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Emersoft Cloud
Software Engineer
June 27, 2026 – Present
aws-cloud-engineer-devops-playbook
March 13, 2026 – Present
Advanced reference repository for **AWS Infrastructure Engineering, DevOps automation, CI/CD, Kubernetes, Terraform, Observability and Enterprise Cloud Platforms.
View Projectgenai-agents-roadmap-2026
December 31, 2025 – Present
From Foundations to Production-Grade AI Agents & GenAI Platforms (AWS)
View Projectaws-ai-mlops-llmops-platform-lab
December 15, 2025 – December 15, 2025
Production-Grade Generative AI, RAG & Agents on AWS
View Projectai-agent-systems-advanced-benchmarking
June 6, 2025 – June 6, 2025
Modular AI agent system with LLMs, tools, and benchmark optimization
View Projectai-agents-learning-lab
June 4, 2025 – June 6, 2025
AI agents training lab – from supervision to autonomy with LangChain, OpenAI and cloud tools
View Projectaws-cloud-computing-models-lab
June 3, 2025 – June 3, 2025
aws-cloud-computing-models-lab — GitHub repository
View Projectcloud-networking-lab-aws-azure
June 2, 2025 – June 2, 2025
cloud-networking-lab-aws-azure — GitHub repository
View ProjectMaster-Prompt-Engineering-AI-Agents
May 21, 2025 – May 23, 2025
Master-Prompt-Engineering-AI-Agents — GitHub repository
View Projectnetwork-infrastructure-lab
April 9, 2025 – April 10, 2025
Complete network infrastructure lab for study, simulation and portfolio.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards self-directed learning and exploration of cutting-edge technologies, particularly in AI/ML and cloud infrastructure. This indicates a proactive and curious mindset. However, the lack of diverse project types (all personal, heavily focused on labs/playbooks) and limited professional experience (current role started recently with no details) makes it difficult to fully assess cultural fit beyond technical curiosity. The target role is 'Software Engineer', and while the projects are technically deep, they lean heavily towards MLOps/DevOps/Infrastructure rather than traditional software engineering application development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.