# Mohit Gujarati

> Full-stack software engineer with 3+ years of professional experience building mobile and web apps with Kotlin, React Native, React and Next.js. I build data layers (Room, AWS, Supabase, Firebase), integrate REST APIs, and develop AI products, from streaming Gemini pipelines to voice calling workflows.

- Name: Mohit Gujarati
- Role: Full-Stack Software Engineer at Gabriel AI
- Location: Phoenix, AZ, USA
- Experience: 3+ years of professional software engineering across Android, web and AI
- Education: M.S. in Computer Science, Long Island University (Sep 2024 – May 2026, GPA 3.9 / 4.0; Conducted extensive literature review on AI, ML, DL, and software development research papers, applying findings to a comprehensive project. Presented the project for professorial review and synthesized the outcomes into a detailed IEEE-formatted research report.) | B.Tech in Computer Engineering, Shankersinh Vaghela Institute of Technology (Aug 2016 – Sep 2020)
- Core stack: Kotlin, Jetpack Compose, React Native, React, Next.js, TypeScript, PostgreSQL/Supabase, Firebase, Gemini API
- Open to: full-stack, mobile and AI engineering roles
- Contact: mohitgujarati11@gmail.com · https://www.linkedin.com/in/mohitgujarati/ · https://github.com/MohitGujarati

## Profile

- [Portfolio](https://mohitgujarati.vercel.app/): experience, projects, research papers, skills and contact details
- [Structured profile JSON](https://mohitgujarati.vercel.app/profile.json): complete machine-readable profile
- [About](https://mohitgujarati.vercel.app/about): profile, skills, education, awards and contact details
- [Experience](https://mohitgujarati.vercel.app/experience): detailed professional work history
- [Research](https://mohitgujarati.vercel.app/research): papers, abstracts and PDF links
- [Full profile in Markdown](https://mohitgujarati.vercel.app/llms-full.txt): everything on the portfolio as plain text, for AI assistants
- [Resume (PDF)](https://mohitgujarati.vercel.app/Mohit_Gujarati_Resume.pdf): one-page resume
- [GitHub](https://github.com/MohitGujarati): source code and side projects
- [LinkedIn](https://www.linkedin.com/in/mohitgujarati/): professional profile

## Experience

- Full-Stack Engineer, Gabriel AI (Aug 2026 – Present): Led the migration of the customer-facing marketing site from a client-rendered React app to a Next.js static export (19 routes plus a CMS-driven blog). Lighthouse SEO went from unmeasurable to 100 on every page, image payload dropped by 86%, and all content became crawlable by search engines and AI bots for the first time.
- Software Engineer, TNM Software Solutions (May 2023 – Jun 2024): Cut device power consumption by 30% fleet-wide by building battery-efficient location services in Kotlin, using the Google Geofencing API and motion sensors to reduce GPS polling.
- Android Developer Trainee, Tops Technology Inc. (May 2022 – May 2023): Built and released user-facing features with Android UI components and Material Design in Kotlin, and published them to the Google Play Store.

## Projects

- [Shop Circle](https://mohitgujarati.vercel.app/projects/shop-circle): A cross-platform social commerce app with one feed for posts and products, multi-image uploads, optimistic likes, ranked discovery, and typo-tolerant search. Stack: React Native, Expo, TypeScript, Supabase, Algolia, GitHub Actions.
- [Recall AI](https://mohitgujarati.vercel.app/projects/recall-ai): A voice-driven meeting assistant that transcribes live audio, answers questions about the meeting, and handles tasks like setting alarms and reminders for to-dos. Stack: Kotlin, Jetpack Compose, Hilt, Room, Flow, Gemini API.
- [Lummina](https://mohitgujarati.vercel.app/projects/lummina): An AI learning platform with streaming chat, quiz generation, AI grading, study guides, and real-time voice exams. Stack: React 19, Vite, Express.js, Gemini Live, WebSocket, Supabase.

## Research

- [Parkinson's Disease Detection Using Handwriting: A Hybrid Multi-CNN and Genetic Algorithm Framework](https://mohitgujarati.vercel.app/papers/parkinsons-detection-handwriting.pdf): IEEE format, AI700 Applicable Deep Learning · LIU Brooklyn, 2026. 99.2% external validation accuracy.
- [Solving Information Overload: Using BERT to Recommend News Articles Related to User Interest](https://mohitgujarati.vercel.app/papers/bert-news-recommendation.pdf): IEEE format, CS666 · LIU Brooklyn, 2025. SBERT semantic ranking over a rich user profile.
- [A Comparative Survey of PyTorch vs. TensorFlow for Deep Learning: Usability, Performance, and Deployment](https://mohitgujarati.vercel.app/papers/pytorch-vs-tensorflow-survey.pdf): survey, AI700 Applicable Deep Learning · LIU Brooklyn, 2026.
- [TensorFlow: A System for Large-Scale Machine Learning](https://mohitgujarati.vercel.app/papers/tensorflow-system-review.pdf): paper review, AI700 Applicable Deep Learning · LIU Brooklyn, 2026.
- [Microservices and Distributed Systems: Architectures for Scalable, Fault-Tolerant, and Efficient Modern Applications](https://mohitgujarati.vercel.app/papers/microservices-distributed-systems.pdf): term paper, System Design and Analysis · LIU Brooklyn, 2024.