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.