Dustin Nowosad

Built an event-driven backend using Django and Docker Compose to orchestrate isolated Chromium browser workers for web automation pipelines. Developed dynamic horizontal scaling for container workers based on active Redis queue depth to handle spike loads efficiently.

Reduced API latency on high-traffic member flows for a 10M+ user platform by profiling GraphQL execution paths and database query structures. Engineered distributed microservices on an Apollo GraphQL federation stack using FastAPI subgraphs, managing asynchronous processing via RabbitMQ event workers and Kubernetes jobs.

Built the primary web application and platform architecture for an Amazon seller optimization tool from the ground up. Re-engineered legacy n8n visual automation workflows directly into standalone Python services, optimizing pipeline reliability for downloading, analyzing, and uploading product catalogs via Amazon APIs.

Co-developed a multi-tenant B2B Chat AI agent system tailored for the hospitality industry, deploying a FastAPI backend coupled with a Nuxt.js frontend interface. Integrated GPT-4o into core conversation loops using OpenAI's Assistants API, configuring organization-level security governance policies, and building Custom GPT dialogue management flows.

Wrote programmatic cloud infrastructure configurations using AWS CDK to continuously deploy decoupled container architectures across EC2, RDS instances, and S3 buckets. Designed a high-throughput messaging gateway microservice from scratch via Node.js, mapping asynchronous webhook callbacks directly into the CM.com WhatsApp API framework.

Engineered a native mobile application using Flutter and Django REST Framework designed to bridge therapists with patient journaling workflows. Built backend context layers wrapping the OpenAI API to securely analyze emotional logging patterns, execute prompt parsing, and isolate psychological data profiles with strict privacy compliance.

Architected a production geo-aware PWA linking hyper-local vendors and restaurants directly to neighborhood consumer networks. Engineered data pipelines mapping localized geofencing criteria using Django with PostGIS components.

Led the technical structural transition of an unpatterned investment monolith, introducing unified Repository and Manager logic abstractions using Flask and SQLAlchemy to eliminate regression risks. Architected a greenfield web tool to support active portfolio managers calculating, visualizing, and confirming fast-moving asset allocation choices.

Built the monolithic Django API backend and React Native application for a landlord-tenant real estate communication platform. Engineered core messaging schemas, storage flows, and notification triggers enabling secure, low-overhead property tenant workflows from scratch.

Delivered full-stack components for an enterprise predictive data analysis platform, integrating a Django REST API with an Angular analytical workstation. Wrote optimized data handling pipelines utilizing pandas and PyMongo to parse, index, and transform multi-tenant unstructured datasets.

Configured relational production database engines and engineered deep SQL stored procedures to satisfy high-throughput manufacturing execution requirements. Refactored legacy scripting infrastructure from raw C/C++ variants into modular Python apps, automating core project setup configurations.

State-Certified Engineer (Bachelor Professional in Technology) from BBS ME – Otto-Brenner-Schule, Trade College for Electrical Engineering.