Kartik Gangwar

I build systems that turn complex workflows into reliable products.

Computer Science and Data Science at UW–Madison. I work on backend systems, mobile products, data pipelines, and machine-learning applications.

Currently BuildingStudi
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Featured Work

Building products that solve real problems through reliable systems.

In Active Development

Studi

Study coordination for UW–Madison students

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Connects students with study sessions based on class enrollment and preferences. Solving session discovery and peer coordination at scale.

What I Built

Mobile app and backend: authentication, class-aware matching, real-time messaging, analytics, and moderation.

Key Systems

→Session discovery with class-based matching
→Real-time sync via Firestore
→Rate limiting and privacy controls
→Funnel instrumentation with PostHog
React NativeTypeScriptFirebaseFirestorePostHog
Studi app home screen showing Hi Kartik, Your next session card for HISTORY 101 Review for 5th quiz, and Your classes list with COMP SCI 400, MATH 320, and HISTORY 101
Live mobile product · 2,000+ downloads

FiPet

A gamified financial-literacy app combining learning quests, pet progression, customization, and real-time social features.

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Engineering Focus

→Designed Firestore data models and real-time synchronization workflows
→Built authentication, gamification, and data-validation services
→Reduced data-sync defects by 35% through stronger validation and testing
→Coordinated feature integration and code-review workflows across a 25+ person team
React NativeTypeScriptFirebaseFirestore
FiPet app home screen showing Level 2 orange fox pet, XP progress, daily streak tracker, and financial literacy quests

AI Market Sentiment Dashboard

Completed • Team project

Real-time AI pipeline: financial headlines → FinBERT sentiment → market data → ML predictions → unified dashboard.

AI Market Sentiment Dashboard with sentiment analysis, probability mix, NVDA price history, and market headlines
→Backend/frontend API contracts for real-time data
→Market data pipelines with validation
→Coordinated 5-member team development
FastAPIReactPythonFinBERTNLP

TrueNeed

Hackathon • 24 hours

Real-time mutual-aid platform: request/offer posting, Firestore matching, live feed sync.

→Shipped complete platform in 24 hours
→Real-time matching and database sync
→Authentication and live interactions
→Firestore queries with geolocation filtering
React NativeFirebaseFirestoreTypeScript

Experience

Building production systems and shipping reliable software.

Software Engineering Project Manager

AI@UW

March 2026 – Present

→Coordinated 20+ club members to demo full-stack AI market sentiment dashboard using FinBERT, FastAPI, and React
→Built backend REST APIs for financial data pipelines with validation and testing infrastructure
→Reduced ML service latency through debugging and optimization of Python prediction endpoints

Impact

Built an end-to-end AI market sentiment platform with real-time sentiment analysis

FastAPIReactPythonFinBERT

Lead Software Engineer

FiPet

October 2025 – Present

→Leading technical development for gamified financial literacy platform (2,000+ downloads)
→Reduced authentication sync defects by 35% through improved testing and error handling
→Coordinated feature integration and code reviews across 25+ person engineering team

Impact

Built scalable Firebase backend with real-time gamification systems

React NativeTypeScriptFirebaseFirestore

Technology Strategy Intern

iStart Valley

June 2023 – September 2023

→Developed technical prototypes for VR-based mental health platform
→Designed headset interaction workflows and immersive environments
→Applied lean startup principles and product-market fit analysis

Impact

Evaluated AI-driven product concepts and UX systems

VRAI SolutionsProduct Strategy

Software Engineering Instructor

STEMShala Enrichment Center

June 2023 – August 2025

→Taught Python, JavaScript, and robotics to 40+ students
→Designed technical lesson plans and engineering exercises
→Built autonomous robotics challenges with sensor integration

Impact

Developed software fundamentals curriculum

PythonJavaScriptRobotics

About

Building systems that work reliably at scale.

I'm a Computer Science and Data Science student at UW–Madison who builds scalable backend systems, mobile applications, and machine learning pipelines. I take products from concept to deployment, focusing on scalable architecture and reliable software.

My work includes real-time data sync systems, RESTful API design, Firebase-backed mobile platforms, and ML-driven sentiment analysis. I've shipped features used across a platform with 2,000+ downloads, reduced data-sync defects by 35% through stronger validation and testing, and built systems supporting real-time interactions.

Currently engineering Studi — a class-based study coordination platform for UW–Madison that matches students with sessions through enrollment data and preference algorithms.

Technical Profile

Tools and technologies I work with to build reliable systems.

Languages

PythonJavaJavaScriptTypeScriptSQL

Frameworks & Technologies

ReactReact NativeFastAPIFirebaseFirestoreNode.js

Backend & Tools

GitGitHubLinuxVS CodeJupyter Notebook

ML / AI

TensorFlowPyTorchscikit-learnNumPyPandasFinBERT

Get in Touch

Open to discussing projects, collaborations, or opportunities.

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© 2026 Kartik Gangwar. Built with Next.js and Tailwind CSS.