01
Causality
I try to distinguish what happened from what caused it. Correlation, output, and sequence do not automatically establish mechanism.
Mechanical engineering · Software · Research
I am trying to understandhow systems behave when certainty is unavailable.
I am Niraj Chaurasiya, a mechanical engineering student, software builder, researcher, and technical communicator working across engineering, learning, information systems, and uncertainty.
01
Who I am
My work begins with questions that appear simple but become difficult when examined carefully.
How do we know learning occurred? What does a behavioral signal actually mean? When is understanding sufficient to build? What can an output tell us about the system that produced it?
I explore these questions through software platforms, engineering projects, research essays, public frameworks, videos, and physical prototypes.
The projects differ on the surface, but they repeatedly return to the same problem: reality is often only partially observable, while decisions still need to be made.
02
Work
Different media, connected questions
How the work takes form
01ENG
Engineering
Studying mechanical systems, dynamics, thermodynamics, fluids, controls, robotics, and physical system design.
02DEV
Software
Building platforms, interfaces, APIs, ranking systems, moderation tools, and dynamic information architectures.
03RES
Research
Investigating behavioral evidence, learning, latent variables, system assumptions, and decision-making under uncertainty.
04COM
Communication
Turning developing ideas into essays, talks, frameworks, diagrams, and public engineering explanations.
03
Thinking
Recurring intellectual themes
How I tend to think
02
Non-linearity
Small changes can produce disproportionate consequences, while visible outcomes may emerge from several interacting causes.
03
Latent variables
The property that matters most—learning, credibility, understanding, trust, or intent—is often not directly observable.
04
Evidence
I ask what a trace genuinely supports before allowing a system or argument to become confident.
05
System boundaries
The way a problem is framed determines what enters the analysis, what disappears, and what later conclusions become possible.
06
Upgraded questions
Progress sometimes comes not from answering the original question, but from discovering that the original question was incomplete.
04
Academic path
Current education
Bachelor of Science in Mechanical Engineering
Arkansas State University
My academic path provides the mathematical and physical foundation for studying mechanics, thermodynamics, fluid systems, controls, design, and robotics.
Expected graduation: 2028Mechanical systems and dynamics
Thermodynamics and fluid mechanics
Control systems and robotics
Engineering mathematics
CAD and parametric modeling
Programming and computational analysis
05
Journey
Developing direction
The path is becoming clearer through the work
Mechanical engineering in the United States
Began studying mechanical engineering at Arkansas State University while continuing to build software independently.
TechShortsApp became an epistemic system
The product moved beyond short-form video delivery toward questions about evidence, credibility, ranking, and latent truth.
Research, frameworks, and physical systems
Expanded the work through TechXEng, the robotic hand, GlobalBriz, environmental research, public writing, and the SIGNAL, EoL, and SUF frameworks.
Robotics, autonomous systems, and Nepal
Develop the technical, intellectual, financial, and institutional capacity to build meaningful engineering systems for Nepal.
06
Principles
Working principles
Ideas that currently guide the work
Building is a form of investigation
A prototype does not only produce an object. It exposes assumptions that remained invisible during abstract reasoning.
Uncertainty should remain visible
A polished interface or precise number should not make a weak inference appear stronger than it is.
Question Version 0
When later iterations stop improving, the original problem definition or assumption may be the real constraint.
Evidence should match the claim
An observation, reflection, experiment, conceptual essay, and peer-reviewed study support different levels of confidence.
Understanding serves action
The goal is not infinite analysis. It is responsible action with understanding proportionate to consequences and reversibility.
Not building feels dishonest
External recognition is uncertain, but ignoring questions and systems that genuinely matter would feel less honest than attempting them.
Long-term direction
The long-term direction is larger than a portfolio.
I want to work toward robotics, autonomous systems, reliable information systems, and engineering institutions capable of solving difficult problems.
The projects on this website are early systems, experiments, and intellectual foundations—not the final destination.
Long term, I want the freedom and capability to build meaningful systems for Nepal.
See the systems taking shape