Saiyera Rehmina

- Sole backend engineer responsible for designing and developing the entire backend architecture, APIs, and data infrastructure. - Engineered custom integrations with third-party salon booking systems lacking SDKs or API docs, through reverse-engineering. - Implemented automated data synchronization pipelines to pull and refresh data from third-party booking systems on a daily schedule, ensuring up-to-date records across the platform. - Executed a full infrastructure migration from GCP to Microsoft Azure.

- Architected and developed AI-focused system modules integrating with multiple LLM providers. - Engineered vector database solutions for efficient content embedding and storage in RAG architectures. - Designed and built a multi-model LLM chatbot system capable of leveraging LLMs to generate contextually relevant responses from external knowledge sources. - Implemented production-grade RAG architecture for developing custom AI-driven chatbots with enhanced factual accuracy.

- Successfully integrated multiple third-party services including Meta's Graph API and Google Cloud APIs with company’s SaaS platform. - Designed efficient database schemas in PostgreSQL and ClickHouse for optimized data operations. - Developed a robust webhook ingestion middleware for processing both external and internal events. - Created a flexible CSAT module supporting various customer feedback questionnaire formats. - Collaborated with frontend engineers to build a customizable knowledge base system.

- Led independent research and development of a project under supervision. - Built two full-scale server-side applications handling inter-server API communication for a new product feature using Quarkus(Java) and Django(Python). - Created custom solutions to overcome limitations in open-source libraries.

- Developed web applications using Angular (TypeScript) and Quarkus (Java). - Conducted research on stock exchange protocols for new product development. - Performed extensive research and analysis of open-source projects to inform new product feature development.