Publication
Better Android Apps Using MVVM With Clean Architecture
https://www.toptal.com/developers/android/android-apps-mvvm-with-clean-architecture
Abhishek is currently unavailable
Abhishek Tyagi
Verified Expert in Engineering
Android Developer
Bengaluru, Karnataka, India
Toptal member since October 11, 2018
Bio
Abhishek is an ex-Google engineer with 10+ years of coding experience. He built and scaled Vanilabs.ai, a voice AI training platform for financial services with real enterprise customers. He designed a production STT, LLM, and TTS pipeline, a dual-agent architecture for real-time roleplay and coaching, and solved complex problems, such as document compression for voice bots in regulated industries.
Portfolio
VaniLabs
Large Language Models (LLMs), AI Voice Agents, LiveKit, Agentic AI, AI Agents
Google
Flutter, Java, Dart, AI Agents, Artificial Intelligence (AI)...
Uber
Dagger 2, RxJava 2, Java, Kotlin, Android, Go, SQL, Amazon Web Services (AWS)...
Experience
- Java - 6 years
- Git - 6 years
- Android - 6 years
- iOS - 4 years
- Swift - 4 years
- Kotlin - 3 years
- Model View ViewModel (MVVM) - 3 years
- Clean Architecture - 3 years
Preferred Environment
Git, Android Studio, MacOS
The most amazing...
...thing I've built is Vanilabs.ai, an AI roleplay platform that also does QA automation.
Work Experience
Founder & CEO
2025 - 2026
VaniLabs
- Built and shipped a production-grade AI voice training platform serving financial services clients.
- Designed a real-time STT, LLM, and TTS pipeline that enabled sub-second voice interactions for AI-powered sales roleplay and coaching sessions.
- Developed an LLM-based call evaluation system that automatically scored and analyzed sales conversations across multiple quality dimensions.
- Engineered RAG and full-context retrieval strategies optimized for low-latency voice applications in compliance-heavy regulated industries.
- Owned the entire technical stack end-to-end — from infrastructure and back end to AI pipelines and front end — as sole technical co-founder.
Technologies: Large Language Models (LLMs), AI Voice Agents, LiveKit, Agentic AI, AI Agents
Staff Software Engineer
2022 - 2025
- Developed Google Pay SDK that handled UPI payments inside the merchant app.
- Built AI agents to resolve 70% of oncall tickets automatically.
- Reduced end-to-end latency of UPI payments by 30% by intelligent caching of payment profiles.
Technologies: Flutter, Java, Dart, AI Agents, Artificial Intelligence (AI), Software Architecture, Python, Large Language Models (LLMs), Agentic AI, Retrieval-augmented Generation (RAG), Back-end
SDE 3
2019 - 2022
Uber
- Migrated Uber Push infrastructure from SSE (Server-Sent Events) to gRPC.
- Integrated UberPay APIs in the payment framework, which allows any third-party payment provider to add its payment method in Uber apps instead of developers implementing each provider. This resulted in a saving of around 430 eng. workweek per year.
- Developed Uber Prescriptions, a new vertical in Uber itself to deliver prescriptions to users in the US.
- Worked on the UberPay payment methods, which unlocked $50M gross booking in just three months of launch.
- Created a new multistep checkout experience for the Uber Eats app.
Technologies: Dagger 2, RxJava 2, Java, Kotlin, Android, Go, SQL, Amazon Web Services (AWS), DevOps, Docker, Google Maps, Software Architecture, Python
Full-stack Developer
2015 - 2016
OrangeTwig
- Developed OrangeTwig's Android and iOS app from scratch.
- Rewrote the image fitting algorithm of Orangetwig for much better performance.
- Developed a new feature, “Autoplan,” from scratch which automatically posts on your social media account.
- Added two new platforms, WooCommerce and BigCommerce, to OrangeTwig's web app.
Technologies: Node.js, Swift, iOS, Java, Android
Experience
ETMONEY: Direct Mutual Funds, Credit, and Expenses
https://play.google.com/store/apps/details?id=com.smartspendsIt is an Android app. The app lets you buy mutual funds in India. The app has more than 5 million downloads in the Google Play Store. It has a lot more features, but I've only built the investment part of this app.
