File Transfer Protocol:File transfer service based on a custom designed HTTP-like protocol with server-side caching. The server-cache communication channel has been built using POSIX message queue and shared memory IPC APITech Stack: C, Linux, libcurl API, POSIX Shared Memory API, POSIX Message Queue API, POSIX Semaphores APIHotSpot Analysis:Geo-Spatial analysis of geographical data from NYC Taxi Trips Dataset, using Uniform Grid partitioning technique. The grid is composed of cells where each cell represents a pickup point with its timestamp. The hotspot analysis resulted in finding most in-demand zones in the city for taxi ride pickups as a function of timeTech Stack: Scala, Spark SQL, CSV