Senior Python / AI Full-Stack Engineer

Designed and owned Django and FastAPI microservices for investment accounts, client portfolios, analytics, reporting, and integrations with internal and external banking systems. Translated business requirements into REST APIs, data flows, webhooks, and event-driven integrations, owning delivery from design through release.

Built a real-time fraud detection system using XGBoost, Random Forest, and scikit-learn. Prepared transaction data and engineered features with Pandas and NumPy, served risk predictions through FastAPI and Django REST Framework APIs, and stored and streamed data through PostgreSQL, Kafka, and Redis. Implemented Celery-based background processing, Docker containerization, tests, production troubleshooting, code reviews, and release support.

Owned end-to-end full-stack features, including database models, Django, Django REST Framework, FastAPI services, and React and Next.js interfaces written in TypeScript. Designed and maintained REST APIs and integrations with external and third-party services.

Built an AI-powered application using OpenAI API, RAG, vector search, and LangChain prompt orchestration, delivered through FastAPI and React/Next.js. Developed asynchronous workflows with PostgreSQL, Redis, Celery, and RabbitMQ, participated in architecture and code reviews, supported junior developers, and collaborated with QA, designers, and product stakeholders in Agile teams.

Built and maintained Django, Django REST Framework, and Flask backends for production web applications and API-driven systems. Implemented REST APIs, authentication, business logic, database models, and third-party integrations.

Optimized PostgreSQL models and queries for performance and data consistency. Implemented asynchronous processing with Celery and Redis, investigated production issues using logs and stack traces, and wrote unit and integration tests. Began developing React, JavaScript, and TypeScript interfaces before transitioning into a full-stack engineering role.