Neeraj Joshi

Software Engineer

Delhi, India3 yrs 6 mos experience

Key Highlights

Expert in iOS development with a focus on performance and security.
Led initiatives for real-time monitoring and fraud detection.
Strong background in integrating complex SDKs across applications.

Stackforce AI infers this person is a Fintech-focused iOS developer with strong backend integration skills.

Contact

Skills

Core Skills

Ios DevelopmentSwift (programming Language)JavaData Visualization

Other Skills

AlgorithmsApache DruidApache SupersetC++CrashlyticsData StructuresEducationProblem SolvingSonarqubeXcode

About

As an iOS developer on the App Platform team, I’ve worked extensively with Swift to build and scale foundational features used across multiple apps. My experience spans performance monitoring, observability, cross-app SDK integrations, and platform security. I’ve led the redefinition of key metrics in our in-house performance monitoring tool to support organizational-level insights, integrated it across sister apps, and implemented a real-time alerting system, bringing a backend-style focus on reliability and scalability to mobile infrastructure. I've also developed SDKs that support on-device machine learning model execution and device fingerprinting to enhance security and fraud detection. I enjoy working at the intersection of mobile and backend systems, focusing on high-performance, secure, and scalable technology that powers impactful user experiences.

Experience

Google

Software Engineer

Oct 2025 – Present · 5 mos

Phonepe

3 roles

Software Engineer

Jul 2023 – Sep 2025 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Contributed to the development of an SDK designed to detect the uniqueness of iOS devices, aimed at preventing fraud. This SDK not only enhances security measures for our applications but also serves external companies, providing them with reliable solutions to mitigate fraudulent activities and ensure device authenticity.
Worked on SDK responsible for executing machine learning models in iOS applications over the air. This involved creating a seamless integration process that allows dynamic model updates and execution, enhancing the app's functionality and user experience by leveraging real-time data processing and machine learning capabilities.
Redefined the entire contract for performance monitoring tool to scale the sample size and enhance organisational adoption.
Redefined key metrics, integrated the SDK with sister applications, and established a comprehensive alerts and reporting system.
Focused on reducing technical debt, leading to improved performance and usability across our suite of applications.

Swift (Programming Language)iOS Development

Software Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India

Developed an end-to-end Java service that calculates and ranks teams based on various metrics, including tech debts, SonarQube code smells, test coverage, vulnerabilities, Jira issues, and app crashes. This solution provided comprehensive insights into code quality and project health, allowing teams to identify areas for improvement and streamline performance.
Contributed to the development and enhancement of our internal performance monitoring iOS SDK. Focused on improving its functionality to better capture and analyse app performance metrics in real-time, providing critical insights for optimising application performance and user experience.

JavaSonarqubeCrashlyticsiOS DevelopmentSwift (Programming Language)

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos

Worked with Apache Superset and Druid database to design and implement a pipeline for capturing and analysing performance metrics for PhonePe app.
Gained hands-on experience in data visualisation, real-time analytics, and optimising performance insights for app development.

Apache SupersetApache DruidData Visualization