Ayush V.

Software Engineer

Hyderabad, Telangana, India3 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Built a distributed audit logging system reducing incident resolution time by 35%
Reduced metadata lookup latency by 40% with a caching layer
Designed a Global Namespace for unified access across 1000+ clusters

Stackforce AI infers this person is a Backend-heavy Infrastructure Engineer specializing in Distributed Systems and Cloud Storage.

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Skills

Core Skills

Distributed SystemsCloud StoragePerformance EngineeringSystem DesignStorage Systems

Other Skills

JavaC++gRPCZookeeperPythonIcebergMongoDBSoftware DevelopmentAlgorithmsOOPAWSSparkDistributed ComputingScalabilityDistributed System

About

🚀 Distributed Systems & Storage Engineer | File Systems (NFS, S3) | Low-Latency & High-Throughput Systems Software Engineer with 4 years of experience in distributed systems, cloud storage, and large-scale infrastructure. Focused on building scalable, fault-tolerant systems and solving performance bottlenecks in production environments. 💡 Key Achievements: - Built a distributed audit logging & analytics system, improving observability and reducing incident resolution time by 35% - Reduced metadata lookup latency by 40% by introducing a distributed caching layer for file path resolution - Designed a Global Namespace across 1000+ air gapped heterogeneous cluster, replacing per-cluster discovery with unified access - Improved storage efficiency and reduced infrastructure cost by 27% using erasure coding and RAID 🔹 Specialized in: Storage Systems & Infrastructure: NFS, S3, Distributed File Systems, Global Namespace Design Distributed Systems: Microservices, Zookeeper, Cross-Cluster Architectures Data & Caching: MongoDB, SQL, NoSQL, Distributed Caching, Metadata Optimization Performance Engineering: Latency reduction, throughput scaling, efficient resource utilization System Design: Fault tolerance, high availability, large-scale system architecture ——————————————— I enjoy working on storage systems, distributed architecture, and performance-critical infrastructure problems. Open to backend, distributed systems, and storage engineering roles in high-scale environments.

Experience

3 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

3 yrs 2 mos

Current Experience

Hewlett packard enterprise

Software Engineer 2

Mar 2023 – Present · 3 yrs 2 mos · Hyderabad, Telangana, India · On-site

Distributed Database software providing hybrid solutions.
Achieved a 40% improvement in service response time using: java, hadoop and Mapr-DB, reducing latency and boosting performance by integrating MapR-db to handle high-volume calls in a distributed microservice environment.
Boosted storage efficiency by 19% in the Cold Tier, using: C/C++, RAID. Implementing erasure coding to optimize storage utilization, driving both scalability and cost savings.
Developed a distributed microservice with reduced downtime, improving system stability and achieving 93.5% code coverage and rapid failure recovery, ensuring high availability.
Enhanced user experience by integrating Generative AI and a text-based query system, making data interactions more intuitive and efficient.
Reduced query response time by 43% data reads by 30%, using: java, iceberg, spark, hadoop optimizing data processing through the implementation of a summarization table with a cron job that updates every 5 minutes.
Engineered the FSAL layer in NFS-Ganesha to integrate with a shared-everything file system, ensuring efficient and consistent distributed access.
Skills: Java,C++,Grpc,Zookeeper,Python,Iceberg,Mongodb,Software Development,Algorithms,Oops,Aws,Spark,Distributed Computing,Scalability,Distributed System,Solid Principles,Microservices

JavaC++gRPCZookeeperPythonIceberg+13

Dremio

2 roles

Software Engineer

Jul 2022 – Feb 2023 · 7 mos

Developed dynamic logLevel change internal api, eliminating YAML updates to accomplish this.
Improved Exception Handling, corner cases and adding fallback exceptionMapper for REST Api’s.
Collaborated in discussions exploring end-to-end tracing using request-id and b3-headers.
Skills: Java,C++, Cloud Storage. Zookeeper,Python,Mongodb, Algorithms, Distributed Computing,Scalability,Distributed System, REST

JavaC++Cloud StorageZookeeperPythonMongoDB+6

SWE Intern

Jan 2022 – Jul 2022 · 6 mos

Updated api call for aws executors info details, drafted openSpec Api doc. -GRPC, Protocol Buffers.
POC and integration of Prometheus Metrics for specific clusters on new servlet, this removed existing client-side rendering and gave faster results with better overall functionality that comes with prometheus.
Adding alerts in Grafana to redirect specific notifications on pagerduty and respective slack channels, thus facilitating on-call.

Google Cloud Platform (GCP)Git

Qualcomm

Software Engineer Intern

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

Integrated throughput functionality using C in 5g-modem target. Which eventually helps to monitor packet transfer,thus reducing search space during debugging.
Automated debugging of different targets in python. Generalised script for targets, for bug tracking - Created code editor with tkinter for specific type(GASM).

Tkinter5G