
Daksh Sawhney
@dakshsawhney
I'm building reliable cloud infrastructure, incident simulations, and automated Kubernetes platforms for SRE/DevOps teams.
What I'm looking for
I've built and operated AWS infrastructure for production-facing services, including serverless APIs, EKS clusters, Terraform-driven provisioning, monitoring, alerting, and on-call runbooks.
At IPage UMS, I reduced P95 API latency by 40% through Lambda tuning and cold-start reduction, and cut MTTR by 30% with CloudWatch dashboards, alarms, and incident runbooks. At SelfCode Academy, I teach DevOps/SRE and lead a vendor-agnostic multi-cloud track across AWS and Azure.
Through Incident Zero and a high-availability AWS EKS platform, I've recreated real failure modes, automated CI/CD, load-tested services to 50k concurrent users, and used logs and metrics to drive root-cause analysis.
Experience
Work history, roles, and key accomplishments
Multi-Cloud Computing Instructor
SelfCode Academy
Feb 2026 - Present (7 months)
Designed and taught 180+ hours of DevOps/SRE curriculum (Docker, Kubernetes, Terraform, CI/CD, incident response);
Built hands-on incident-simulation labs (broken pods, DNS failures, DB exhaustion) requiring learners to debug from
logs/metrics and write formal RCA reports– the same labs later became the basis for the Incident Zero project below.
AWS Cloud Intern
IPage UMS
Sep 2025 - Nov 2025 (2 months)
Built and deployed serverless APIs using AWS Lambda, API Gateway, and DynamoDB, reducing P95 latency by 40% through memory tuning and cold-start reduction. Enforced least-privilege IAM and created CloudWatch dashboards and runbooks, cutting MTTR by 30%.
Education
Degrees, certifications, and relevant coursework
Harcourt Butler Technical University
Bachelor of Technology, Computer Science and Engineering
2023 -
Grade: 8.2/10
Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.2/10. Final-year student available for full-time SRE/DevOps roles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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