I'm Emir Risyad, a Computer Science student based in Berlin. I specialize in architecting distributed backends and high-concurrency systems, engineering robust event-driven infrastructure and scalable AI pipelines using Go, Python and TypeScript.
Highlighting key projects in AI and distributed systems.
Production-grade financial intelligence platform using multi-agent orchestration (Researcher, Analyst, Validator) via LangGraph to automate insight extraction from annual reports and 10-K filings. Features hallucination detection with token-level confidence heatmaps and groundedness gap analysis.
Full-stack medical records management system with a cross-platform Flutter mobile app and a secure Hono.js backend. Integrates Google Gemini AI to generate personalized medication schedules and patient-friendly explanations of diagnostic results.
Real-time monitoring system with event streaming via Apache Kafka. Tracks website availability and response times at custom intervals, with an automated alerting pipeline that triggers Discord webhooks immediately upon detecting downtime.
Transfer learning pipeline classifying 102 flower species with 95.6% accuracy. Benchmarked Custom CNN, ResNet50, VGG16, and MobileNetV2 architectures. Selected MobileNetV2 for the optimal accuracy-to-efficiency tradeoff.