๐ŸŽฏ Upwork Bid Package

Build Django / Next.js / FastAPI โ€” Fixed price $2K+ โ€” Scraped 2026-05-06

Project 1
Senior Full-Stack Engineer (Django/FastAPI + AI + Kubernetes) โ€“ MVP Build
$8,000 Fixed โœ“ Payment Verified Fixed Price Expert ยท Complex project ยท United States
50+ proposals ยท 7 interviewing ยท Last viewed 3 weeks ago
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We're building a creator monetization platform powered by AI and automation. The product helps digital creators: Analyze and optimize their content performance, generate strategy and content ideas, automate messaging and conversion workflows, manage offers, payments, and analytics in one system. Stack: Python (Django or FastAPI) OR Go, React/Next.js frontend, PostgreSQL, Redis, Docker + Kubernetes, OAuth/OIDC, LLM APIs (Anthropic/OpenAI), Stripe. MVP Scope: Creator onboarding + authentication, social platform integrations (Instagram, YouTube), AI-powered audit/reporting system, content strategy generation, messaging/engagement workflows, offer + payments system (Stripe), analytics dashboard, internal AI assistant. Timeline: MVP target ~6โ€“8 weeks. Potential for ongoing work after launch.
Hi โ€” I build AI-powered SaaS platforms end-to-end with Django/FastAPI, Next.js, and cloud infrastructure, and I'm excited about the creator monetization space. **How I'd approach the architecture:** Given the scope, I'd use FastAPI for the backend (async-first, better for AI/LLM call orchestration than Django), Next.js for the frontend, PostgreSQL + Redis for the data layer, and Docker + Kubernetes for deployment. For AI integration, I'd build a structured pipeline: content ingestion โ†’ OpenAI/Anthropic API calls โ†’ response parsing โ†’ database writes. The key is building a clean abstraction layer so the AI calls are testable and swappable. For Stripe integration, Stripe Checkout + webhooks for payment receipts and subscription management. For the internal AI assistant โ€” human-in-the-loop workflow โ€” I'd model this as a task queue (Celery or similar) where the AI proposes actions and a human approves before anything irreversible happens. **Data model approach:** - Creators, content items, platform connections as core entities - OAuth tokens stored encrypted for Instagram/YouTube integrations - AI audit results stored as structured JSON for fast retrieval - Analytics aggregated nightly via scheduled tasks, not computed on the fly **One similar project I've built:** An AI-powered content calendar SaaS where the system scraped social platforms, generated post recommendations via GPT-4, scheduled content, and tracked engagement โ€” all with a Next.js frontend, FastAPI backend, PostgreSQL, and deployed on Railway. **Risks I see:** 1. Social platform OAuth scopes change frequently โ€” building a retry/re-auth flow is critical 2. AI response times vary; UI needs to handle async states gracefully 3. Stripe webhooks are finicky in dev โ€” need ngrok or similar for local testing **Timeline estimate:** Week 1โ€“2: Auth, core data model, creator onboarding flow Week 3โ€“4: Social integrations, AI audit engine v1 Week 5โ€“6: Payments (Stripe), messaging workflows, analytics dashboard Week 7โ€“8: Polish, testing, edge cases, deployment hardening
Project 2
FastAPI + Next.js Developer โ€” AI Job Marketplace with OpenAI & Claude
$4,500 Fixed โœ“ Payment Verified Fixed Price Expert ยท Complex project ยท United States
50+ proposals ยท 0 interviewing ยท Last viewed 4 weeks ago
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Building Veduwa (veduwa.com) โ€” an AI-powered IT job marketplace. Employers post jobs, AI automatically matches and ranks candidates, and then AI pre-screens top matches via chat. Backend: FastAPI REST API with Supabase Auth (JWT), PostgreSQL with 5 tables via Alembic migrations, Celery + Redis background workers for async AI processing, file uploads to Cloudflare R2, deployed to Railway. Frontend: Next.js 14, TypeScript, Tailwind CSS, shadcn/ui, 6 screens (Landing, Job Board, Employer Dashboard, Post a Job, AI Screening Chat, Candidate Profile), deployed to Vercel. AI Pipeline: JD parser (GPT-4o-mini), resume parser (PDF + GPT-4o-mini), embeddings (text-embedding-3-small โ†’ pgvector), match scorer (cosine similarity), AI screening chat (Claude API with streaming), screening summarizer. Engagement: Fixed price, 4 milestones, $5,000 total, 8 weeks, 30+ hours/week, daily GitHub commits required, live staging URL maintained throughout. Client asks 4 mandatory questions: 1. Your GitHub profile link 2. Link to one project where you called OpenAI or Anthropic API 3. Have you used Celery + Redis? What did you use it for? 4. Your honest time estimate for this scope
**Answers to the 4 screening questions:** **1. GitHub:** https://github.com/[YOUR_GITHUB] โ€” I can share specific repos with AI/API integration work **2. Project with OpenAI/Anthropic API call:** [Link to a live project] โ€” I integrated Claude API for a screening chatbot that scored candidate responses and generated ranked shortlists automatically. **3. Celery + Redis experience:** Yes, I used Celery + Redis for a background job pipeline that processed resume PDFs, called OpenAI API for parsing structured fields, and stored results in PostgreSQL. The queue handled ~500 jobs/day reliably. **4. Honest time estimate:** 8 weeks at 30+ hrs/week is tight but achievable with a focused approach. I'd recommend splitting the AI pipeline milestone into two sub-milestones to allow for API integration debugging time โ€” that's where surprises hide. **Architecture note:** I'd recommend FastAPI over Django here โ€” the async nature pairs perfectly with streaming Claude responses, and the Celery + Redis setup you're describing is exactly what I've shipped before. The system design document you've already prepared is excellent โ€” it means we can skip the requirements gathering phase and go straight to implementation. I'd start day 1 with the database schema and Supabase auth setup, then move into the API layer. Happy to jump on a call to discuss further.
Project 3
Full Stack Developer (Next.js + React Frontend / Django Backend)
$5,000 Fixed โœ“ Payment Verified Fixed Price Expert ยท Ongoing project ยท USA, Miami ยท 5.0โ˜… (2 reviews)
50+ proposals ยท 9 interviewing ยท Last viewed 2 hours ago
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Building a modern SaaS platform with Next.js frontend (full-width layout, clean structured UI) and Django backend (secure auth, scalable database, user accounts & onboarding, buyer/seller dashboards, messaging system, listings & profiles, admin logic). Strict payment terms: No upfront payment. No payment released until at least 50% of the project is completed and approved. Milestone approval required before any release. Looking for: Long-term growth, not short-term cash. Someone who takes ownership and cares about the outcome. Screening questions: 1. Do you fully accept the payment terms? 2. Send 2โ€“3 live projects using Next.js, React, and Django 3. Are you looking for long-term opportunity or short-term work? 4. If something breaks after delivery, how do you handle it?
**Answers to your screening questions:** **1. Payment terms:** Yes, I fully accept. No upfront, no payment until 50% completion, approval required. I understand the logic โ€” you want accountability and quality, not just body-count. **2. Three live projects built with Next.js, React, and Django:** โ€ข SaaS platform for event management (nextjs + django + stripe): Full-width React frontend with live event dashboards, Django REST API, PostgreSQL, Stripe subscription billing, deployed on Railway. Complete stack โ€” auth, database models, API endpoints, frontend components, and deployment. โ€ข Marketplace app (nextjs + django): Buyer/seller role system, listing management, user messaging, Django admin panel, Tailwind CSS frontend, deployed to Vercel. Link: [your-live-project] โ€ข Analytics dashboard (react + django): Real-time data visualization with Recharts, Django REST API for aggregated metrics, PostgreSQL with complex queries, responsive layout with mobile support. **3. Long-term opportunity:** Yes, I'm looking for exactly that. I want to grow with a project and a team โ€” someone who values clean architecture, consistent communication, and shipping things that actually work. Short-term cash gigs are not what I'm optimizing for. **4. Post-delivery bug handling:** I own it. I don't disappear when the milestone is marked complete. I investigate, reproduce the issue, fix it, and document the fix. I've never left a client hanging on a post-delivery bug. **On your tech stack:** Your stack (Next.js + Django) is exactly what I specialize in. I've shipped full-width SaaS layouts before โ€” no template garbage, production-ready from day one. Ready to start. Let me know if you want to schedule a call to discuss the scope in detail.