Software Engineer at Fisor Analytics

Developed an AI-powered business intelligence platform enabling SMEs without in-house data teams to access predictive analytics, macroeconomic forecasting, and automated insights. Built an orchestration layer in Go to standardize and automate data workflows across services, delivering consistent insights. Implemented a data retrieval engine on Apache Spark with MLlib algorithms (regression, clustering) and custom anomaly detection to produce analytics-ready datasets. Implemented a Redis in-memory layer to support stateful LLM workflows, improving context recall and reducing response latency by ~25% in prototype tests. Designed a multi-tenant data lakehouse on Apache Iceberg with PostgreSQL and pgvector for analytics and semantic queries. Selected into Microsoft, Cloudflare, Databricks, and Lassonde BEST startup programs, securing cloud credits and mentorship.

Research Assistant at York University

Documented inclusive design features from academic research and implemented them in an accessibility-focused app supporting 5000+ students with disabilities. Built a React component library aligned with accessibility standards to improve usability. Developed a TypeScript tool that aggregates web mentions, news, and resources into a central board, helping students with disabilities access updates faster.

Software Developer Intern at Zyfera

Built an AI-powered personal finance tool with Svelte, TypeScript, and PostgreSQL, providing simplified calculations and personalized recommendations with user-friendly explanations. Implemented TypeScript pre-/post-processing functions around API calls, lowering costs by 10–30% and increasing system reliability. Implemented CI/CD pipelines with GitHub Actions, automating deployments across development and production environments. Implemented Edge Functions with TypeScript and PostgreSQL to optimize backend performance, reducing backend response time by ~15%.