Tt-Sky

TT-Sky is how I deliver production engineering at scale. Most of the work starts where production complexity begins limiting delivery. I step in, hands-on, when live systems outgrow their operational capacity and need to stabilize, reach steady state, and scale. Hands-on across the full lifecycle: → → → → My work focuses on backend systems and cloud infrastructure, with applied AI, DevOps, and data architecture as core parts of the system. I work under long-term contract — embedded in startups/teams — as a senior hands-on engineer/architect — taking ownership of complex areas — so delivery keeps moving. Typical engagements: • infrastructure and backend systems • Production engineering and (CI/CD, IaC, observability, reliability) • / in live systems (RAG, layers architecture, workflows, deterministic) • architecture, large-scale analytics, and data acquisition pipelines • Systems designed for from day one Available for rapid onboarding into existing codebases and stacks.(primary) • Backend - Python, PHP, Node.js • DevOps - CI/CD, Docker, AWS ECS, ECR • Infrastructure - AWS (EC2, Auto Scaling, Lambda, API Gateway, CloudFront, S3, SQS, DynamoDB, RDS, IAM, VPC, NAT), Linux, NGINX, Apache • LLM / AI - LLM APIs, RAG pipelines, workflows, deterministic logic, layers architecture, CUDA • Observability - CloudWatch, Grafana, OpenSearch (Kibana), X-Ray, QuickSight • Data - PostgreSQL, MySQL, DynamoDB, Redis, Neo4j, Milvus • Analytics & BI - Athena, Superset, QuickSight, Elastic Stack • Security - AWS WAF, AWS Inspector, SAST, DAST, SBOM tooling