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AK

AKASH KUMAR NAHAK

Open to work1 years experience

AWS DevOps Engineer

Bhubaneshwar, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

AWS DevOps Engineer | AWS Certified AI Practitioner

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

37 skills
aws lambdas3dynamodbec2ecseksrdscloudwatchiamcloudformationsnssagemakeramazon bedrockalbauto scalingvpcaws step functionsterraformdockerkubernetesjenkinsgithub actionsgitlab ci/cdargocdpythonbashsqlyamlprometheusgrafanagitgithubgitlabagile/scrumsdlctcp/ipdns

Work Experience

Cloud Infrastructure & DevOps Engineer (Freelance)

Self-Employed

Oct 2023 - Jun 2024 Remote
  • Designed and deployed scalable, multi-AZ AWS infrastructure (EC2, ECS, EKS, S3, VPC, IAM, ALB, Auto Scaling) supporting production-grade containerised workloads — achieving zero-downtime deployments through rolling update strategies and automated rollback pipelines.
  • Built and maintained CI/CD pipelines using Jenkins and GitHub Actions for automated infrastructure and application deployments; integrated ArgoCD for Kubernetes GitOps workflows, reducing manual deployment effort across the SDLC.
  • Provisioned reusable Terraform modules and CloudFormation stacks with full state management and version-controlled delivery pipelines; enforced IAM least-privilege and security group hardening across all provisioned resources.
  • Deployed containerized workloads on ECS Fargate and EKS; managed container networking, storage, and security configurations aligned with cloud-native design patterns and operational excellence principles.
  • Configured CloudWatch dashboards and alarms; set up Prometheus and Grafana for full-stack infrastructure monitoring, automated alerting, and observability across distributed services.
  • Developed Python REST API handlers and Lambda functions in Agile sprint cycles; built Bash automation scripts to eliminate operational toil and deliver developer self-service tooling.

Customer Support Analyst

Optima

Jun 2024 - Jan 2025 Toronto, Canada
  • Resolved technical issues using structured root cause analysis in SLA-driven environment; collaborated cross-functionally with product and engineering stakeholders to document and improve operational workflows.

Customer Sales Specialist

Nordia

May 2023 - Sep 2023 Toronto, Canada
  • Technical troubleshooting and service resolution in high-volume, performance-driven environment.

Seller Support Associate

Amazon

Nov 2018 - Aug 2021 India
  • Applied structured problem-solving to resolve technical escalations; contributed to workflow efficiency improvements across distributed, high-volume operations.

CRM Analyst / Consultant

Brillio Technologies

Dec 2016 - Jul 2018 India
  • CRM system support and data analysis using SQL; developed process documentation and improvement recommendations.

Projects

Sentiment Detective — Serverless AI Review Analysis Pipeline

AWS LambdaAmazon BedrockS3DynamoDBSNSCloudWatchCloudFormationAWS Step FunctionsPythonIAM
  • Architected and deployed an end-to-end serverless AI pipeline on AWS that analyses customer reviews in under 10 seconds using Amazon Bedrock Mantle (Gemma 3 4B) — integrating Lambda, S3, DynamoDB, SNS, and CloudFormation IaC across a fully event-driven, REST API-first microservices architecture.
  • Engineered event-driven architecture using S3 Object Created triggers, Lambda (Python 3.12), Bedrock Converse API, and DynamoDB — applying domain-driven design principles and structured JSON output with scalable, schema-flexible NoSQL storage.
  • Implemented real-time alerting via Amazon SNS for negative sentiment detection (score < -0.6) and high- urgency reviews; configured CloudWatch dashboards and alarms for full pipeline observability and operational excellence.
  • Provisioned all 7 AWS resources via a single CloudFormation IaC template — fully reproducible and region-agnostic; designed least-privilege IAM roles with DynamoDB Global Secondary Index enabling O(1) filtered queries.

Infrastructure as Code Deployment Pipeline

AWSTerraformCloudFormationEKSECSJenkinsGitHub ActionsPython
  • Designed reusable Terraform modules and CloudFormation stacks provisioning EC2, ECS, EKS, VPC, IAM, and RDS; integrated into Jenkins CI/CD pipelines with rolling update strategies and automated rollback — supporting full SDLC from development through production deployment.
  • Implemented multi-AZ, scalable software deployments with IAM least-privilege hardening; wrote Python automation scripts following OOP and design pattern best practices for maintainability across sprint cycles.

Voice Vault — Serverless Audio Generation Application

AWS LambdaS3Amazon PollySageMakerCloudWatchPythonIAM
  • Developed a serverless, event-driven audio generation application using Lambda, S3, and Amazon Polly — architected as a scalable, loosely coupled microservices with IAM-secured triggers and zero idle infrastructure cost.
  • Wrote clean, modular Python following OOP principles, SOLID design patterns, and structured exception handling throughout; monitored execution latency and error rates via CloudWatch dashboards for operational excellence.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

AWS Certified AI Practitioner

AWS Certified AI Practitioner

About Details

Professional Bio

AWS Certified AI Practitioner with hands-on experience designing and deploying scalable, cloud-native software solutions on AWS. Experienced with CI/CD pipelines, Infrastructure as Code, and Agile sprint-based delivery.

Postgraduate Diploma in Project Management

Georgian ILAC, Toronto (2021 - 2022)

Bachelor of Engineering in Electrical & Electronics

Biju Patnaik University of Technology (2011 - 2015)

Languages: English, Hindi
Email: Locked