2023 to present
Intelligent code review
Agent-assisted review workflow integrated into CI environments to reduce turnaround without removing the human from the loop.
LLM / agentic / devops
ML / CV / LLM systems
I build systems that see, reason, and remember.
Somewhere between the model and the machine.
Akmal Khairi works on applied AI systems across computer vision, language tooling, and production engineering.
In practice, that means building systems that can see the right signals, reason under real constraints, and remember enough context to stay useful beyond a demo.
About
Practical AI, shaped by constraints.
Six years building production AI at the intersection of computer vision, language, and infrastructure. Not a researcher. Not purely an engineer. Something in between.
I care less about spectacle than usefulness: systems that hold up under real latency, real operators, and real constraints.
Akmal Khairi focuses on practical machine learning systems, product-facing AI workflows, and engineering decisions that make models more reliable in use.
For a fuller summary of approach, priorities, and the kinds of systems I tend to build, read the about page.
Selected work
Representative systems and workflows.
2022 to present
Semiconductor vision
Production computer vision for inspection lines with attention to latency, deployment constraints, and operator usability.
CV / C++ / edge
2023
Technical RAG system
Retrieval over dense engineering documentation for teams that needed answers rather than another search interface.
RAG / LLM / backend
2021 to present
AI platform
Internal tooling for managing, training, and monitoring computer vision models used by non-specialist teams.
full-stack / UX / ML ops
Contact
Contact
Reachable on request, not broadcast.
Independent portfolio
akmalkhairi.dev