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Software Developer building at the intersection of AI and Business
🎯
Software Developer building at the intersection of AI and Business

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kunthshah21/README.md

Hi, I'm Kunth Shah 👋

I build AI-native apps, full-stack products, and automation systems that move from idea to shipped software.

Most of my work sits at the intersection of product engineering, AI, and business workflows — from mobile apps and on-device AI systems to B2B SaaS platforms, internal tools, and automation pipelines.

I enjoy working on zero-to-one products, especially in fast-moving startup environments where I can own large parts of the product, understand the user deeply, and turn vague ideas into usable software.


🚀 Currently Building

Warment — Personal Relationship Manager

A personal CRM for maintaining meaningful professional and personal relationships.

Warment helps users track their network, remember context, and follow up at the right time through intelligent reminders, relationship history, and on-device AI memory.

Tech Stack: Swift, SwiftUI, SwiftData, Apple Foundation Models, iOS


Brive — AI Journaling Companion

An on-device AI journaling app built around persistent memory, reflection, and contextual conversations.

Brive uses Apple Foundation Models to summarize entries, retain long-term emotional context, and generate more thoughtful prompts without user data leaving the device.

Tech Stack: Swift, SwiftUI, SwiftData, Apple Foundation Models, On-device AI


🧩 Selected Work

B2B Manufacturing Procurement Platform

Built a multi-tenant SaaS platform for manufacturing procurement workflows, including supplier flows, quote management, secure organization-scoped data, and production/staging cloud infrastructure.

Tech Stack: Next.js 16, Prisma, PostgreSQL, Azure, Docker, GitHub Actions


June AI Dating App

Worked as the lead / solo mobile engineer for an AI dating app, shipping the full Flutter app for iOS and Android in under 50 days.

The app integrated AI compatibility scoring, profile enrichment, chat flows, monetization considerations, and App Store compliance, and was deployed to 1,000+ beta users via TestFlight.

Tech Stack: Flutter, Supabase, REST APIs, MVVM, iOS, Android


AI-Powered Test Paper Checker

Built an automated grading and review system for UPAY, an NGO, to process thousands of question papers every month.

The system combines N8N workflows, AI-based grading, document management, and an admin dashboard for non-technical users.

Tech Stack: JavaScript, N8N, React, Supabase, Google Drive


Meta-Learning Imputation System

Built a machine learning system that predicts the best imputation strategy for a dataset instead of applying a default method.

The project simulated MCAR, MAR, and MNAR missingness patterns across 7,000+ scenarios, ran 92K+ benchmark experiments, engineered 90+ meta-features, and optimized runtime from roughly 300 hours to 6–7 hours.

Tech Stack: Python, PyTorch, Scikit-learn, FastAPI


AI Lead Enrichment & Outreach Pipeline

Built an AI-powered lead enrichment workflow for a cybersecurity startup, automating web scraping, contact curation, and outreach analysis across 1,000+ profiles.

Tech Stack: Python, Web Scraping, Automation, AI Workflows


🛠️ Tech I Work With

Mobile & Frontend
Swift • SwiftUI • Flutter • React • Next.js • Tailwind CSS • Shadcn

Backend & Infrastructure
Supabase • PostgreSQL • Prisma • FastAPI • Azure • Docker • GitHub Actions • AWS

AI & Machine Learning
Apple Foundation Models • TensorFlow • PyTorch • Scikit-learn • Hugging Face • LangChain • LLMs • Prompt Engineering

Automation & Data
N8N • BeautifulSoup • Pandas • SQL • Power BI • Tableau • R

Product & Design
Figma • Framer • Streamlit • UX Research • Startup Product Development


🏆 Highlights

  • Built and shipped AI, mobile, SaaS, and automation products across India, the UAE, Canada, and the US
  • Lead / solo mobile engineer for June AI, deployed to 1,000+ beta users
  • Selected as 1 of 11 residents from 20,000+ applicants for the Nas Daily AI Residency in Dubai
  • Built production-grade AI workflows for NGOs, startups, and SMEs
  • Computer Science graduate with a Business Analytics minor from FLAME University
  • Winner of FLAME University’s GenAI Hackathon

🎯 What I'm Interested In

I'm especially interested in:

  • AI-native consumer apps
  • On-device AI and personal memory systems
  • Personal CRM and relationship intelligence
  • B2B SaaS for traditional industries
  • Automation tools for SMEs
  • Product engineering in small, high-ownership teams

📫 Let's Connect


Building AI-native products, practical systems, and software that moves from idea to shipped.

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