Arpit Kushwaha — Senior AI Engineer

About

Who I Am

4.5+ Years of Experience

3M+ Global Users Served

10M+ Daily Users Impacted

90% AI Pilot Satisfaction

I'm a Senior AI Engineer and Full Stack Developer based in Hyderabad, specializing in Generative AI, LLM-powered systems, and cross-platform mobile development.

At WSAudiology, I architect RAG-based conversational AI assistants serving 3M+ global users across multiple hearing aid brands. My work spans the full AI stack — from LangChain pipelines and LangSmith evaluation frameworks to .NET MAUI cross-platform apps and Kotlin Android development.

Previously at Ixigo, I engineered features used by 10M+ daily users, including pioneering the Resume Booking feature from hackathon prototype to production scale.

I thrive at the intersection of cutting-edge AI research and real-world product impact.

Experience

Where I've Worked

Senior Software Engineer

WSAudiology — Global leader in hearing aids

Mar 2024 – Present Hyderabad, India

Developed an LLM-powered Generative AI assistant in Kotlin integrated with hearing aid fine-tuning, reusable across multiple product suites.
Designed a Gen-AI assistant platform using LangChain, LangFuse, and OpenAI GPT APIs — achieving a 90% user satisfaction score in pilot studies.
Delivered RAG-enabled digital assistant via .NET MAUI and component-based architecture for 3M+ global users in hearing aid support.
Built and maintained microservices in C# for dynamic dialog graph management in a multi-consumer RAG system architecture.
Implemented AI evaluation frameworks (Phoenix, LangSmith) and LLM-as-judge pipelines to systematically benchmark generative model outputs.
Engineered a scalable skinning engine supporting 20+ brand customizations with CI/CD automation, reducing manual release overhead.

KotlinLangChainRAG.NET MAUIC#LangSmithOpenAICI/CD

Software Engineer

Ixigo — One of India's most downloaded apps

Oct 2021 – Feb 2024 Hyderabad, India

Pioneered Resume Booking feature from hackathon prototype to production, impacting 10M+ daily users across the AbhiBus platform.
Refactored 95% of AbhiBus legacy code to MVVM and clean architecture, improving stability, testability, and maintainability.
Delivered 5 key projects using Java, Kotlin, and Flutter; enhanced UTS App handling 6M daily bookings.

KotlinJavaFlutterMVVMAndroid

Skills

What I Work With

AI / GenAI

LLMsRAGLangChainLangSmithLangFuseOpenAI APITool CallingAI ChatbotsPrompt EngineeringPhoenix

Mobile

KotlinAndroidFlutterJavaJetpackCompose.NET MAUIMVVMFirebase

Backend & Cloud

C#.NETAzureREST APIsMicroservicesCI/CDSQLGit

Core CS

System DesignLLDHLDDSAOOPSC++DBMSOS

Projects

Things I've Built

Live App

Signia App

AI-powered hearing aid companion for 3M+ global users. Built the Gen-AI assistant with RAG, LangChain pipelines, and .NET MAUI cross-platform framework.

.NET MAUIC#LangChainRAGOpenAI

View Product

Live App

Rexton App

Hearing aid control & AI support app with 24/7 LLM-powered assistance. Contributed AI assistant backend with RAG, tool-calling, and microservices in C#.

.NET MAUIC#LLMRAGCI/CD

View Product

Live App

AbhiBus

India's top bus booking app with 10M+ downloads and 4.8★ rating. Led Resume Booking feature from hackathon prototype to production, refactored to MVVM architecture.

KotlinJavaFlutterMVVMAndroid

View on Play Store

Highlights

Key Achievements

40–60%

Reduction in app codebase through successful code migration and architectural refactoring

99.9%

Crash-free user experience maintained across production apps at scale

🏆

National Hackathon Finalist — Resume Booking prototype became a production feature for 10M+ users

⭐

Executive recognition for outstanding contributions to AI-driven product innovation

Contact

Let's Build Something

Open to exciting AI engineering roles, collaborations, and interesting conversations.

Email arpitkushwah01@gmail.com

LinkedIn arpit-kushwaha-930443172

Phone +91 9460908951