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Vidhi Patel Open to Full-Stack · SDE · AI Engineering roles

building things, breaking bugs, board games

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About me

I'm a full-stack engineer pursuing my M.S. in Computer Software Engineering at Arizona State University. I currently work at ASU's AI Cloud Innovation Center building serverless AI applications for public-sector clients on AWS - from requirements to deployed product.

I'm comfortable across the stack - backend APIs, database performance, cloud infrastructure and frontend. AI and cloud come up a lot in what I build, but the goal is always something that works and doesn't slow people down.

Experience

ASU AI Cloud Innovation Center
Full-Stack AI DeveloperCurrent
AI Cloud Innovation Center, ASU - Powered by AWS
May 2026 - Present · Tempe, AZ

Build and deploy production AI applications on AWS - working directly with AWS Solutions Architects to take projects from problem definition to deployed product for public-sector clients.

ASU Global Launch
Email & Web Design Assistant
Global Launch, ASU
Dec 2025 - May 2026 · Phoenix, AZ

Took a Drupal site's WCAG accessibility score from 48% to 90% by auditing and fixing issues with Siteimprove and launched Salesforce/Pardot email campaigns with GA4 engagement tracking behind them.

Grownited
Software Engineer Intern
Grownited Private Limited
Feb 2024 - Apr 2025 · Ahmedabad, India

Built a real-time analytics platform in React, Node.js and Express serving 15K+ concurrent users at 99.7% uptime. Designed 12 REST APIs and optimized MongoDB query pipelines to cut response latency by 66%.

Grownited
Data Engineer Intern
Grownited Private Limited
Jul 2023 - Jan 2024 · Ahmedabad, India

Wrote automated ETL pipelines in Python (Pandas, SQLAlchemy) that processed 250K+ patient records a month, then built Power BI dashboards on the cleaned data that cut manual reporting time by 72%.

Things I've built

localhost
ByteSheet
Editor
Cheatsheets
History
Generate a cheatsheet
Type your notes - AI formats them live
Parallel AI · 01
Parallel AI · 02
Parallel AI · 03
Live preview · formatted cheatsheet

ByteSheet

In Progress

An AI-powered cheatsheet generator that fans work across parallel AI calls for instant output, so you get a clean, formatted cheatsheet without waiting on a single slow request.

LitGraph

Completed

An AI workspace that answers cited questions across 20+ papers and auto-builds a knowledge graph linking them. A RAG pipeline on pgvector and OpenAI embeddings with 92% retrieval precision on a 50-query eval set.

SyncSpace

Completed

A full-stack project-management platform with Kanban drag-and-drop, workload heatmaps and burndown charts. Backed by 20+ REST APIs with role-based auth, built on Next.js, PostgreSQL and Prisma - held to 85% test coverage.

LifeOps Copilot

Completed

A student-life dashboard that brings inbox, calendar, budget and tasks into one place with AI-generated insights via Vertex AI (Gemini) and Gmail OAuth; built on Next.js, deployed on Google Cloud Run.

SER502-JVMLang-Team5 - swipl
05_explain_watch.jvm
int x = 10;
int y = 5;
watch(x);
watch(y);
explain(x > y);
explain(x > y && true);
PS> swipl -q -s src/main.pl -- data/05_explain_watch.jvm
- x > y => 10 > 5 => true
FINAL RESULT => true
EXPLAIN:
- x => 10
- y => 5
- x > y => 10 > 5 => true
- x > y and true => true and true => true
FINAL RESULT => true

JVMLang Compiler

Completed

A custom imperative programming language with a full compiler and runtime pipeline built in Prolog using Definite Clause Grammars - lexing, parsing, AST generation and interpretation. Its standout idea is being "explainable": custom watch and explain statements let you observe variables and trace how each expression is evaluated, step by step.

Where I studied

ASU
M.S., Computer Software Engineering
2025 - 2027 (expected) · GPA 3.83 / 4.00 · Tempe, AZ
Silver Oak University
B.Tech., Computer Engineering
2021 - 2025 · CPI 9.19 / 10.00 · Ahmedabad, India
Coursework: Data Processing at Scale · AI for Software Engineers · Software Verification, Validation & Testing · Software Security · Cloud Computing

What I build with

Languages
Python
TypeScript
JavaScript
SQL
C++
Frontend
React
Next.js
Angular
Redux
Tailwind CSS
Figma
Backend
Node.js
Express
FastAPI
Django
Flask
Cloud & DevOps
AWS
AWS Bedrock
Lambda
S3
CDK
Docker
Kubernetes
GitHub Actions
Data
PostgreSQL
MongoDB
MySQL
Neo4j
ChromaDB
Pandas
AI/LLM Tools
Cursor
Claude
ChatGPT
OpenAI APIs
AWS Bedrock
Vector Databases
RAG
Agentic Workflows

Publications & certifications

PUBLICATION
Published
FoodPriceNet: An Ontological Approach to Semantic Modeling of Food Price Relationships
Proc. Semantic Data Integration Workshop (SDI '26), IEEE Int. Conf. Semantic Computing (ICSC) · 2026
View on IEEE

Outside the IDE

♟️Chess

Think ahead, sacrifice wisely and checkmate.

🏘️Catan

Trade smart, build bigger and become the ruler of the island.

💰Monopoly

Build your empire one property at a time.

🚂Ticket to Ride

Connect destinations and create the ultimate railway network.

🧩Scrabble

Turn your vocabulary into victory.

🏛️7 Wonders

Guide your empire from humble beginnings to greatness.

🤝Pandemic

Save the world through teamwork and smart decisions.

🏰Carcassonne

Shape the kingdom and claim the richest lands.

Open to Full-Stack · SDE · AI Engineering roles

Let's build something.

Always open to the right role, a good project or an interesting problem.