You will get a scalable AI-powered Full Stack SaaS app.
Top Rated
Project details
I create fully functional, AI-powered SaaS apps that are scalable, secure, and cloud-ready. Every feature is thoughtfully implemented to ensure smooth performance, easy maintenance, and a production-ready system you can rely on.
Programming Languages
HTML & CSS, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included $6,000
These options are included with the project scope.
$6,000
- Delivery Time 60 days
- Number of Revisions 3
- Number of Pages 15
- Design Customization
- Content Upload
- Responsive Design
- Source Code
10 reviews
(10)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
SP
Sreeja P.
May 2, 2025
Senior Software Engineer
SP
Sreeja P.
Jun 28, 2024
Senior Software Engineer
SD
Socorro Pia D.
Nov 7, 2022
Sr. Fullstack React Native - Django Developer (tup-fs-1)
QY
Qumars Y.
Apr 18, 2022
NodeJS Developer with 3 years Experience required
ZD
Zach D.
Oct 19, 2021
Ruby Scraper
Anas was a pleasure to communicate with throughout the process. While we didn't end up working together for reasons outside his control, I would reach out to him again in the future.
About Anas
Full-Stack Developer | MEAN | MERN | Python | AI/ML | Django
100%
Job Success
Lahore, Pakistan - 10:16 am local time
I’ve worked with startups, enterprise clients, and product teams to build full-stack solutions from scratch, modernise legacy systems, and bring AI-first products to life using cutting-edge technologies. Whether it’s designing system architecture, leading complex API integrations, or crafting pixel-perfect UI. I bring both strategic and technical ownership to every project.
🔧 My Core Expertise:
Frontend: React.js, Next.js (13+), TypeScript, Tailwind CSS, Chakra UI
Backend: FastAPI, Node.js (Express/Nest), Django, Ruby on Rails.
AI / LLM Integration: LangChain, OpenAI (GPT-4), Anthropic Claude, Pinecone, RAG systems
Database: PostgreSQL, MongoDB, Supabase, Firebase, Redis
Infra & DevOps: Docker, Vercel, Railway, AWS (ECS, Lambda, S3), CI/CD pipelines
Tools: tRPC, Stripe, Supastarter, Cursor IDE, Playwright (browser automation), GitHub Actions.
🧠 AI & Agentic Experience:
Over the last 3+ years, I’ve specialised in LLM-backed applications — including research agents, autonomous workflows, document parsing, and GPT-based chat systems. I’ve built retrieval-augmented generation (RAG) pipelines, vector search indexing with Pinecone, and real-time LLM interfaces using LangChain and FastAPI.
💡 Projects like HeyEve.ai (AI-powered legal training assistant) and GPT-enabled dashboards for internal tools reflect my deep understanding of AI system design, prompt architecture, and seamless frontend-to-LLM interaction.
✅ Why Clients Work With Me:
10+ years of battle-tested experience in full-stack and AI product delivery
Strong communication, async-friendly, and proactive problem-solver
Familiar with fast-paced startup environments and MVP-to-scale roadmaps
I read documentation thoroughly, ask smart questions early, and deliver well-tested code
Available for daily standups and Jira/GitHub-based workflows
✅ Why Clients Work With Me:
10+ years of battle-tested experience in full-stack and AI product delivery
Strong communication, async-friendly, and proactive problem-solver
Familiar with fast-paced startup environments and MVP-to-scale roadmaps
I read documentation thoroughly, ask smart questions early, and deliver well-tested code
Available for daily standups and Jira/GitHub-based workflows.
Steps for completing your project
After purchasing the project, send requirements so Anas can start the project.
Delivery time starts when Anas receives requirements from you.
Anas works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering & Planning
We’ll discuss your project goals, features, tech stack preferences, and desired outcomes to create a clear roadmap.