AI Education Leader · Engineer · Educator

Building the people and systems that make AI useful.

Leading AI talent development in Nepal, teaching the next generation, and engineering reliable tools across Python, Julia, Rust, and the cloud.

Fusemachines · Kathmandu, Nepal

Rojesh Man Shikhrakar
AI talent development
Courses · mentorship · systems

Director of AI Education & Talent Development

Adjunct Faculty, Kathmandu University

Engineer, researcher & open-source builder

01 Profile

Turning AI complexity into organizational capability.

Rojesh works where engineering, education, and institutional change meet.

From production machine-learning systems to curricula used across South Asia, his focus is practical: help people understand the fundamentals, build working systems, and apply AI with judgment.

Visit original portfolio
9+

Years across AI engineering and education

1,000+

AI professionals and learners trained

15+

Countries reached through AI programs

20+

AI and machine-learning courses designed

02 Experience

A decade bridging AI engineering and education.

Leadership built from the work itself: research, systems, classrooms, fellowships, and teams.

2017 — Present Current

Director of AI Education & Talent Development

Fusemachines

Leads AI fellowships, academic programs, internships, apprenticeships, and professional training across multiple countries.

2020 — Present Current

Adjunct Faculty, Computer Science & AI

Kathmandu University

Designs and teaches data science and data engineering courses for graduate and undergraduate AI programs.

2017 — 2019

Senior ML Research Engineer

Fusemachines

Built computer-vision pipelines for intelligent character recognition across multi-institution datasets.

2016 — 2020

Co-Founder & Technical Lead

Airlift Technologies

Led applied drone work spanning aerial surveying, precision agriculture, and a delivery-drone proof of concept.

03 Practice

What I build

Learning systems and technical foundations that move people from curiosity to capability.

02

Academic programs

Rigorous courses grounded in real engineering work.

Data science, data engineering, deep learning, computer vision, NLP, and responsible AI.

03

Enterprise capability

Workshops that change how teams work with AI.

Prompt architecture, AI productivity, deployment strategy, governance, and workflow redesign.

04

Reliable systems

Tools designed for clarity, performance, and reuse.

Python, Julia, Rust, JavaScript, Docker, AWS, GCP, and open-source learning infrastructure.

04 Teaching

Teaching philosophy

Concepts before tools. Problems before solutions. Produce, don't consume.

Every course moves from foundations to challenge-based practice and ends with something built: a model, an analysis, or a working system.

01Graduate

Data Acquisition Management System

Kathmandu University · M.Tech. in AI

02Undergraduate

Introduction to Data Science

Kathmandu University · B.Tech. in AI

03Executive

AI Ethics & Governance

Leadership, policy and institutional teams

04Advanced

Applied NLP & Large Language Models

ML engineers and data scientists

05Foundations

Deep Learning Foundations

Fusemachines AI Academy

06Enterprise

Enterprise AI Deployment

Corporate technology professionals

05 Research & engineering

From experimental systems to useful tools.

The technical thread runs from robotics and medical computer vision to open-source infrastructure for learning and scientific work.

Research paper · 2018

Malaria Detection Using Image Processing and Machine Learning

Computer vision and neural methods for assisting parasite detection in microscopic blood-cell imagery.

Read the paper ↗

Applied robotics · Airlift

Drone delivery, aerial surveying & precision agriculture

Technical leadership for drone applications, including a successfully completed delivery proof of concept.

Selected open source

Public tools, practical problems.

View GitHub profile ↗
06 Workshops & speaking

Command the room. Leave people with a working system.

Live, facilitated learning for leaders, educators, researchers, and technical teams—built around decisions and workflows participants can use immediately.

Explore workshops
01

Half-day intensive

Prompt Architecture & Workflow Adaptation

For teams and managers
02

Full-day workshop

Enterprise AI Deployment Strategy

For leaders and institutions
03

Two-day program

AI for Research & Academic Excellence

For universities and research teams
07 Writing

Notes for builders and learners.

Read on Medium ↗
Python · 2019

Python libraries you can't live without

Engineering · 2019

A virtual world for your project

Deep learning · 2019

One-line glossary for supervised learning

Let's make AI useful

Bring Rojesh into your next program, classroom, or conversation.