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WORK WITH DIVYA

Better Mobile Architecture. Smarter AI Experiences. Stronger Engineering Teams.

I help technology teams navigate complex mobile engineering decisions, design scalable systems, and explore meaningful AI opportunities, combining hands-on technical expertise with engineering leadership experience.

  • 12+ years in mobile engineering.
  • Google Developer Expert for Android.
  • Engineering leadership across iOS and Android.
  • Global technical conference speaker.
Explore My ExpertiseView My Work
Divya Jain, mobile engineering leader and Google Developer Expert for Android

Engineering Depth. Product Thinking. Real-World Leadership.

12+ Years

Mobile Engineering Experience

Google Developer Expert

Android

Cross-Platform Leadership

iOS · Android · Shared Systems

Technical Speaker

Developer Conferences & Workshops

Complex mobile challenges deserve thoughtful technical decisions.

Whether you're building a new mobile experience, modernizing an existing platform, exploring AI capabilities, or scaling an engineering organization, the right technical decisions can shape your product for years.

For Founders & Startups

Make informed decisions about mobile architecture, technology selection, product feasibility, and long-term scalability.

For Engineering Leaders

Navigate technical debt, delivery challenges, cross-platform consistency, and organizational complexity.

For Product & Innovation Teams

Understand the opportunities and practical constraints of bringing AI-powered experiences into mobile products.

How I Can Help

Focused technical expertise across mobile architecture, applied AI, and engineering leadership, grounded in experience building products and leading the teams behind them.

Mobile Architecture & Modernization

Design scalable, maintainable mobile systems and make confident architectural decisions as your product and engineering organization grow.

Ideal audience. CTOs, engineering directors, mobile leads, and founders with established or growing applications.

See what's included

Problems this speaks to

  • Increasing architectural complexity.
  • Difficult-to-maintain mobile codebases.
  • Slow development due to technical debt.
  • Platform inconsistencies.
  • Unclear module boundaries and ownership.
  • Scaling challenges across growing teams.

Ways to help

  • Architecture reviews.
  • Mobile modularization strategy.
  • Native versus cross-platform assessment.
  • Technical debt prioritization.
  • Maintainability and scalability assessment.
  • Migration and modernization planning.
  • CI/CD and engineering workflow assessment.

Example outputs

  • Architecture assessment document.
  • Prioritized recommendations.
  • Technical risk register.
  • Target architecture proposal.
  • Modernization roadmap.
  • Engineering decision recommendations.

Applied AI for Mobile Products

Explore practical ways to bring useful, privacy-conscious AI experiences into mobile applications, from use-case selection to architecture and implementation strategy.

Ideal audience. Product teams, AI innovation leaders, Android teams, and startups exploring intelligent consumer experiences.

See what's included

Problems this speaks to

  • AI ideas without clear user value.
  • Uncertainty about on-device versus cloud inference.
  • Privacy and performance tradeoffs.
  • Model availability and readiness.
  • Integration complexity.
  • Moving beyond prototypes.

Ways to help

  • AI use-case discovery.
  • Product feasibility assessment.
  • On-device versus cloud architecture analysis.
  • Gemini Nano and Android AI architecture exploration.
  • Privacy, latency, and reliability considerations.
  • AI feature experimentation planning.
  • Prototype architecture guidance.

Example outputs

  • AI opportunity assessment.
  • Feasibility and technical tradeoff matrix.
  • Reference architecture.
  • Prototype implementation recommendations.
  • Technical risk and evaluation plan.

Engineering Strategy & Team Effectiveness

Improve how mobile engineering teams make decisions, collaborate across disciplines, and deliver high-quality experiences at scale.

Ideal audience. Engineering managers, directors, startup CTOs, and mobile product organizations.

See what's included

Problems this speaks to

  • Unclear technical ownership.
  • Delivery bottlenecks.
  • Cross-functional coordination challenges.
  • Inconsistent engineering practices.
  • Quality and release friction.
  • Design system fragmentation.
  • Technical decision-making gaps.

Ways to help

  • Engineering workflow assessment.
  • Team structure and ownership review.
  • Engineering standards and governance.
  • Design system strategy.
  • Release and quality process review.
  • Technical decision documentation.
  • Cross-functional collaboration improvement.

Example outputs

  • Engineering effectiveness assessment.
  • Process recommendations.
  • Technical governance framework.
  • Team collaboration improvement plan.
  • Prioritized operational roadmap.

Technical Speaking & Workshops

Engaging, practical sessions on Android engineering, mobile architecture, on-device AI, and technical leadership, designed to help engineers turn concepts into real-world skills.

Ideal audience. Developer communities, technology conferences, engineering organizations, and event organizers.

See what's included

Problems this speaks to

  • Finding technically credible speakers.
  • Delivering practical sessions.
  • Creating engaging workshops for mobile and AI developers.

