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Raghvi Goyal

Software Development Engineer @Cisco | 1 Year Experience | Back-end Engineering | Cloud-Native Technologies | Distributed Systems | API Development | Performance Optimization

Greater Bengaluru Area

4+ years of work experience

Cisco
Jul 20251 yr 2 mosPresent

In my current role at Cisco, I have designed and implemented automated database partitioning solutions for high-volume outbox event tables, which improved query performance by 45% and significantly reduced operational maintenance overhead by 60%. I have also engineered and deployed over 50 Splunk dashboards to monitor system health, CI/CD pipelines, and deployment workflows, enhancing infrastructure reliability. Additionally, I developed a Refresh Provisioning API end-to-end within 24 hours, transforming a manual approval workflow into a single API execution with a response time under 1 second. My focus on optimizing observability and monitoring capabilities has greatly enhanced system reliability and operational decision-making. Achievements: Key achievements in this role include the successful design of automated solutions that led to a 45% improvement in query performance and a 60% reduction in maintenance overhead. I also played a crucial role in deploying Splunk dashboards that improved monitoring capabilities and developed an API that streamlined workflows, showcasing my ability to deliver impactful results in a fast-paced environment.
Cisco
Jan 20257 mosJul 2025

During my internship at Cisco, I integrated the Splunk Observability Cloud with internal microservices infrastructure by deploying OpenTelemetry Collectors across AWS EKS clusters. This integration enabled consolidated observability views for distributed systems, significantly improving troubleshooting efficiency and surfacing complete system insights within 10–15 minutes. I configured telemetry pipelines for metrics, traces, and logs across Kubernetes workloads, which reduced incident analysis time by nearly 50%. My contributions enhanced monitoring and diagnostics capabilities across cloud-native infrastructure environments through centralized telemetry implementations. Achievements: My key achievements during this internship include the successful integration of observability tools that improved troubleshooting efficiency and the configuration of telemetry pipelines that reduced incident analysis time by 50%. These accomplishments reflect my ability to contribute effectively to team goals and enhance operational efficiency in cloud-native environments.
Wayspire
Oct 20233 mosDec 2023

BudLinks Pvt Ltd
May 20234 mosAug 2023

Mumbai

AppTeam NITH
Mar 20223 yrs 1 moMar 2025

Hamirpur, Himachal Pradesh, India

Raghvi’s AI Stack

antigravity
antigravity
claude code
claude code
cursor
cursor
opencode
opencode

Education

National Institute of Technology Hamirpur

Bachelor of Technology - BTech, Electronics and Communications Engineering

National Institute of Technology Hamirpur

20214 yrs2025

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Headline

Software Development Engineer @Cisco | 1 Year Experience | Back-end Engineering | Cloud-Native Technologies | Distributed Systems | API Development | Performance Optimization

About

Graduating from the National Institute of Technology Hamirpur in 2025 with a BTech in Electronics and Communications Engineering, I currently contribute as a Software Development Engineer at Cisco. My core competencies include performance optimization, system reliability engineering, and implementing OpenTelemetry and logging solutions to enhance operational systems. At Cisco, I focus on improving system reliability and efficiency. I have implemented automated database partitioning solutions, designed and deployed over 50 Splunk dashboards, and developed a high-performing Refresh Provisioning API. My work emphasizes optimizing observability, monitoring, and performance for robust cloud-native infrastructures.

Location

Greater Bengaluru Area

AI stack

antigravity

claude code

cursor

opencode

Work experience

Software Development Engineer at Cisco, Jul 2025 - Present · 1 yr 2 mos, In my current role at Cisco, I have designed and implemented automated database partitioning solutions for high-volume outbox event tables, which improved query performance by 45% and significantly reduced operational maintenance overhead by 60%. I have also engineered and deployed over 50 Splunk dashboards to monitor system health, CI/CD pipelines, and deployment workflows, enhancing infrastructure reliability. Additionally, I developed a Refresh Provisioning API end-to-end within 24 hours, transforming a manual approval workflow into a single API execution with a response time under 1 second. My focus on optimizing observability and monitoring capabilities has greatly enhanced system reliability and operational decision-making. Achievements: Key achievements in this role include the successful design of automated solutions that led to a 45% improvement in query performance and a 60% reduction in maintenance overhead. I also played a crucial role in deploying Splunk dashboards that improved monitoring capabilities and developed an API that streamlined workflows, showcasing my ability to deliver impactful results in a fast-paced environment.

Technical Intern at Cisco, Jan 2025 - Jul 2025 · 7 mos, During my internship at Cisco, I integrated the Splunk Observability Cloud with internal microservices infrastructure by deploying OpenTelemetry Collectors across AWS EKS clusters. This integration enabled consolidated observability views for distributed systems, significantly improving troubleshooting efficiency and surfacing complete system insights within 10–15 minutes. I configured telemetry pipelines for metrics, traces, and logs across Kubernetes workloads, which reduced incident analysis time by nearly 50%. My contributions enhanced monitoring and diagnostics capabilities across cloud-native infrastructure environments through centralized telemetry implementations. Achievements: My key achievements during this internship include the successful integration of observability tools that improved troubleshooting efficiency and the configuration of telemetry pipelines that reduced incident analysis time by 50%. These accomplishments reflect my ability to contribute effectively to team goals and enhance operational efficiency in cloud-native environments.

Machine Learning Intern at Wayspire, Oct 2023 - Dec 2023 · 3 mos

Flutter Developer at BudLinks Pvt Ltd, May 2023 - Aug 2023 · 4 mos, Mumbai

Coordinator at AppTeam NITH, Mar 2022 - Mar 2025 · 3 yrs 1 mo, Hamirpur, Himachal Pradesh, India

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, National Institute of Technology Hamirpur