Faisal Hasan
AI engineer building production LLM features, retrieval pipelines, and model integrations for client platforms.
- Department
- Engineering
- Location
- Dhaka, Bangladesh
- Focus
- Applied AI & Machine Learning
A model is only as useful as the data pipeline and evaluation harness around it.
About Faisal
Faisal leads AI engineering at Nexadev, taking machine learning work from prototype to production. His focus is the practical side of applied AI: retrieval-augmented generation over messy real-world data, evaluating model output quality, controlling inference cost, and integrating language models into existing product surfaces without degrading reliability. He works closely with product teams to keep AI features grounded in genuine user problems rather than novelty.
Track record
- Delivered production retrieval-augmented generation features for client platforms.
- Built evaluation harnesses that catch model quality regressions before release.
- Drives inference cost and latency optimisation across AI workloads.
Let’s scope your next build.
Tell us what you are trying to ship. We will come back within one working day with a call slot, an honest read on feasibility, and a rough range — before you commit to anything.