Avishek Goswami

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in Kubernetes and Go for cloud-native solutions.
  • Improved deployment efficiency by over 40% in past roles.
  • Certified in Kubernetes Administration and Application Development.
Stackforce AI infers this person is a Backend Engineer specializing in Kubernetes and cloud-native solutions for SaaS applications.

Contact

Skills

Core Skills

KubernetesGoMonitoring

Other Skills

AI workloadsAlertingAmazon Web Services (AWS)Apache KafkaCI/CD pipelinesDeployment automationDistributed SystemsDockerGrafanaHelmJenkinsKubernetes OperatorLLM model servingMLOpsMicroservices

About

Backend Engineer (4+ years) specializing in Go, Kubernetes, and distributed systems. At IBM, I build operators and scheduler plugins for AI workloads on IBM Z, enabling large-scale MLOps & LLM model serving across multi-arch clusters. At Ericsson, I developed Kubernetes Operators and observability stacks, automating deployments and improving system efficiency by 40%+. Skilled in designing resilient cloud-native systems, with certifications in CKA & CKAD.

Experience

Ibm

SDE-2

Nov 2024Present · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

  • Designed and deployed Spyre Operator on IBM Z, enabling secure lifecycle management of AI workloads on OpenShift AI; improved workload scheduling efficiency by 30% across multi-arch clusters.
  • Enhanced accelerator performance by implementing host-DMA vs P2P scheduling logic for workload distribution.
  • Designed and maintained multi-arch CI/CD pipelines (s390x, amd64, ppc64le) ensuring consistent delivery across architectures.
  • Contributed to MLOps & LLM enablement on OpenShift AI, supporting secure and scalable AI model serving.
  • Handled AIU-enabled clusters with both VF (Virtual Functions) and PF (Physical Functions), ensuring proper resource allocation, scheduling, and high availability.
  • Collaborated with global teams to integrate Spyre Scheduler Plugins, improving VF allocation and system reliability.
Spyre OperatorOpenShift AIAI workloadsCI/CD pipelinesMLOpsLLM model serving+2

Ericsson

3 roles

Developer (R&D)

Nov 2023Nov 2024 · 1 yr

  • Created a SearchEngine Kubernetes Operator in Go, automating lifecycle management and improving deployment efficiency by 40%.
  • Migrated workloads to Dockerized and Kubernetes-managed environments, increasing scalability and fault tolerance.
Kubernetes OperatorGoDockerDeployment automationKubernetes

Integration Engineer

Dec 2021Oct 2023 · 1 yr 10 mos

  • Automated complex deployments with Helm & Kubernetes, reducing release failures by 50% and cutting deployment time by 20%.
  • Developed and maintained monitoring & alerting stacks with Prometheus & Grafana, enabling proactive detection and faster resolution of system issues.
  • Built Python automation scripts for OpenSearch index management, improving memory utilization and system stability.
  • Worked in Agile cross-functional teams, participating in code reviews, design discussions, and release planning to improve product stability and velocity.
HelmKubernetesMonitoringAlertingPrometheusGrafana

Intern

Feb 2021Dec 2021 · 10 mos

Crio.do

Backend Student Devloper

Nov 2021Jul 2022 · 8 mos

  • portfolio:- https://www.crio.do/portfolio/crio-1704178-kiit-ac/

Highradius

Machine Learning Intern

Apr 2020Jun 2020 · 2 mos · Bhubaneswar, Orissa, India

  • AI Enabled Fintech B2B Cloud Application

Education

KIIT - Kalinga Institute of Industrial Technology

B.Tech

Jan 2017Jan 2021

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