Manish Patiyal
Mobile & AI Engineer · React Native & Android · 13+ Years Building Production Apps
263/6 Sundernagar, Himachal Pradesh 175019
I’m a Senior Mobile Engineer and Technical Lead with 13+ years of experience building and delivering production mobile products across Android, React Native, and cross-platform architectures.
I help product teams turn ideas into reliable, scalable mobile products — from technical discovery and architecture to development, API integration, performance optimization, release, and production support. I’m comfortable taking ownership of the mobile side end-to-end, while working closely with product owners, designers, backend teams, QA, and stakeholders to keep delivery practical and focused on business goals.
My core strength is combining deep Android expertise with modern cross-platform development. I have hands-on experience with Android Framework, AOSP, AIDL, Binder IPC, native SDK and hardware integrations, Kotlin, Java, React Native, and complex mobile architectures. This allows me to work effectively whether a product needs a pure native solution, cross-platform development, or a combination of both.
Beyond mobile development, I bring experience in solution architecture, technical leadership, client engagement, and pre-sales consulting. I can evaluate technical trade-offs, identify risks early, communicate them clearly to non-technical stakeholders, and help teams choose solutions that are maintainable without over-engineering.
I’m also expanding this experience into Generative AI and AI-powered product development, exploring LLM integrations, RAG, agentic workflows, and AI-enabled mobile experiences.
In short: I don’t just build mobile apps — I help teams make the technical decisions needed to take a mobile product from idea to production.
Experience
- Lead technical architecture and development of enterprise-scale mobile solutions from discovery through production delivery.
- Architect Android solutions using Kotlin and Java with emphasis on maintainability, scalability, performance, and system-level design.
- Apply deep understanding of Android internals, framework behavior, concurrency, memory management, and platform performance to solve complex engineering problems.
- Lead technical strategy, architecture decisions, code reviews, engineering standards, effort estimation, and cross-functional collaboration.
- Drive performance engineering using Perfetto, Systrace, memory profiling, and Android diagnostic tooling; investigate ANRs, bottlenecks, and resource issues.
- Design resilient data synchronization and offline-first architectures using Kotlin Coroutines and Flow.
- Lead integration of complex third-party SDKs and native platform capabilities across Android and cross-platform mobile applications.
- Mentor senior engineers and establish architecture, coding, testing, and delivery standards across mobile teams.
- Own end-to-end technical solution architecture for global Real Estate, Retail, and Consumer Research clients — leading a cross-functional team delivering React Native, Flutter, and Android applications.
- Serve as primary technical point of contact for stakeholders across Europe and North America, shaping product roadmaps and resolving critical delivery and architecture challenges.
- Drive pre-sales strategy — technical discovery, solution design, effort estimation, and client proposals/presentations — directly influencing new and expanded client engagements.
- Raise engineering quality through architecture reviews, RCA/CAPA processes, and sprint retrospectives, while mentoring developers through the full implementation lifecycle.
- Built a custom Insta360 native bridge (Android/iOS) powering immersive 3D property visualization for a flagship real estate client.
- Led cross-functional mobile team delivering production-grade React Native apps for enterprise clients in Real Estate, Retail, and Consumer Research.
- Architected scalable mobile solutions: GraphQL integration, Redux state management, optimized data caching, offline-first patterns.
- Delivered 40%+ performance improvements across iOS/Android: startup optimization, memory optimization, rendering efficiency.
- Mentored engineering team on React Native best practices, TypeScript, API integration patterns, and architectural principles.
- Optimized CI/CD pipelines: 50% reduction in deployment time, automated bi-weekly releases.
- Integrated enterprise SDKs (Insta360): custom native bridge modules, complex lifecycle management, cross-platform SDK integration.
- Collaborated with cross-functional teams: Product, Backend, Design, and emerging AI/ML initiatives on intelligent feature integration.
- Architected and developed large-scale Android applications using Java/Kotlin, Android architecture patterns, modular design, and reusable components.
- Built the GfK Consumer Scan application from the ground up, scaling to 5M+ downloads.
- Implemented complex mobile workflows involving barcode scanning, image processing, background processing, offline synchronization, REST API integration, and device capabilities.
- Designed efficient data synchronization and offline-first mechanisms for reliable operation across varying network conditions.
- Investigated application performance, memory usage, crashes, ANRs, and lifecycle-related issues.
- Built the GfK Consumer Scan app from the ground up in React Native — scaled to 5M+ downloads on Google Play across Android and iOS.
- Delivered core production features — barcode scanning, offline sync, camera integration, and REST API communication — for a global consumer research client.
- Partnered with PMs, designers, QA, and international clients to turn requirements into technical specs and high-quality releases across the App Store and Google Play.
