Professional Experience

IBM

• Shipped production RAG to 100+ enterprise users: Elasticsearch multi-stage retrieval, cross-encoder re-ranking, and offline evaluation of chunking/indexing before go-live; event-driven ingestion and containerised FastAPI services kept knowledge bases current and reliable in production.
• Gave client teams day-to-day access to proprietary documentation via AI assistants and IDE integrations (MCP servers), reducing friction for engineers querying complex content.
• Cut developer time by 30% with multi-agent GenAI workflows for code generation, self-correction, and unit testing—shipped from prototype to production on cloud infrastructure.
• Trained 100+ customer engineers as technical advisor, turning GenAI designs into patterns teams could adopt in production.
• Led autonomous-agent POC for senior leadership and customer stakeholders, securing buy-in for next-step adoption.

UAX University

• Associate Professor of Machine Learning I & II in the AI and Computation degree (20+ students): own and deliver both courses end-to-end—syllabus, lectures, labs, and assessment—covering supervised and unsupervised learning, model evaluation, and applied ML workflows.

Huawei

• Closed hybrid-cloud engagements by translating stakeholder requirements into approved architectures with clear cost and operational trade-offs.
• Migrated startup AI workloads to public cloud, clearing infrastructure bottlenecks so the team could run inference and serve assets reliably from a single footprint.
• Productionised ML inference for a software company under bursty load—autoscaling and queueing so jobs completed reliably during traffic spikes.
• Delivered backup solution for a telecommunications consulting firm: defined recovery objectives and paired technical design with economic proposals for stakeholder approval.