Product Engineering
Translate real business operations into explicit product models, workflows, states, rules, and reusable platform capabilities.
From complex platforms to scalable products, I design and engineer digital systems that solve real problems.
The work is organized around software systems, not isolated implementation tasks — from the operating model and architecture to interfaces, infrastructure, and production behavior.
Translate real business operations into explicit product models, workflows, states, rules, and reusable platform capabilities.
Control complexity through deliberate boundaries, modular architecture, domain-oriented design, event-driven workflows, and maintainable system structure.
Production backend systems, APIs, authentication, permissions, asynchronous processing, integrations, and shared application services.
Model durable state, transactional consistency, financial workflows, ledgers, wallets, settlements, reporting, and auditability.
Modern web interfaces that keep complex business behavior understandable across SSR, responsive applications, and API-driven workflows.
Treat deployment, observability, health, security, backups, runtime behavior, and operational visibility as part of architecture.
Reuse is valuable when it removes repeated complexity without creating unnecessary coupling.
Soroosh Morshedi is a Software Architect and Full-Stack Engineer working across the boundary between product engineering and software architecture.
Through Cybernith, the work is represented as products, enterprise platforms, reusable software capabilities, architectural patterns, and engineering knowledge developed through real operational systems.
✦A product should hide complexity from its users without hiding complexity from its architecture.
The stack is not the portfolio. Technologies are selected around business requirements, scale, reliability, maintainability, integrations, and production constraints.
Application services and domain-facing interfaces.
Product interfaces built around business state.
Durable state, performance, consistency, and search.
Patterns used to make business behavior explicit.
Runtime foundations and deployment environments.
The system after deployment is part of the architecture.
Software is an operational system, not merely a repository.
The portfolio is organized around operational software systems — products users interact with, platforms businesses operate, and engineering foundations that make them reliable and evolvable.
A vehicle-rental technology ecosystem connecting customer experiences, fleet operations, reservations, contracts, finance, CRM, and operational workflows through shared platform infrastructure.
A multi-tenant commerce and ERP environment connecting storefronts, orders, inventory, warehouse operations, fulfillment, and financial workflows through a shared architecture.
A medical knowledge platform designed around the creation, validation, management, and distribution of trusted scientific and clinical information.
Financial operations modeled as an integrated part of enterprise software rather than an isolated reporting layer.
Additional project evidence, technical work, and implemented systems.
CHALLENGEBuilding a next-generation affiliate-driven super-app handling high traffic, advanced search, and complex financial workflows.
SOLUTIONDesigned a modular, scalable architecture with Django REST Framework, PostgreSQL, Redis caching, and Dockerized CI/CD pipelines using GitHub Actions. Integrated intelligent affiliate tracking and marketplace modules for multi-vendor operations.
IMPACTImproved performance by 45%, reduced infrastructure costs by 30%, and increased user conversion rates by 12% while maintaining enterprise-grade reliability.
CHALLENGEDesigning a multi-tenant financial accounting software with real-time ledger sync, billing automation, and secure API integrations.
SOLUTIONBuilt hybrid backend with Django and Go microservices, Redis/NATS messaging, and PostgreSQL. Deployed on Dockerized infrastructure with automated CI/CD and cloud monitoring.
IMPACTEnabled thousands of active tenants, achieved <200 ms API latency, improved billing efficiency by 35%, and ensured zero reconciliation drift.
CHALLENGECreating a scalable backend to manage IoT units, sensors, and readings with strong modularity and lightweight performance.
SOLUTIONDeveloped RESTful FastAPI backend using PostgreSQL with repository pattern (no ORM), integrated Swagger/Redoc docs, unit testing, and Dockerized deployment.
IMPACTDelivered reliable sensor management APIs with <100 ms response time, enabling real-time monitoring and simple cloud deployment for IoT ecosystems.
Product architecture, enterprise systems, platform engineering, or technical coordination.