Tech Stack
Backend · Automation · AI
Full-cycle backend engineer — from API architecture to AI integration and production deployment. I turn complex business logic into reliable, high-performance software.
About
I'm Dmitry Karra — a backend-focused engineer who builds systems that actually work in production, not just in demos. My sweet spot is the intersection of robust architecture, smart automation, and applied AI — whether that means a custom microservice, a high-load API, or an ML pipeline integrated into your CRM.
Whether it's designing an API that handles 50k requests per second, building custom WordPress solutions with tailored plugins and Gutenberg blocks, automating a workflow that saves your team 100+ hours a month, or integrating LLMs into your product — I focus on outcomes, not buzzwords.
Based in Europe · Available worldwide
Tech Stack
How I Work
We discuss your goals, constraints, and existing infrastructure. I ask hard questions early.
I design the system before writing code. You get diagrams, tech choices rationale, and a timeline.
Iterative development with weekly demos. Clean code, tests, documentation from day one.
Smooth deployment, monitoring setup, and ongoing support. I don't disappear after delivery.
Portfolio
Automated document classification and data extraction for a legal tech startup, reducing manual processing time by 87%.
Read case study →Designed and built a scalable backend for a marketplace handling 50k+ daily transactions with sub-100ms response times.
Read case study →End-to-end automation of reporting, invoicing, and client communication for a digital agency — saving 120+ hours per month.
Read case study →High-performance analytics backend processing 2M+ events per hour with real-time streaming to a custom dashboard.
Read case study →Built a machine learning pipeline that predicts lead quality with 91% accuracy, integrated directly into the client's CRM.
Read case study →Full-stack SaaS platform with multi-tenancy, role-based access, billing integration, and white-label support.
Read case study →Built a custom multi-vendor marketplace plugin for WooCommerce with vendor dashboards, automated payouts, and a product approval workflow — replacing 4 separate plugins.
Read case study →Transformed a basic WordPress corporate site into an intelligent client portal with AI-powered search, custom Gutenberg blocks, and a members-only knowledge base.
Read case study →Built a custom WordPress plugin that automatically identifies qualifying domestic seed orders, purchases USPS shipping labels via WooCommerce Shipping's internal API, and sends the distributor a complete fulfillment email with the label PDF attached — reducing a 10-minute manual process to zero touch.
Blog
If your WooCommerce site runs on five plugins duct-taped together, you're paying more than you think. License fees are just the beginning.
Common bottlenecks in REST and GraphQL APIs — from N+1 queries to missing indexes — and practical fixes that can cut response times by 10x.
Not every process needs Airflow. A practical framework for choosing the right automation tool based on complexity, frequency, and failure tolerance.
Lessons from deploying GPT-4 and open-source models in real products. Prompt engineering, guardrails, cost control, and when not to use AI.
PostgreSQL over the latest NoSQL flavor. Cron over Kubernetes CronJobs. Sometimes the best architectural decision is the least exciting one.
Off-the-shelf plugins solve 80% of problems. For the other 20%, a custom plugin is faster, cheaper, and more reliable than duct-taping five plugins together.
Python
Node.js
Go
PHP
FastAPI
NestJS
Django
Next.js
React
GraphQL
PostgreSQL
Redis
Docker
Kubernetes
AWS
Terraform
Nginx
Git
Linux
GitHub
WordPress
WooCommerce
Selenium
Airflow
scikit-learn
GPT-4
