Suhail Shah
I build AI systems that turn complex documents and user intent into reliable outcomes, from retrieval and document intelligence to agents that plan, act, and verify.
Professional AI delivery across document intelligence, grounded retrieval, and agentic software built around evidence and human control.
AI Engineer
Created and deployed an AI coding-agent MVP, taking a requested change from an evidence-grounded plan to approved local edits and project verification. Delivered the agent orchestration, repository retrieval, tool controls, and evaluation workflows across the CLI and supporting services.
AI Engineer
Worked as the AI engineer within a wider enterprise approval and workflow platform. Focused on document processing, structured extraction, retrieval, and grounded case assistance, then integrated those AI services with the existing application. The wider team owned most of the workflow and approval functionality.
Senior Full Stack Engineer
Built an event security operations platform that unified event setup, shift planning, guard records, attendance verification, live operations monitoring, incident reporting, patrol tracking, audited overrides, and invoice discrepancy review. The platform gave operations and commercial teams a reliable source of truth for staffing coverage, verified hours, no-shows, exceptions, and supporting evidence, while integrating with a separate Android guard app through shared API contracts.
Full Stack Engineer
Built a single-tenant internal operations platform for a wholesale distribution business that had outgrown spreadsheets. The system replaced separate stock and order workbooks with one database-backed workflow covering products, customers, stock movements, sales orders, purchase orders, warehouse picking, stocktakes, dashboards, reports, audit history, and accountant-ready exports.
Software Architect
Architected and built a schema-driven form engine for a large enterprise client whose systems centered on multi-step form journeys. The engine let delivery squads declare journeys as JSON, render them through a shared React library, validate them again on the Node.js backend, version schemas centrally, and release new field capabilities through a private npm package workflow.
Full Stack Engineer
Worked across an investor e-services platform supporting shareholder submissions, IPO-related flows, internal back-office operations, and corporate website maintenance. Built and extended form modules, maintained PHP features, wrote MySQL queries and reports, and handled front-end work with HTML, CSS, JavaScript, and jQuery.
Personal AI systems work, built in public with readable source.
Public source, actively developed
A local learning platform where an LLM acts as the teacher and a typed Python backend owns memory, orchestration, and context engineering. The public source spans the applied AI stack: provider abstraction over two model transports, pgvector retrieval, a versioned eval framework with regression reporting, OpenTelemetry tracing, and an approval-gated agent layer.
Hey, I'm Suhail Shah. I'm an AI Engineer based in Kuala Lumpur, Malaysia. I build systems that retrieve relevant evidence, understand documents, take controlled actions, and make their results easy to verify.
At Etiqa, I focused on the AI layer inside an enterprise approval and workflow platform, building document intelligence and grounded case assistance. At fourpoket, I delivered a coding-agent MVP, with grounded plans, approved local execution, and verification receipts. My personal learning-system project explores agent orchestration, evaluation, retrieval, and LLM observability in public.
Useful AI takes more than a model call. It needs the right context, clear permissions, reliable tools, careful evaluation, and human judgment. I bring 7+ years of software engineering experience to that work, with my career focused on AI engineering.
Suhail is often associated with Canopus, one of the brightest stars in the night sky. Across history, Canopus has been used as a navigational star, a fixed point for finding direction across long distances.
I like that connection because it matches the kind of engineering I care about: making complex systems easier to navigate, turning ambiguity into direction, and building tools people can trust when the path is not obvious yet.
Building agents, retrieval, document intelligence, or production AI systems? Let's talk.
Open to AI Engineer roles · Kuala Lumpur, Malaysia · Remote