Artak P.

I help teams build reliable backend and data systems on AWS — from real-time pipelines to production-ready ML workflows. If your pipelines are slow, brittle, or hard to maintain — I design and build scalable, event-driven systems with proper engineering practices (CI/CD, infrastructure as code, observability). With 14+ years in backend development and 7+ years in Python, I specialize in building production-grade data and ML platforms that are reliable, maintainable, and built to scale. Recent work includes: • Building high-throughput MQTT/data ingestion pipelines with batching and backpressure handling • Designing event-driven systems for real-time and streaming data processing • Deploying ML pipelines using MLflow + CI/CD + Terraform on AWS • Optimizing database performance and large-scale data workflows Core expertise: • AWS (ECS, Lambda, S3, RDS, CloudWatch) • Backend & data systems (APIs, pipelines, streaming) • Python (FastAPI, Flask, Pandas, Boto3) • Docker & Terraform • Distributed systems & event-driven architecture I focus on clean architecture, reliability, and systems that continue to work under real production load — not just in demos. If you need someone who can design, build, and own the full lifecycle of your backend/data platform, feel free to reach out.