Akash C.

About Akash C.

Cloud Developer at HPE RnD, Ex-Solution Integrator at Ericsson with approx 5 years of work experience, with development in Distributed systems and kubernetes environments. Experienced at Kubernetes, Docker, Development with GoLang, C and C++.Certification:Certified Kubernetes Administrator (CKA)Certified Kubernetes Application Developer (CKAD)Linux Foundation Certified System Administrator (LFCS)Learn Docker by DoingDevOps Essentials

Experience

1. Cloud Developer Mapr

   Hewlett Packard Enterprise

   Nov 2023 — Present · Hyderabad, IN

   HPE MAPR Experience MapR is a Distributed Storage System acquired by HPE 1. Designing and Implementation of Async FUSE Client Tools & Technologies: C++, POSIX, FUSE, DSA, Distributed Systems - Designed and implemented an asynchronous process in the FUSE POSIX client from scratch, optimizing I/O performance for distributed environments- Developed the architecture for an efficient queuing process to support async implementation, minimizing latency and increasing throughput by 40x.2. File Server Implementation for Home Fleet (HF)Tools & Technologies: C/C++, NFS-Ganesha, Distributed Systems, KubernetesHPE Home Fleet (HF) is a new high-performance object storage platform optimized for SSD and AI workloads, built on a share-everything architecture for faster data access- Designed and developed the file server module using NFS-Ganesha- Implemented dynamic export lifecycle (create / update / delete)- Ensured consistency and high availability in Kubernetes deployments- Built FSAL and SAL layers integrating HF backend with NFS- Added retransmission and resiliency logic- Defined and executed test strategy and validation rules- Enable Matrix for billing3. Create OVA Image for Integration of MAPR with HPE GreenLake PCE-AI Tools & Technologies: Linux, Virtual Machines, KVM - Created customized Ubuntu images with MAPR pre-installed, enabling quick deployment in HPE GreenLake PCE-AI environments, facilitating fast integration for AI workloads.4. Maintaining Code for Hadoop Client Interface in MapR Tools & Technologies: Java, C++, DSA - Performed routine debugging and optimizations for the Hadoop client interface in the MapR environment.5. Minor Code Changes for Making MAPR Supported in SUSE SLES 4 Tools & Technologies: Linux, Virtual Machines, KVM, C++- Implemented minor code changes to ensure seamless compatibility and functionality of MapR on SUSE SLES 4, enhancing support for enterprise environments.

Education

• Kalinga Institute of Industrial Technology, Bhubaneswar

  High Secondary and 4th semister in B-Tech, Electronics and Tele-communication

  2016 — 2020