Python Backend Developer

Healthcare document assistant with a Kotlin Android app, FastAPI backend, and document-management features.

• -Users can upload and organize medical files, search records, manage medications, create follow-up tasks, set reminders, and share files.
• -The backend uses FastAPI, RabbitMQ background processing, Gemini-based document analysis, Cloudflare R2 object storage, PostgreSQL, Docker, Google Cloud, and GitLab Runner-based CI/CD.
• -Tavando is designed for document organization and explanation, not diagnosis or treatment.

Deep learning IDS with GAT models, baseline comparison, uncertainty, robustness, calibration, latency and throughput evaluation.

• -Developed a GAT-based intrusion detection system using the CIC-IDS2017 dataset.
• -Compared MLP baselines, GAT, Temporal GAT, MC-Dropout GAT and Deep Ensemble GAT.
• -Evaluated performance, calibration, robustness, domain shift, latency and throughput, and designed an approach for alert prioritization.

Backend services, machine-learning workflows and AWS infrastructure for a text-to-image beta.

• -Built backend services for a text-to-image application using FastAPI.
• -Integrated machine-learning model workflows.
• -Worked with AWS EC2, S3, CloudFront, PostgreSQL, Docker, and Nginx.