akhil.

Akhil
Vemuri.

I study computer science at Purdue and build software across product engineering, AI, and robotics.

Explore my work View résumé
Follow the work

01 / Selected work

Things I’ve built.

The same instincts run through each build: understand the moving parts, connect them clearly, and make the result useful.

PropLane property operations dashboard from its public marketing site
Product · 2026 – Present

PropLane

Property operations, connected from the first application to everyday resident support.

Next.jsTypeScriptPostgreSQLStripe Connect
Product · Apr 2026

Veridex

Portable identity and reputation for people and AI agents.

Next.jsExpress.jsSupabaseWorld ID
AI & Data · 2026

Fitness Hub

One view across training, recovery, sleep and nutrition.

PythonFastAPISQLAlchemyPostgreSQL

Explore the collection ↗

02 / About

A builder
at Purdue.

I study computer science at Purdue University, graduating in May 2028. I enjoy turning ambiguous ideas into reliable systems and interfaces people can actually use.

My work spans product engineering, applied machine learning, robotics, and decentralized identity.

01—03

Products, data, and systems thinking are different views of the same problem: how people move through complexity.

03 / Experience

Where I’ve worked.

Four roles. One growing practice.

Skip to toolkit ↓
Illustrative shared workspace with laptops and notebooks

Experience, in motion.

2021 — 2026

Aug 2021 – Apr 2024

FIRST Tech Challenge · Team 11099

Software Lead

6th worldwide 15-person robotics team

Led software and match strategy through a global competitive season.

  • Led software development and match strategy for a 15-person team.
  • The team ranked sixth worldwide in FIRST Tech Challenge competition.

May 2025 – Mar 2026

Intual AI

Software Engineer

30+ / 75+ components / instrumented events

Built the interface and APIs behind a multi-tenant workflow product.

  • Developed Go REST APIs and a React/Next.js workflow canvas with more than 30 reusable components.
  • Added over 75 product events, with Docker-based deployment and multi-tenant data workflows.

Jan – May 2026

The Data Mine · Caterpillar

Undergraduate Data Science Researcher

18% → 11% forecast MAPE

Turned a large industrial time series into a measurable forecasting improvement.

  • Built a PyTorch forecasting pipeline over more than 5 million records.
  • Reduced mean absolute percentage error from an 18% baseline to 11% through data preparation, modeling, and evaluation.

Jul – Aug 2026

Rakuten

AI Engineering Intern

2 × 3 weeks product prototypes delivered

Moved from ambiguous product brief to working prototypes across identity and commerce flows.

  • Built two end-to-end prototypes in roughly three weeks each, including consent-aware identity resolution with TypeScript and Python APIs.
  • Evaluated an in-house identity approach against three vendors and collaborated with iOS, backend, and QA teams on early-access flows.

04 / Toolkit

Tools follow the problem.

Languages

Python · TypeScript · JavaScript · Go · Java · C++

Product engineering

React · Next.js · Node.js · Flask · Docker · Capacitor

Data & AI

PyTorch · TensorFlow · Anthropic SDK · Langfuse · PostgreSQL · Supabase

Infrastructure

AWS Fargate · Vercel · Stripe Connect · Twilio · PostHog · World ID