Full‑Stack AI Developer / Small Team Needed for Local‑First AI Platform (Windows App, 4 Sprints)

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@chiragardeshna

Hi there, I am a strong fit because I have built local-first AI applications that combine on-device LLM execution with tightly controlled cloud services for auth, billing, and acceleration. I have hands-on experience running local LLMs, RAG pipelines with FAISS/Chroma, SDXL image generation, Whisper STT, and hybrid token-metered cloud fallbacks. I would use a Tauri + React desktop app, a Python FastAPI backend for auth, payments, and usage tracking, and modular local AI services to keep compute costs predictable. I reduce risk by enforcing sprint-wise delivery, strict separation between local and cloud execution, and hard limits on tokens, agents, and retries. I am available to start immediately and can commit to all four sprints with clear milestones and long-term ownership. Regards Chirag

@Ussama91

I'll deliver a working Windows installable MVP with core AI features and cloud backend in Sprint-1, expand into education and content creation workflows in Sprint-2, introduce AI agents with guardrails and cost control in Sprint-3, and add premium and enterprise-grade features in Sprint-4, using tech stack such as React, FastAPI, DeepSeek, and SDXL, with estimated cost per sprint based on the scope and complexity of each sprint. Waiting for your response in chat! Best Regards.

@realroshan102

Hi, I've thoroughly reviewed your SuperAI project details, and I'm confident in delivering a robust local-first AI platform aligning exactly with your requirements. With extensive experience in AI/LLM applications, including local LLM setups and RAG systems, I have built installable Windows desktop apps in React with Tauri and backend APIs using FastAPI. I understand token limits, rate control, and cost optimization crucial for your hybrid AI architecture. I propose a clear sprint-wise delivery over 9–10 weeks ensuring core MVP, toolkit, AI agents, and premium layers are well integrated. I am keen on long-term collaboration post Sprint 4. Let's discuss the specific tech stack you prefer and timelines for each sprint. Which AI LLM models and libraries do you prioritize for ensuring seamless local execution in the Windows app? Thanks, Roshan

@Web1devloper

With a solid background in **Data Analytics & Science, Power BI, Looker and SQL** alongside **8+ years of relevant experience**, I'm confident in my ability to be your **Full-Stack AI Developer** for the SuperAI project. My extensive expertise in **data storytelling, machine learning and dashboard development** will prove invaluable as we work together to create a local-first hybrid AI platform with the core principles of **lifetime pricing sustainability, low cloud infrastructure cost, privacy-focused AI execution, and scalable growth with controlled cloud usage**. Familiarity with the hybrid architecture or **Local LMs**, including **DeepSeek, Qwen and LLaMA**, will provide an unrivaled efficiency in working with these components of SuperAI. Having successfully delivered similar projects before, I'm well-acquainted with the tightrope between optimizing token limits, rate limits and cost control - essential aspects for this project's success. I bring more than just technical skills to the table. My business acumen is evident in my ability to make analytical insights practical for real-world improvements. This aligns perfectly with your long-term vision for SuperAI which extends beyond its 4 sprints. So, allow me to leverage my technical proficiency, experience building ML based applications and installable desktop applications alongside my knack for collaborative problem-solving towards a successful completion of SuperAI project.

@rajmalviyamalviy

Hello, I’m writing to express my interest in the Senior Software Engineer – Node.js & GraphQL role. I have 7+ years of hands-on experience building scalable backend systems using Node.js and GraphQL, including schema design, resolvers, and API optimization. I’ve worked extensively with REST APIs, MongoDB/PostgreSQL, authentication mechanisms (JWT/OAuth), and performance tuning in production environments. I’m comfortable collaborating with cross-functional teams, reviewing code, and mentoring developers. I also have working experience with TypeScript, Docker, and cloud deployments, and I’m available to work remotely during the specified IST hours. Happy to share my resume or discuss further. Best regards, Raj M

@usamaansari786

Hi, With the perfect blend of AI development and Full-Stack expertise, I am confident that I'm the best fit for your SuperAI project. Over the past 5+ years, I've designed and built numerous AI/LLM-based applications, gaining extensive hands-on experience with local LLMs and RAG systems. Having fulfilled similar requirements before, I'm well-versed in installing deep AI features locally and interacting with cloud infrastructures for authentication, payments, and token tracking - precisely what your project entails. Embracing your core architecture rule of a hybrid model with local-first prioritization, I promise to deliver an installable Windows app respecting your guidelines effortlessly. My experience working with Tauri and Electron ensures that you will get precisely what you need on the frontend. On the backend, my proficiency lies with FastAPI and Node.js which will be pivotal to create reliable REST APIs to handle authentication, tokens & usage tracking efficiently. Lets have a chat to discuss your goals Warm regards Usama

@prashjain92

Hello, I have carefully read your complete project description in detail and genuinely appreciate the clarity and seriousness behind building a local first AI platform with long term sustainability in mind. The vision of SuperAI focusing on privacy, controlled cloud usage, and lifetime pricing strongly aligns with how robust AI products should be designed. I am very interested in learning more about your long term roadmap and how you see this platform growing after Sprint four. The structured sprint based approach, Windows installable application requirement, local execution of LLMs, hybrid cloud acceleration, RAG pipelines, token control, and monetization layers are all very well defined. I am confident in delivering this architecture cleanly while respecting performance, cost control, and user experience across all four sprints. Local first AI execution, hybrid cloud acceleration, installable Windows application, RAG powered documents and media tools, token based monetization. I have 7+ years of full stack and AI focused development experience with strong hands on work in local LLMs, RAG systems, desktop applications, and scalable backend services. I handle architecture, development, testing, and sprint delivery end to end with reliability. Let us schedule a quick chat to align your vision and next steps. Best Regards, Prasham Jain

@jonhw5

Hello, thanks for posting this project. I've carefully reviewed your SuperAI roadmap and it's an exciting, ambitious opportunity that closely matches my technical strengths and past work. I have delivered production-grade AI platforms with hybrid local/cloud execution, and bring deep hands-on experience deploying cutting-edge LLMs (DeepSeek, LLaMA, Qwen), SDXL for image generation, and Whisper for speech-to-text, all optimized for desktop environments. I have extensive experience designing retrieval-augmented generation (RAG) pipelines using FAISS/Chroma, and integrating fast onboarding with secure authentication, token metering, and payment flows. Building installable Windows desktop apps using Tauri with a React frontend is my forte, and I am comfortable owning feature delivery sprint-by-sprint as part of a focused, long-term collaboration. I'd be glad to share specific examples of previous LLM apps, local-first AI deployments, and cross-platform productivity tools, and discuss my recommended stack (React + Tauri, Node.js/FastAPI backend, hybrid cloud/local architecture) in detail. I can also provide a transparent breakdown for cost and timeline per sprint as requested. Looking forward to sharing my work and helping make SuperAI the premier privacy-focused hybrid AI platform. Warm regards, Vitalii

@ixorawebmob

Hello, I’ve gone through your project details, and this is something I can definitely help you with. With over 10 years of experience in full-stack development, I specialize in AI applications, including local LLMs and cloud integrations. My extensive background with AI/ML frameworks such as DeepSeek, Whisper, and token-based systems perfectly aligns with the needs of your SuperAI project. I understand the importance of a sustainable architecture for your platform and the need for rigorous sprint planning for seamless deliveries. My team and I focus on clean architecture, scalable code, and transparent communication throughout the project lifecycle. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m eager to ensure the best development approach for your project. Could you clarify your expectations regarding the cloud-level features in the later sprints? What are your expectations regarding the cloud-level features in the later sprints? Let’s discuss this further! Regards, Arpit Jaiswal

@sumitwebrainbows

As an experienced .NET developer with a focus on building installable desktop apps, I believe I can provide immense value in developing your Windows-first application for SuperAI. My 14 years of industry experience have equipped me with strong problem-solving skills, crucial in overcoming challenges that may arise while integrating the proposed core architecture of SuperAI. Moreover, by specializing in technologies like .NET Core, ASP.NET MVC, and Azure, I can ensure efficient development and seamless integration of the hybrid deployment in accordance with your architecture rules. In terms of AI and ML capabilities, my expertise extends to working with local LLMs, RAG systems, and implementing AI-based applications. This directly aligns with your requirement for Dashoard

@Ashnasajid

Hi, I can do this. I have extensive experience in building AI and LLM-based applications, including local LLMs and RAG systems. My background includes developing installable desktop applications for Windows, ensuring a seamless user experience. For SuperAI, I propose using a tech stack of React with Tauri for the frontend, and FastAPI for the backend, leveraging local models like DeepSeek and Whisper for AI functionalities. I understand the importance of token limits and cost control, and I am committed to delivering sprint-wise milestones. I estimate the cost per sprint to be competitive, ensuring quality and timely delivery. I look forward to the opportunity for long-term collaboration beyond Sprint 4. Best regards, Ashnasajid

@ivank141

Most AI platforms fail because they rely too heavily on the cloud and lose control over cost, privacy, and performance. SuperAI’s local-first + metered cloud architecture is exactly how a sustainable AI product should be built — and it’s how I’ve built similar systems. I have hands-on experience deploying local LLMs (DeepSeek / Qwen / LLaMA), SDXL, Whisper, and RAG pipelines (FAISS / Chroma) on consumer hardware, with cloud used only where it adds real value. I understand the constraints: memory, inference latency, token limits, and cost governance. How I would execute this project: • Local inference as default, cloud as an accelerator with hard token caps • Clean separation between local AI services and cloud auth/payments • Windows-first EXE using Tauri for low footprint and stability • Background workers for heavy AI tasks so the UI never blocks • Strict usage tracking and rate-limited cloud routing by design Sprint approach: Sprint-1 delivers a real installable MVP (chat, PDFs, media, auth, payments). Sprint-2 expands education and creator tools with token control. Sprint-3 adds agent workflows with guardrails. Sprint-4 layers enterprise features without breaking local-first principles. Why I’m a fit: • Proven local-LLM and RAG experience • Built installable Windows apps, not just web demos • Strong focus on cost control, privacy, and long-term maintainability I can share relevant AI projects, suggest a refined stack, and provide per-sprint cost estimates immediately.

@abdf2010

Hello there, I reviewed your project Full‑Stack AI Developer / Small Team Needed for Local‑First AI Platform (Windows App, 4 Sprints) and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Cloud Computing, Machine Learning (ML), Full Stack Development and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@TMITServices

Hi Client, With our 9 years of experience at TalentMovers Consulting IT Services, we are honed and ready to tackle your SuperAI project. We have specialized in building Advanced Intelligent applications with provable track records in AI/LLM-based project deliveries, ensuring that all features are properly optimized for heavy AI workloads. We built the capacity to maximize local LLMs and we can also comfortably handle RAG systems, which is a core requirement for your local-first hybrid AI platform. Another essential skill we possess is our clear understanding of token limits, rate limits & cost control -- hence we can guarantee a lifetime pricing sustainability and low cloud infrastructure cost for your SuperAI platform. We understand and resonate with the seriousness and production-grade nature of your project. Our suggestion? Let's bring on board our hands-on experience with DeepSeek / Qwen / LLaMA for the local First-Primary aspect of the project, adding value by ensuring optimal functionality in PDF upload & smart summary, PDF → Q&A, PDF → Notes functionalities (using SDXL) and more. As you mentioned, this is not an ordinary project. It's unique and requires expert handling - we believe we are the perfect fit because unlike others, we don't just code -- we build what matters. Remember; we don't code just to complete your project - rather to achieve business objectives hence driving business growth.

