Bilal Younus

Working part-time as an AI & MLOps Engineer, focused on applied ML and LLM workflows for production use cases. - Research and benchmark different ML/LLM models to identify the best fit for each use case, then build and refine the selected models for real-world production use - Streamline end-to-end ML pipelines and prototype LLM workflows (LangChain / LangGraph) for document analysis - Participate in code reviews, integrating AI components into core product features

Owned full-stack delivery — from API to frontend to deployment — in Python/Flask across four industrial dashboard products: AIFLO, AILOG, AISET, and AIPRO. - Delivered features end-to-end across the backend (Flask APIs, database queries) and frontend (React components) for all four products - Introduced more detailed application logging, testing, and performance optimizations, improving reliability across the product suite - Designed and built the company's public-facing website end-to-end

Worked across the full stack building and maintaining live production platforms — React (Hooks, Context, Redux), Next.js (routing, SSR), TypeScript, Node.js, Express, and Django, with some Kotlin and Flutter for mobile-facing features. - Built and maintained five live platforms, including a booking & scheduling system, a ride-sharing platform, and a circular economy marketplace - Owned features end-to-end — from UI to API to deployment - Managed deployments and day-to-day maintenance on Linux servers