Profile

About Me

Full-stack/AI engineer building learning, knowledge, and edtech tools to help society thrive

I joined Amazon as a new grad in 2020 to deepen my software fundamentals. Over four years I delivered high-traffic retail experiences and ML infrastructure that power worldwide recommendations—learning how to design systems, write design docs, and execute with many stakeholders.

Along the way, I saw how fragmented tooling slows down teams who do high-stakes work. My focus now is to continually build software that reduces cognitive load, strengthens reflection, and helps humans operate with more insight. That’s where I create value.

I care deeply about empowering people to think for themselves and want to achieve that through edtech, knowledge management systems, and learning tools that make it easier to capture, organize, and revisit ideas. Technology should encourage judgment and not replace it, and I build with that core principle in mind.

I bring a developer-experience mindset to every project: clear design docs, linting and CI/CD to stay fast, dashboards/alerts, and handoffs non-technical partners can own. Prefer SF Bay Area roles with strong in-office collaboration.

Systems & ML

ML infra, APIs, data pipelines

Product Craft

Practical UX that communicates complexity

Ops

Runbooks, monitoring, resilient releases

Snapshot

What drives my work

Builder

I’m passionate about fitness, reading, and knowledge design. The products I build reflect that: Triance for strength/mobility/cardio tracking, Resonote for reading and reflection with NLP-powered knowledge graphs, and MathTutor for adaptive problem solving with structured LLM prompts.

These projects, along with my time at Amazon, cemented my belief that thoughtful software can meaningfully empower people and businesses.

If this resonates, let’s talk: kaush.ravi@gmail.com.

How I work

Build to elevate people

The best software reduces cognitive load and scales human expertise. I obsess over clarity, clean interfaces, and workflows that help people think and execute better.

Own delivery end-to-end

From design docs to on-call, I ship independently and keep stakeholders looped in with crisp updates, metrics, and tradeoffs.

Bias for learning

Each build tightens the feedback loop. I prefer shipping small, measuring impact, and iterating ruthlessly.

What I’m learning right now

Expanding playbooks

Faster delivery patterns for data-heavy dashboards, better prompting structures for adaptive tutoring, and ways to make analytics more actionable for small teams.

Collaboration

I work best with founders and teams who value clear goals, autonomy, and honest feedback loops. If that’s you, I’m excited to collaborate.