Budget: 125000 UAH Deadline: 35 days
Hello. I have reviewed the project description and materials — the task is clear from both a technical and product perspective. I have practical experience in developing backend for AI-oriented SaaS solutions with asynchronous data processing, integrations with external AI / LLM APIs, rate limit control, queues, and fault tolerance.
I have worked with data enrichment and validation systems, where key aspects include parallel queries, stability of AI pipelines, and real-time processing of large tabular arrays. I have a good understanding of the architecture of hydration modules, validation logic, and lookalike search based on AI scoring or vector comparisons. I have implemented backend in Python (FastAPI), PostgreSQL, and Redis with clear load control and scaling.
I see the integration with parallel.ai as a separate service layer with queue management, retry logic, backoff mechanisms, and execution monitoring. I am ready to quickly engage in the project, work with the provided specifications, UI, and video overview, and bring the MVP to a stable working state.
I am ready to discuss the architecture, propose optimizations, and start working after agreeing on the details.