Find the useful problem
Understand the workflow, data, and constraints before choosing a model.
I’m Bishal, an AI engineer and consultant in Kathmandu, Nepal. I help teams build useful AI systems, from retrieval and agents to practical training—with a clear path from the first question to production.

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Practical engineering, explicit trade-offs, and a definition of success you can actually measure.
Understand the workflow, data, and constraints before choosing a model.
Connect retrieval, tools, and human review to the way your team works.
Evaluate answers and failure modes before expanding the system’s responsibilities.
A workflow-first guide to selecting an AI pilot: define the task, check the data, and decide what a useful result would look like.
Read the draft ↗EDITORIAL DRAFT · 3 MIN READA practical test plan for Nepali, English, and mixed-language document questions, from text extraction to evidence-backed answers.
Read the draft ↗EDITORIAL DRAFT · 3 MIN READA practical preparation guide for corporate AI training in Nepal: choose a workflow, set data boundaries, and learn to review the output.
Read the draft ↗Workshops and technical sessions with teams and communities in Nepal. Connecting the technology to the people who use it.

Bharatpur Metropolitan City
AI literacy for public-sector professionals · 2026

IUCN · represented Danson Solutions
AI training for conservation professionals · 2026

ICT Foundation Nepal · BIS Program 2026
Practical AI tools for Nepali IT startups · 2026
I’m Head of AI at Danson Solutions in Kathmandu. My focus is helping organizations in Nepal make thoughtful use of AI through engineering, consulting, and practical team training.
Explore AI readiness audits and implementation, or see corporate AI workshops and technical sessions with teams and communities. My approach starts with the work, makes limitations explicit, and keeps people involved in the decisions.
More about my approach →