ARBOL / KNOWLEDGE SYSTEMS
Notes→Structure→Context
answer → source → evidence
Open source01
Arbol
Making a folder of notes useful to an AI agent. Structured metadata, lexical search, and a link graph produce context with traceable sources.
Rishabh Shah · Engineering portfolio
Data engineer.
Customer-focused.
I build data systems and help customers put them to work. My experience spans Two Circles, Falkonry, and Op2ra. I’m currently pursuing my M.S. in Business Analytics at Santa Clara University.
Experience & educationTwo CirclesFalkonryPurdue UniversitySanta Clara University
01 / Professional experienceExperience that
Experience that
translates to impact.
My work connects engineering with the people who depend on it: analysts, customers, and product teams.
View complete résumé ↗Two Circles
Partnership Analyst · Strategy & AnalyticsData pipelines, reporting automation, and full-stack analytics applications supporting sports partnership decisions.
Falkonry
Customer Success Manager & Application EngineerCustomer-facing industrial analytics, anomaly detection workflows, and Python/API automation across manufacturing and energy use cases.
Op2ra
Founder & BuilderOwning the path from raw financial information to recommendations and a usable product: ingestion, backend services, and the interface.
02 / Selected projects
Engineering in practice.
A few projects that show how I think about data quality, engineering tradeoffs, and the people using the result.
OP2RA / FINANCIAL CLARITY
B
Illustrative report card · not customer dataLive product · evolving02
Op2ra
A clearer view of everyday spending. Bringing financial records, purchase decisions, and card rewards into a product people can understand.
HUNGUR / FOOD & COMMUNITY
#garlic#tomato#basil#vegetarian
What’s already in your kitchen?
Live prototype03
Hungur
Recipe discovery that starts with ingredients. A social cooking project exploring sharing, community challenges, and mobile experiences.
03 / In the lab
Curiosity has a workbench.
Research, prototypes, and early ideas. Different stages, one habit: asking a better question.
Nullius
What makes an evaluation trustworthy? Exploring test-set quality, holdouts, and the gap between an impressive number and a reliable system.
Read the research note ↗DJAI
Music meets constraints: harmonic fit, phrasing, energy, and the logic of a good DJ set. The knowledge base comes before the mixing engine.
Explore the foundations ↗MarketHacker
A playground for market-data ingestion, feature engineering, and model comparison. A way to explore uncertainty through code.
Explore the code ↗04 / Writing
All writing ↗Notes from the workbench.
A better benchmark starts with better questions
A short note on what an evaluation measures—and what it can miss.
Read the note ↗A DJ set is more than a playlist
The design questions behind DJAI: compatibility, energy, and the shape of a set.
Read the note ↗Start with the ingredients
What cooking can teach a product about its starting point.
Read the note ↗05 / Beyond the stackTechnical by training.
Technical by training.
Curious by default.
I’m interested in the places where systems meet everyday life: how people use money, how teams make decisions, how music flows, and what’s for dinner.
That curiosity shows up in my work, from sports analytics and industrial AI to personal projects in cooking and music.
Basketball & sports dataMusic & DJ systemsCooking & communityFinancial tools
Santa Clara UniversityM.S. Business Analytics · Currently enrolled · Expected March 2027
Purdue UniversityB.S. Computer Science & B.S. Data Science · 2023
A toolkit that crosses boundariesPython, SQL, AWS, React, FastAPI, TypeScript, data pipelines, retrieval, and evaluation.
06 / What’s nextLet’s talk about
Let’s talk about
your engineering team.
Open to Data Engineer, Solutions Engineer, Customer Success, and Forward-Deployed Engineer roles.