Senior Backend Engineer with 7+ years building and architecting production microservices for fintech and SaaS.
Focused on distributed systems, event-driven workflows, and AWS infrastructure shipping reliable, observable systems under strict SLAs and cost constraints.
Hands-on experience integrating LLM-powered and RAG pipelines into real-time, user-facing workflows.
Senior Backend Engineer with 7+ years building and architecting production microservices for fintech and SaaS.
Focused on distributed systems, event-driven workflows, and AWS infrastructure shipping reliable, observable systems under strict SLAs and cost constraints.
Hands-on experience integrating LLM-powered and RAG pipelines into real-time, user-facing workflows.
Built with WebSockets for real-time features, React for the frontend, MongoDB for data storage, and deployed on Azure cloud infrastructure.
Built core systems from the ground up, including banking integrations, cloud infrastructure, and engineering processes. Promoted to Tech Lead for the B2B platform, leading the integration of SPEI into internal systems.
We made students' lives easier connecting them to real career opportunities through Algolia, Elasticsearch to mention some integrations.
LLM-based debate chatbot using Natural Language Inference (NLI) models to evaluate arguments and determine when to concede or defend positions. Built with FastAPI and PostgreSQL.
LLM-powered assistant translating natural language into safe SQL analytics queries. Built with Retrieval-Augmented Generation (RAG) using LangChain to improve response accuracy and relevance.
Uses linear regression to calculate rental prices based on property features. Machine learning model for accurate price predictions.
