Hi, I'm Gaurav.

iOS & Full-Stack Developer building high-performance mobile experiences and scalable systems.

Currently developing native iOS applications at Evince Development, combining Swift, Xcode, and machine learning to build intelligent digital solutions.

About me.

Swift Developer & Computer Science Graduate.

I'm Gaurav Kumar Gupta, a Swift & Full-Stack Developer currently based in Ahmedabad, India. I specialize in native iOS development using Swift and Xcode, as well as full-stack web applications, IoT solutions, and machine learning pipelines.

I graduated with a B.Tech in Computer Science and Engineering from Rungta College of Engineering and Technology. I'm passionate about engineering intelligent solutions—from real-time speech-assistive gesture gloves to demand forecasting models. I am a NASA Space Apps Challenge 2025 Global Finalist (1st place local round) and ranked in the Top 10 nationally at HackIndia Spark 6.

My tech stack.

Technologies I work with on a daily basis.

JavaScript
Python
React
Node.js
MongoDB
MySQL
Solidity
C++
Java
HTML5
CSS3
Git
VS Code
Jupyter
Arduino
Flask
Swift
Xcode
FastAPI
OpenCV
Supabase

... and many more!

Recent Projects.

Explore some of my recent projects below. For more, visit my GitHub profile.

AI Research Gap Finder

A full-stack RAG-powered natural language processing platform that extracts insights from research documents (PDF, DOCX, URLs, arXiv, DOI). Integrates Llama 3 via Groq/Ollama for LLM inference, with FAISS vector search, Supabase-backed history, and Google OAuth.

React FastAPI LangChain FAISS Llama 3 Groq Ollama Supabase Python

Mars Dust Storm Detection

A real-time object detection system using YOLOv8 and Python to identify Martian dust storm regions from 1,000+ satellite images with 92%+ mean average precision (mAP). Designed custom OpenCV image preprocessing and data augmentation pipelines. Secured 1st place in NASA Space Apps Challenge local round and advanced to Global Finalist stage.

Python YOLOv8 OpenCV Machine Learning Data Augmentation

HasthVaani (Smart Glove)

An IoT-based smart glove utilizing an Arduino UNO, flex sensors, and an MPU6050 accelerometer to recognize 26+ unique hand gestures with 90%+ accuracy. Features a KNN-based machine learning model in Python and Bluetooth (HC-05) communication to translate gestures into real-time speech/text on an Android app in under 200ms.

Arduino IoT C++ Sensors Bluetooth Python KNN

Experience.

My professional journey and key milestones.

May 2026 - Present

Swift Developer, Associate Trainee

Evince Development Pvt. Ltd

Developed and maintained iOS applications using Swift and Xcode, implementing responsive user interfaces and reusable components to enhance application performance and user experience. Integrated RESTful APIs, managed data handling, and resolved application bugs through debugging and testing. Collaborated with designers, backend developers, and QA teams to deliver high-quality iOS applications.

Sep 2025 - Oct 2025

Azure Based Demand Forecasting & Capacity Optimization System

Infosys Springboard Internship 6.0

Developed an end-to-end demand forecasting system using Python, XGBoost, and Azure-based capacity planning concepts to predict cloud resource utilization. Engineered time-series features, lag variables, rolling statistics, and demand spike detection to improve forecasting accuracy. Built FastAPI prediction services, automated batch forecasting pipelines, and a Streamlit dashboard.

Contact me.

Let's connect! Whether you have a project in mind or just want to say hi, feel free to reach out.

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