- Mentored engineers through code reviews and internal technical seminars on Android and React Native best practices.
- Designed scalable client architecture: Redux normalized state, 50+ component library, responsive design patterns.
- Implemented GraphQL integration: Apollo Client, optimized queries, mutation handling, intelligent pagination, real-time sync.
- Developed core features: barcode scanning, offline data sync, image processing, REST/GraphQL APIs, native SDK integration.
- Achieved 35% startup time reduction through optimization: render cycles, memory efficiency, low-end device performance.
- Established testing framework: 300+ Jest unit tests, integration tests, automated CI/CD pipelines, consistent code quality.
- Mentored junior/mid-level developers: code reviews, architecture guidance, technical decision-making.
- Developed Android solutions involving secure APIs, proprietary SDKs, hardware/software integration, and system-level Android components.
- Worked with Android platform technologies including AOSP and AIDL for system-level communication and integration.
- Developed reusable Android components and abstraction layers for biometric enrollment, authentication, and identity verification systems.
- Worked on secure Android integrations and enterprise device workflows requiring interaction between application and native/platform layers.
- Architected and implemented a Remote SIM Personalization platform for enterprise Android tablets, integrating hardware and software components with real-time state management and secure provisioning workflows.
- Delivered proof-of-concepts, technical demonstrations, production deployments, and technical consulting for enterprise customers.
- Delivered Android-based biometric solutions — enrollment, authentication, and identity verification — for Healthcare, Telecom, and Security clients using proprietary SDKs.
- Engineered a Remote SIM Personalization application enabling secure SIM provisioning on IDEMIA tablets, eliminating the need for traditional SIM programming infrastructure.
- Partnered with Reliance Jio's technical team to integrate biometric authentication into customer and agent onboarding workflows at scale.
- Supported the full product lifecycle — solution design, SDK integration, technical demos/POCs, and deployment — for enterprise clients across India and international markets.
Key Projects
Architected and developed a production Android application from conception to production with 5M+ downloads. Designed modular architecture, offline-first data flows, synchronization, background processing, and resilient network communication. Also built from the ground up in React Native and shipped across Google Play and the App Store for Android and iOS. Production React Native app serving millions of active users with Redux normalized state, GraphQL (Apollo Client), a 50+ component library, and a 99.5% crash-free rate.
360° real estate platform for immersive virtual property tours. Designed a React Native architecture integrating the Insta360 Camera SDK through custom native Android modules with real-time media streaming. Custom Insta360 native bridge on Android and iOS powers immersive 3D property visualization for a flagship real estate client. GraphQL-backed APIs support property data, metadata, and user interactions.
Android-based enterprise platform for enterprise tablets integrating hardware, secure provisioning workflows, and real-time state management for remote SIM personalization.
24/7 conversational health AI app with live video conversation against an AI avatar. Answers are powered by Azure OpenAI, with Google Places–based nearby-doctor discovery and paginated Azure thread history.
Generative AI Learning & Continuing Education
- Currently building applied Generative AI skills: LLM application design, prompt engineering, RAG pipelines, LangChain, and vector databases, alongside ML fundamentals (scikit-learn, pandas, NumPy) and on-device ML (TensorFlow Lite, Core ML, ONNX).
- Enrolled in “Complete Generative AI Course With LangChain and Huggingface” (Krish Naik) — covering Generative AI fundamentals, LangChain, Huggingface model integration and fine-tuning, RAG pipelines, and building/deploying real-world applications such as chatbots and content generators to cloud and on-premise environments.
- Goal: apply 12+ years of mobile solution architecture and client-facing technical leadership experience to GenAI/LLM-powered product architecture.
- Active learning: Python for ML/AI applications and LLM integrations.
- Exploring AI patterns: GenAI APIs, LLM integration strategies, intelligent mobile feature design.
- Focus: Bridging mobile architecture expertise with AI/LLM capabilities; interest in building AI-powered mobile experiences using modern LLM technologies.
Technical Skills
Languages
Android Platform
Native Android
Cross-Platform
Backend & APIs
Cloud & DevOps
Testing & Quality
Performance & Debugging
Architecture & Leadership
Generative AI / LLM Frameworks in progress
LLM & Cloud AI Platforms in progress
Vector Databases in progress
AI Engineering & Backend in progress
AI Quality & Ops in progress
AI Security & Architecture in progress
ML Fundamentals in progress
On-Device ML in progress
Education
Lovely Professional University, Jalandhar — B.Tech (Computer Science & Engineering)
June 2010 – Aug 2013 · CGPA: 8.75/10
Relevant coursework: Artificial Intelligence, Data Structures, Operating Systems, Computer Networks, DBMS.
Government Polytechnic, Sundernagar — Diploma (Computer Science)
2007 – 2010