Sayalee Pote

iOS Developer

https://talent.gravityer.com/sayalee-pote

iOS Developer

Mumbai, Maharashtra, IndiaMember since June 24, 2026

Key Strengths

Demonstrated experience with iOS development using Swift.
Proficiency in integrating Core ML and MLKit for machine learning features in iOS applications.
Experience with various iOS frameworks including Vision, MapKit, and networking.
Practical application of protocol-oriented programming for network layers.
Strong focus on personal projects showcasing initiative and self-learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are all personal, which demonstrates initiative and passion for iOS development. However, without information on team collaboration or open-source contributions, it is difficult to assess cultural fit comprehensively. The projects align well with an iOS Developer role, indicating a strong interest in the domain.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

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Assessing your cultural and operational fit

Projects

MovieDB

May 4, 2021 – May 8, 2021

Universal application to show list of movies and their details

View Project

CodeCharcha

May 8, 2020 – June 12, 2020

CodeCharcha — GitHub repository

View Project

TextDetectWithTranslation

January 28, 2019 – March 3, 2019

Text Detect with MLKit and google translation

View Project

RadioButton

October 6, 2018 – May 18, 2021

Radio Button for iOS

View Project

NetworkLayerSetup

July 9, 2018 – July 9, 2018

A generic network layer in iOS with Swift 4 using protocol programming

View Project

CustomVisionMicrosoftToCoreMLDemoApp

July 3, 2018 – July 4, 2018

This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

View Project

TextDetect

June 20, 2018 – March 3, 2019

This app detects the text from the picture input using camera or photos gallery. The app uses MLVisionTextModel for on device detection. The Vision framework from MLKit of Google is used here.

View Project

Vision_CoreML-App

June 11, 2018 – July 5, 2018

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

View Project

AppleMapsDemo

May 23, 2018 – May 24, 2018

MapKit integration

View Project

PagerStripDemo

April 23, 2018 – April 25, 2018

Simple demo of basic pager tab in iOS Swift using XLPagerTabStrip

View Project

Key Strengths

Demonstrated experience with iOS development using Swift.
Proficiency in integrating Core ML and MLKit for machine learning features in iOS applications.
Experience with various iOS frameworks including Vision, MapKit, and networking.
Practical application of protocol-oriented programming for network layers.
Strong focus on personal projects showcasing initiative and self-learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.

Sayalee Pote

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit