Specialized Flutter & GenAI Engineer for founders & product teams. I build production iOS & Android apps integrated with ChatGPT, Gemini, Computer Vision, and Supabase. Fixed pricing · 100% On-Time Delivery · Full Source Code Ownership.
From greenfield cross-platform Flutter applications to adding GenAI capabilities onto your existing mobile app — built fast, clean, and production-ready.
Flutter Apps with Integrated GenAI & LLM Capabilities
End-to-end mobile development with smart AI features baked directly into the user experience — including AI chatbots, real-time vision/scan reports, generative content engines, and customized LLM workflows.
Cross-Platform MVPs & Production Apps Built to Scale
High-performance, pixel-perfect iOS & Android mobile applications built using Flutter, Dart, state management (BLoC/Riverpod), and scalable backends like Firebase or Supabase.
Supercharge Your Current Mobile App with Intelligence
Upgrade your existing app with smart AI capabilities without a total rewrite. Integrate intelligent chatbots, automated document/image scanners, or personal recommendation engines seamlessly.
RAG Pipelines, LangGraph Agents & Custom APIs
Robust backend AI architecture to power your apps — retrieval-augmented generation (RAG) pipelines, autonomous multi-agent workflows, vector databases, and PyTorch deep learning models.
Real production mobile applications shipped to app stores and end-users, built with modern Flutter architectures and scalable AI integrations.
Built a complete 3-app ecosystem (Consumer, Vendor, Driver) serving 500+ daily orders. Implemented custom driver-assignment algorithms using O(n log n) distance-sorting logic that reduced average delivery times by 25%. Integrated Stripe payments, Google Maps API live routing, and real-time Firebase syncing.
Designed and deployed a full-featured multi-tenant mobile AI SaaS app available on Play Store. Integrated Groq API for rapid speech-to-text transcription, custom Node.js backend with Supabase, tiered subscription validation, and in-app purchases.
Developed during production tenure at Esferasoft. Engineered a Gemini-powered workout & nutrition plan generator, body-scan analysis module, real-time AI coach chat, and an automated push notification pipeline delivering 10,000+ daily personalized alerts via Firebase Cloud Messaging.
Built an intelligent code review assistant using Cohere NLP API that analyzes code snippets, detects potential anti-patterns, generates structured documentation, and cuts manual code review turnaround time by 70%.
Deep ML & agentic engineering projects validating GenAI capabilities
Autonomous research system built with LangGraph, web scraping agents, and iterative synthesis pipelines for deep domain analysis.
PyTorch convolutional neural network architecture trained on spectrogram transformations for high-accuracy audio spectrum classification.
End-to-end customer churn prediction pipeline featuring feature engineering, model tracking via MLflow, Dockerization, and AWS EC2 deployment.
A reliable 4-step workflow designed to take your app idea from initial discovery to live App Store & Play Store launch without delays.
We hop on a concise discovery call to break down your vision, key features, target audience, and AI requirements into a clear technical scope.
You get a detailed, transparent proposal outlining milestone deliverables, fixed cost, architecture blueprint, and milestone payment terms.
Iterative 1-week development sprints with live APK/TestFlight builds so you test real features early and provide continuous feedback.
Deploying your app to Apple App Store & Google Play Store, handing over full source code ownership, backend documentation, and post-launch support.
Deep dives into AI engineering, Flutter mobile architecture, and system design published via Notion.
This guide walks you through wiring Face ID, Touch ID, Android BiometricPrompt, and WebAuthn into a single Flutter codebase. It also covers a comprehensive threat model, latency benchmarks, and mitigation tactics for robust security.
The flutter_ar plugin abstracts the differences between ARCore and ARKit, offering a single Dart API for immersive AR experiences. Developers can leverage sensor fusion, native performance profiling, and platform‑specific features without maintaining separate codebases. This approach accelerates cross‑platform AR development in Flutter.
This guide shows how to embed Stable Diffusion in a Flutter app, delivering AI‑generated images in real time. Using a serverless endpoint and HTTP/2, the images stream securely with sub‑second response times, keeping the mobile experience fast and safe.
I specialize in bridging the gap between cross-platform Flutter mobile applications and cutting-edge Generative AI backends.
Why founders, startups, and product leaders choose Manish Joshi to build, scale, and launch their high-stakes mobile applications.
You retain 100% intellectual property and full GitHub repository access upon completion. Built with clean, modular Flutter/Dart architecture for easy future scaling.
Sub-second AI streaming, optimized O(n log n) routing logic, and zero-latency state management built to comfortably handle thousands of active app users.
No middle-men or communication delays. Get weekly playable APK/TestFlight builds delivered straight to your device with direct founder updates on WhatsApp.
Have a mobile app concept, MVP idea, or want to integrate GenAI into your current app? Fill out the project form or reach out directly for a fast proposal and quote.
Everything you need to know about Manish Joshi and manishjoshi.online.