Krishnendu Sukumar

Call Log processing pipeline: Created a centralized call-log processing pipeline for a critical pharma use case using Kubernetes, Ansible, and event-driven AWS services, enabling automated log collection, transformation, and storage across containerized microservices environments. Human-in-loop automation: Reduced manual operational effort from 2,500+ hours to nearly 1 hour by automating log extraction, infrastructure provisioning, deployment workflows, and configuration management, significantly improving operational reliability and efficiency. Developed a High Availability Distributed Architecture on Kubernetes handling 10k+ daily transactions by configuring deployments, services, Liveness & Readiness Probes, and Horizontal Pod Autoscaler (HPA); optimized Docker image builds and rollout strategies to reduce deployment time by 40%, earning client recognition.

DevOps & Cloud Infrastructure - Infosys - India

(2024-11)

• Call Log processing pipeline: Created a centralized call-log processing pipeline for a critical pharma use case using Kubernetes, Ansible, and event-driven AWS services, enabling automated log collection, transformation, and storage across containerized microservices environments.
• Human-in-loop automation: Reduced manual operational effort from 2,500+ hours to nearly 1 hour by automating log extraction, infrastructure provisioning, deployment workflows, and configuration management, significantly improving operational reliability and efficiency.
• Developed a High Availability Distributed Architecture on Kubernetes handling 10k+ daily transactions by configuring deployments, services, Liveness & Readiness Probes, and Horizontal Pod Autoscaler (HPA); optimized Docker image builds and rollout strategies to reduce deployment time by 40%, earning client recognition.
• Implemented CI/CD pipelines for containerized applications and automated infrastructure provisioning using Terraform and Kubernetes.
• Built and maintained Grafana dashboards and Prometheus alerting rules to monitor pipeline health and application performance, enabling proactive detection of anomalies.

Research Fellow & Fullstack Associate - CSIR-CSIO & DRDO - India

(2023-12 - 2024-11)

• Administered and troubleshot bare-metal Linux and Windows servers supporting ML workloads and scientific research pipelines, ensuring system stability and uptime for government RD projects.
• Built internal fullstack interfaces using Next.js and Python to visualize scientific datasets, model outputs, and research insights.
• Contributed to snow avalanche detection research initiatives under DRDO by supporting data processing workflows and scientific computing environments.

B.Tech - Computer Science & Engineering - KIET, AKTU (2019-07 - 2023-07)