Portfolio · AI Systems · Product Engineering

Building resilient software, practical AI tools, and mission-driven products.

I’m Tenzing Sherpa, a Princeton computer science student and former Air Force engineer. I work at the intersection of infrastructure, applied AI, and human-centered product design, with a particular interest in systems that need to stay useful when the environment is messy.

Open to research and engineering opportunities Princeton CS + Neuroscience Previously AWS, USAF

Selected profile

Engineer with product taste and field-tested constraints.

4 years

active-duty engineering

Built discipline, execution habits, and mission-first thinking in the Air Force.

3x

AWS internships

Worked across identity, marketplace, and infrastructure-oriented product teams.

AI x community

current focus

Exploring resilient AI systems and tools that serve underrepresented communities.

Tenzing in Air Force uniform
Princeton campus
Teaching a coding class
Tenzing in Pangboche

Why this portfolio matters

Work shaped by discipline, curiosity, and context.

This site should answer three questions fast: what I build, how I think, and why the work is worth trusting.

Military and infrastructure experience

Systems under pressure

I gravitate toward environments where reliability matters, constraints are real, and clear thinking beats buzzwords.

From idea to shipped interface

Product with substance

I like building products that are legible to users, grounded in outcomes, and technically defensible underneath.

Community, language, and education

Human-centered technical work

The projects that matter most to me usually connect engineering to culture, access, and long-term usefulness.

Selected work

Projects with a point of view.

Full experience

Writing

Technical notes and field reflections.

All posts

Approach

How I like to work.

Build for clarity

Interfaces should make complex systems easier to understand, not more impressive-looking.

Respect the operational layer

Good software accounts for deployment realities, coordination friction, and the cost of failure.

Make the work mean something

The strongest portfolio pieces are not just polished. They solve a real problem for a real group of people.

Now

Currently focused on AI resilience, neuroscience, and tools that travel well across contexts.

I’m especially interested in research collaborations, product engineering roles, and ambitious builds that need both strong systems judgment and real user empathy.

Best fit

Research, infrastructure-fluent product teams, and socially grounded technical work.

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