ETMONEY: Investments and Credit
https://apps.apple.com/in/app/etmoney-mutual-funds-sip-fd/id1212752482This is an iOS app. It lets you invest in mutual funds in India. I built the app's investment section and led a team of three other developers when we started building the iOS version. The app follows MVVM architecture.
Peace of Mind (iOS)
This app is built mostly for personal use. It lets you create a circle of family or friends to know their whereabouts.
Some other features of the app:
- Any member can see the real-time location of any member in the circle.
- Receive real-time alerts when Circle Members arrive at or leave destinations
- Implemented the whole app using Swift, Firebase, RxSwift, Realm, and MVVM with Clean architecture
- Unit testing using XCTest framework
- The back-end is written in Node.js and deployed on Google Cloud Platform
Some other features of the app:
- Any member can see the real-time location of any member in the circle.
- Receive real-time alerts when Circle Members arrive at or leave destinations
- Implemented the whole app using Swift, Firebase, RxSwift, Realm, and MVVM with Clean architecture
- Unit testing using XCTest framework
- The back-end is written in Node.js and deployed on Google Cloud Platform
Peace of Mind (Android)
This app is built mostly for personal use. It lets you create a circle of family or friends to know their whereabouts.
Some other features of the app:
- Any member can see the real-time location of any member in the circle.
- Receive real-time alerts when Circle Members arrive at or leave destinations
- Implemented the whole app using Kotlin, Firebase, RxJava 2, Room, and MVVM with a clean architecture.
- Used Dagger 2 for dependency injection.
- The back-end is written in Node.js and deployed on Google Cloud platform.
Some other features of the app:
- Any member can see the real-time location of any member in the circle.
- Receive real-time alerts when Circle Members arrive at or leave destinations
- Implemented the whole app using Kotlin, Firebase, RxJava 2, Room, and MVVM with a clean architecture.
- Used Dagger 2 for dependency injection.
- The back-end is written in Node.js and deployed on Google Cloud platform.
Fivestars Pay
Built Fivestars Pay app which is a payment solution for POS (point of sale) systems - Square, Clover, and Toast.
Technology: Kotlin, RxJava, Dagger 2, Accessibility API
Technology: Kotlin, RxJava, Dagger 2, Accessibility API
Impulse Music Player
https://play.google.com/store/apps/details?id=com.appmetric.impulse.freeIt is a gesture-controlled music player for Android. It has some of the most advanced features of any music player on Android
- Gapless playback
- Crossfade
- 5-band equalizer
- Handwave feature which lets you skip songs just by waving your hand above your phone
The app is completely written in Kotlin using MVVM with a clean architecture.
WIP: I'm currently working on allowing an option to stream Youtube video of the current playing song.
The free version has around 85,000 downloads with a rating of 4.3 and the paid version has around 5,000 downloads with a rating of 4.5.
- Gapless playback
- Crossfade
- 5-band equalizer
- Handwave feature which lets you skip songs just by waving your hand above your phone
The app is completely written in Kotlin using MVVM with a clean architecture.
WIP: I'm currently working on allowing an option to stream Youtube video of the current playing song.
The free version has around 85,000 downloads with a rating of 4.3 and the paid version has around 5,000 downloads with a rating of 4.5.
OrangeTwig
I built the iOS as well as Android app for OrangeTwig. The app handles scheduling marketing posts on the social media accounts of businesses.
Education
2011 - 2015
Bachelor's Degree in Computer Science
Indian Institute of Technology Roorkee - Roorkee, India
Skills
Libraries/APIs
RxJava 2, Google Maps, Node.js, RxJava
Tools
Git, Android Studio
Languages
Kotlin, Swift, Java, Go, SQL, Python, Dart
Paradigms
Model View ViewModel (MVVM), Clean Architecture, Model View Presenter (MVP), DevOps
Platforms
iOS, Android, Amazon Web Services (AWS), Docker, MacOS, LiveKit
Frameworks
Dagger 2, Flutter
Storage
MySQL, Realm, PostgreSQL, MongoDB
Other
Room, Mobile App Development, AI Agents, Artificial Intelligence (AI), Software Architecture, Large Language Models (LLMs), Agentic AI, Retrieval-augmented Generation (RAG), Back-end, Computer Science, AI Voice Agents
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