Kaushik Kumaran

Site Reliability Engineer · IBM

Education

Boston University

MS, Computer Information Systems

SRM Institute of Science and Technology

B.Tech, Computer Science Engineering

Professional Experience

IBM

Site Reliability Engineer · TLS Top Performer ’25

Austin, Texas
  • Eliminated 1,500+ hours of annual manual toil for 7,000+ VMs with a multi-API pipeline. Accelerated data retrieval by 93% and reduced maintenance preparation from one hour to under five minutes through a custom Go CLI.
  • Co-developed a chaos engineering and regression framework using Instana APIs for deep root-cause analysis. The system helped resolve 30+ critical infrastructure defects before customer impact.
  • Architected AI-driven data infrastructure with a scalable Python ingestion engine, MCP server, Qdrant vector database, and dynamic schema handling for context-aware agent workflows.
  • Redesigned IBM DevSecOps pipelines around a dynamic trigger architecture, centralizing secret scanning and pull-request workflows across repositories.
  • Reduced deployment time per datacenter by 66% through Helm-based OpenShift automation, replacing 23 manual configuration files with one dynamic source.
  • Built an API-driven alert-suppression workflow integrating ServiceNow change logic with Instana maintenance windows across global datacenters.
PythonGoKubernetesAnsibleTektonIBM PowerVS

Searce Inc

Cloud Engineer

Bangalore, India
  • Improved monitoring reliability by 40% and reduced server crashes by 50% by migrating self-managed Prometheus to Google Managed Prometheus and resolving 10+ critical configuration issues.
  • Executed end-to-end cloud migrations for enterprise clients using Velostrata and v5 Migrate, modernizing legacy environments into cloud-native architectures.
  • Improved operational efficiency by 40% with Python automation and infrastructure optimizations that reduced recurring overhead and cloud spend.
GCPDockerPythonPrometheusGrafanaTerraformGKE

Software Developer · Norinco Pvt Ltd

Developed a scalable NestJS and TypeScript backend with PostgreSQL, improving query time by 40%. Supported client projects across the development lifecycle and built an authenticated React Native logistics application.

Software Development Engineer · Magnox Technologies

Designed a scalable React Native EdTech platform that reduced the projected implementation workforce cost by 90%.

Software Development Engineer · My Equation (formerly Tech Analogy)

Built React and Next.js products in TypeScript, improved SEO by 50%, and deployed services on AWS EC2. Supervised a team of 10 developers while tracking backlogs and delivery through an agile workflow.

Research

Research Intern

Geriatric health systems

Developed an all-in-one geriatric health solution with a centralized, authorization-controlled reporting system. Reduced the required assessment parameters by 55%.

Research Developer

Smart-campus waste management

Designed an IoT and mobile system for live waste-bin status across a 250-acre campus, combining machine-learning optimization, visualization, and real-time authority notifications.

Research Intern

Cardiac-risk prediction

Built a medical-data model for coronary-artery-disease prediction with 95% accuracy while reducing required parameters by 55%. The resulting paper was accepted to IEEE ICESIC 2022.

Publications

Coronary Artery Disease Prediction using Machine Learning Algorithms

Accepted to IEEE ICESIC 2022 Conference · 2022

Machine-learning research on coronary-artery-disease prediction with a smaller clinical feature set.

Read ↗

Efficient Waste Management System using IoT and Smart Credit System for College Campuses

Accepted to Springer CCIS · 2023

An IoT and smart-credit architecture for live waste monitoring and optimized collection across university campuses.

Read ↗

Engineering Projects

Kubernetes security · AI infrastructure

Argus

View code ↗
  • Architected a multi-layer Kubernetes observability system capturing network and kernel signals through eBPF for real-time threat analysis.
  • Built a threat-detection and AI-evaluation pipeline that correlates low-level telemetry with the MITRE ATT&CK framework.
  • Implemented human-governed remediation with Cilium and Falco for pod isolation and process termination.
  • Designed chaos threat-injection workflows to evaluate detection accuracy and reasoning robustness under failure conditions.
  • Delivered an end-to-end platform with 71 passing tests and a React control interface.

Sentinel

2026

A LangGraph multi-agent orchestrator coordinating Argus for security and Phoenix for chaos and regression testing.

LangGraphPythonKubernetesFastAPI

Phoenix

2026

A Kubernetes chaos and self-healing agent that injects failures, diagnoses incidents, and gates remediation behind human approval.

PythonChaos MeshKubernetesClaude API

Open Source

dcgm-exporter · NVIDIA

GPU fleet observability work addressing a driver-availability race condition and improving MIG GPU profile reporting.

Contribution ↗

volcano · CNCF

Root-caused and fixed a scheduler bug that left fractional vGPU requests stuck Pending during preemption despite enough freed capacity.

Contribution ↗

Technical Skills

Languages

Go · Python · TypeScript · Shell · SQL · GraphQL

Cloud & Infrastructure

Kubernetes · OpenShift · IBM PowerVS · GCP · AWS · Terraform · Ansible/AAP · Helm · Tekton · ServiceNow

Observability

Prometheus · Grafana · Instana · ELK Stack

AI/Agentic Systems

LangGraph · FastAPI · Qdrant · watsonx embeddings · Claude API

Security

eBPF · Cilium · Falco · Kyverno

Product Engineering

React · Node.js · NestJS · PostgreSQL · MongoDB · Neo4j · React Native

Leadership

Head of Web/App Development

IEEE SRM Student Branch

Led 100+ members and conducted 10+ workshops for 300+ people.

Technical Executive

Alexa Developers SRMIST

Ran AWS fundamentals workshops and built the team site backend.

Web Developer

GenY SRMIST

Built a file-uploader application and a MERN CRM.

Certifications