Ways to help

  • Modern Android development.
  • Clean Architecture and modularization.
  • Kotlin and Jetpack Compose.
  • On-device AI and Gemini Nano.
  • AI-powered mobile experiences.
  • Cross-platform design systems.
  • Technical leadership.
  • Building effective engineering teams.

Example outputs

  • Conference keynote or talk.
  • Hands-on developer workshop.
  • Internal engineering learning session.
  • Technical panel or fireside chat.
  • Mentorship or expert discussion.

ILLUSTRATIVE ENGAGEMENT

Mobile Architecture & AI Readiness Review

Get Clarity Before Your Next Big Technical Decision.

For teams facing architectural complexity, mobile scaling challenges, or uncertainty about practical AI adoption, a focused technical review can help identify risks, opportunities, and a sensible path forward.

Shown here as an illustrative format. Scope would be shaped individually, and this is not a packaged offer.

  1. Step 1

    Understand

    Review the product context, current architecture, team constraints, and most important engineering challenges.

  2. Step 2

    Evaluate

    Assess technical risks, architectural tradeoffs, implementation options, and applicable AI opportunities.

  3. Step 3

    Recommend

    Develop a prioritized set of recommendations based on technical feasibility, organizational context, and expected engineering value.

  4. Step 4

    Align

    Discuss findings, tradeoffs, and potential next steps with relevant engineering or product stakeholders.

Example outputs

  • Executive technical assessment.
  • Architecture findings.
  • Priority-ranked recommendations.
  • Relevant AI feasibility considerations.
  • Suggested technical next steps.

What this format is not

  • A guarantee of specific performance improvements.
  • A complete security audit.
  • A substitute for formal compliance certification.
  • A promise of production-ready implementation.
  • A fixed-price package before requirements are understood.

From Complex Challenges to Clear Next Steps

A useful conversation often moves through these four moments. The actual scope is decided individually.

  1. 01

    Discover

    Understand the product, engineering context, and core challenge.

  2. 02

    Assess

    Review relevant technical systems, constraints, and opportunities.

  3. 03

    Recommend

    Develop practical recommendations and explain major tradeoffs.

  4. 04

    Align

    Help stakeholders understand the findings and prioritize what matters.

Experience Behind the Perspective

HiRoad

Scalable Mobile Product Engineering

Experience working on native iOS and Android applications in a production consumer environment, with attention to architecture, product experiences, experimentation, and technical sustainability.

Shared as public product context from employment on the product.

Relevant expertise. Mobile Architecture & Modernization · Engineering Strategy

App Store (opens in a new tab)Play Store (opens in a new tab)

Gametime

Consumer Application Development

Experience working on mobile consumer experiences where usability, integration complexity, and dependable product delivery are central engineering considerations.

Shared as public product context from employment on the product.

Relevant expertise. Mobile Architecture · Cross-platform engineering

App Store (opens in a new tab)Play Store (opens in a new tab)

On-Device Fitness Coach

On-Device AI Technical Writing

Practical exploration of mobile AI architecture, model readiness, integration boundaries, and production-oriented design considerations.

Public technical writing, separate from employer product work.

Relevant expertise. Applied AI for Mobile Products

Read the series
Divya Jain, mobile engineering leader and Google Developer Expert for Android

Hi, I'm Divya. I Build Products and Help People Build Better Ones.

I'm a mobile engineering leader, Google Developer Expert for Android, technical speaker, and lifelong builder.

For more than a decade, I've worked across mobile technologies, product experiences, engineering architecture, and technical leadership.

My work spans hands-on mobile development, cross-platform engineering, design systems, scalable architecture, and leading teams that turn complex ideas into meaningful customer experiences.

I'm especially interested in the intersection of mobile engineering, practical AI, and the systems that help teams build great products sustainably.

I believe strong engineering is about more than choosing the right technology. It's about making thoughtful tradeoffs, creating clarity, empowering people, and building experiences that matter.

And outside technology? You'll probably find me exploring a new trail, planning a road trip, or discovering another coffee shop.

Read the full About section

FAQ

What kinds of teams does your expertise best support?

My experience is particularly relevant to startups, product organizations, and engineering teams navigating mobile architecture, platform growth, applied AI, or engineering delivery challenges.

Do you work with both iOS and Android?

Yes. My background includes Android, iOS, and cross-platform mobile engineering, including technical architecture and leading engineering teams across platforms.

Can you help evaluate AI opportunities in an existing mobile app?

My areas of expertise include practical AI use-case evaluation, mobile integration architecture, on-device AI, and related technical tradeoffs.

Do you provide hands-on implementation?

My primary positioning is technical advisory, architecture guidance, and knowledge sharing. Implementation involvement, if available, would depend on the specific scope and applicable professional and legal constraints.

Do you speak at conferences and conduct workshops?

Yes. Technical speaking and developer education are established parts of my professional work. Examples of previous talks are linked in the evidence section on this page.

Let's talk through the work.

If a mobile architecture question, an AI idea, or a speaking invitation is on your mind, the Let's Collab form is the way to write.

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