@Appexoft

Hi, I’m a Lead AI / Full-stack Engineer with strong hands-on experience building local-first LLM apps, hybrid AI architectures, and installable Windows desktop applications. I’ve shipped production systems using local LLMs (LLaMA/Qwen/DeepSeek), RAG with FAISS/Chroma, Whisper, and SDXL, with strict cost and token control on optional cloud acceleration. SuperAI’s INSTALL + HYBRID approach and sprint-based delivery match exactly how I build scalable, sustainable AI products. I’d be happy to lead implementation across all sprints and continue long-term. Best regards, Nazarii

@manasranjanm3

Hello, I’m a Senior AI/ML Architect and Full-Stack Developer with hands-on experience building AI-enabled full-stack applications in small, fast-moving teams. I’ve delivered production systems combining local AI processing, cloud services, desktop applications, and scalable backends. For this project, I can: Build a Windows-installable application (Tauri/Electron) with smooth UX and high performance. Implement local and hybrid AI workflows, including LLMs, RAG (FAISS/Chroma), and optional STT/TTS. Develop a robust backend using FastAPI or Node.js for auth, payments, usage tracking, and APIs. Deliver features incrementally in sprints, with working builds and clear validation at each stage. Ensure clean architecture, documentation, and deployment readiness. I focus on practical engineering, clean APIs, privacy-aware AI design, and maintainable code, ensuring the product is reliable and scalable. I’m comfortable working end-to-end — from UI to AI logic to backend services — and collaborating closely with small teams. Let’s discuss your priority features, preferred stack, and delivery timeline so we can align milestones with your goals and budget. Best regards, Manas Ranjan Mohanty

@anasshahid0894

As an AI Developer specializing in long short-term memory (LLM)-based applications just like SuperAI, I am the ideal choice for your Windows-first hybrid AI platform. For instance, I developed a multi-company QuickBooks integration platform that automated invoice and payment syncing across multiple accounts securely. This is just one example of how my work aligns perfectly with your goals of lifetime pricing sustainability and low cloud infrastructure cost. I am well-versed in working with LLMs such as DeepSeek, Qwen and LLaMA which are the core components of SuperAI. Moreover, my experience includes building installable desktop applications like the Tauri or Electron- based wrapper you specified. Lastly, token and cost control is at the heart of effective implementation which I ensure through my clear understanding of token limits, rate limits & costing. Choosing me can guarantee an impactful and successful collaboration that transcends your present needs into a long term relationship. My proactive communication style, fast response time and focus on technical partnerships are precisely what you need to execute this ambitious project within the stipulated timeframe. Let's schedule a discussion and see how we can partner to build SuperAI beyond expectations!

@tashi12345

With my diverse and extensive experience in AI development, specifically with AI agents and LLM-driven systems, I am uniquely positioned to oversee the creation of SuperAI from start to finish. My past projects mirror the complexity and ambition of this venture, having built significant and intricate software platforms for major clients like Swisscom. I have a deep understanding of the required local LLMs (DeepSeek, Qwen, LLaMA), as well as with image generation (SDXL), speech-to-text (Whisper) and RAG systems (FAISS, Chroma). I'm confident that my approach to balancing local and cloud-based AI workloads will ensure optimum performance in terms of cost, privacy, and scalability - key attributes for SuperAI. In terms of architecture, I am very familiar with both Tauri and Electron technology stacks which would cater to your need for a Windows-first installable application. Security is a priority while developing such systems which is why I believe my skills in user authentication & authorization will make me an ideal candidate for your project. My experience in payment integration through platforms like Stripe and Razorpay is another advantage that would greatly facilitate setting up the subscription model and token-based usage system you seek. Moreover, I have a proven record of adhering to timelines, meeting sprint milestones and ensuring high quality deliverables on each phase.