I build AI products people actually use.

ai · ml

• Built the company's first production LLM inference stack: a FastAPI and vLLM service handling concurrent token generation, serving several hundred concurrent requests at peak.

frontend

• Architected the real-time streaming interface: a React client consuming the inference API over SignalR, with token-by-token rendering, scroll anchoring, request cancellation, and recovery from partial or failed streams.

both

• Established the concurrency, backpressure, and error-recovery patterns now standard across every AI feature in the product.

ai · ml

• Led LLM integration across 10+ client products, delivering structured extraction, summarization, and conversational agents on shared internal patterns that cut AI integration time on new projects from weeks to days.

frontend

• Led frontend development for 10+ client products in Next.js and React, spanning data-heavy dashboards, multi-tenant platforms, and AI-driven tools.

both

• Owned deployment on AWS with Docker and GitHub Actions CI/CD, automating Jest and Cypress runs, type checks, linting, and preview deployments across a distributed team.

ai · ml

• Led R&D for hate-speech and misinformation detection in Amharic, Afaan Oromo, and Tigrinya, owning the full lifecycle from dataset construction through production deployment.

frontend

• Built and owned the complete React frontend for the internal ML analysis platform, giving researchers interactive visualization of model outputs over large, noisy datasets with D3.js and Recharts.

both

• Used engagement analytics and A/B testing to direct training data selection and public-facing component decisions, contributing to a 170% increase in traffic over six months.

frontend

• Launched a cross-platform Flutter app for campus navigation and real-time announcements, reaching 2,000+ active users in its first year.

both

• Conducted requirements research with 250 university students and translated the findings into the prioritized specification and information architecture for both products.