Looking for a job

Keshav Kumar

@keshavkumar4

Message

I secure cloud environments and build reliable AWS serverless applications.

India

Message

What I'm looking for

I'm looking to build secure cloud and serverless systems, contribute to DevSecOps and cloud security work, and continue growing through hands-on AWS, multi-cloud, and AI-driven projects.

I'm securing production cloud environments at eSec Forte Technologies for one of India’s largest telecom operators across AWS, Azure, GCP, OCI, and OpenShift. I use Wiz for CSPM, CWPP, vulnerability management, cloud security assessments, threat detection, runtime security, and incident response.

Previously at F13 Technologies, I migrated an e-commerce platform to AWS with 99.9% uptime and built a serverless face-recognition attendance system with 99% accuracy. I also developed a multi-vendor inventory system that improved stock-tracking efficiency by 75%.

Alongside my engineering studies, I build AI-driven and serverless systems such as YOC.ai, an interview coach with real-time multimodal feedback. I also mentor students in AWS and cloud engineering and lead cloud security and developer-community initiatives.

Experience

Work history, roles, and key accomplishments

Current

Cloud Security Trainee

Current

eSec Forte Technologies

Mar 2026 - Present (6 months)

Securing one of India's largest telecom operators across AWS, Azure, GCP, OCI & OpenShift through CSPM, CWPP, vulnerability management & cloud security assessments using Wiz. Performing cloud threat detection, runtime security & incident response, investigating attack paths, workload vulnerabilities, and security incidents across production environments.

AWS Azure GCP OCI OpenShift CSPM CWPP Vulnerability Management Threat Detection Runtime Security Incident Response Wiz IAM Network Security Container Security CI CD Security

AWS Engineer Intern

F13 Technologies

Jun 2025 - Sep 2025 (3 months)

Migrated an e-commerce platform to AWS using Lightsail, RDS, S3, and CloudFront, achieving 99.9% uptime. Built a serverless face recognition attendance system using AWS Rekognition, Lambda, S3, and API Gateway with 99% accuracy.