Mid-level Backend Engineer

I serve as the sole backend owner for a mobile-first education platform and mentor one junior developer. I build modular Django and Django REST Framework services supporting accounts, learning paths, meetings, quizzes, wallets, and Skyroom video integration.

I implemented RBAC, audit logging, OpenAPI documentation, OTP/JWT authentication, and Celery-backed domain services using PostgreSQL and pytest. I also operate Docker Compose infrastructure for staging and production, including PostgreSQL, Redis, Gunicorn, Celery, Nginx, and MinIO.

I designed AI functionality including multi-step smart reports for student progress and meeting supervision, as well as a RAG chatbot using LangChain, LangGraph, and OpenRouter for course FAQs and learner support.

I developed features for the Aladdin AI assistant using Django REST and Celery workers for mail, task, and meeting management.

I integrated LLM agents through the Model Context Protocol (MCP) to enable tool-driven user automation workflows.

I delivered a multi-tenant Django REST API covering authentication, billing, projects and orders, ticketing, calendar features, notifications, and file services. I implemented real-time ticketing capabilities using Django Channels and WebSockets.

I automated invoice expiration with Celery and Redis, documented partner-facing endpoints with drf-spectacular and OpenAPI, and integrated MinIO S3 storage with Knox token authentication.

I improved application performance by removing N+1 queries and tuning SQL access patterns on MariaDB and MySQL. I also deployed Docker-based staging and production environments with structured logging.

I worked on an edge object-detection prototype deployed on Raspberry Pi 4.

The work involved applying AI software engineering practices to a resource-constrained edge computing environment.

I built Django REST APIs for core product features and collaborated with front-end engineers to deliver integrated product functionality.

I owned Linux server operations, SQL schema design, query tuning, and database backup routines.

Thesis: EEG-Based Emotion Recognition Using Mamba models (EEGMamba).