You will get a AI Product MVP in 2 weeks
Project details
You will get a fully functional, AI-powered MVP delivered in 2 weeks. I specialize in building fast, production-ready MVPs that integrate advanced AI features (LLMs, embeddings, vector databases, classification models, and more) with robust frontend and backend systems.
With over 30 AI product builds delivered in the past 2 years — spanning industries like SaaS, fintech, healthtech, and e-commerce — I understand what it takes to ship early-stage products that can demo well, validate ideas, and scale if needed.
What’s included:
・Product planning & architecture (based on your brief)
・Frontend development (React / React Native / Next.js)
・Backend with DB (Supabase, Firebase, or Node/Express)
・AI feature integration (OpenAI, Claude, Gemini, Pinecone, etc.)
・Authentication, roles, file handling, chat, etc. as needed
・Production deployment (Vercel, Firebase, or custom)
・Loom walkthrough + 7–14 day post-delivery support
The code is clean, documented, and yours to scale or hand off. You’ll leave with a working, deployed product ready for demos, early users, or investor conversations.
With over 30 AI product builds delivered in the past 2 years — spanning industries like SaaS, fintech, healthtech, and e-commerce — I understand what it takes to ship early-stage products that can demo well, validate ideas, and scale if needed.
What’s included:
・Product planning & architecture (based on your brief)
・Frontend development (React / React Native / Next.js)
・Backend with DB (Supabase, Firebase, or Node/Express)
・AI feature integration (OpenAI, Claude, Gemini, Pinecone, etc.)
・Authentication, roles, file handling, chat, etc. as needed
・Production deployment (Vercel, Firebase, or custom)
・Loom walkthrough + 7–14 day post-delivery support
The code is clean, documented, and yours to scale or hand off. You’ll leave with a working, deployed product ready for demos, early users, or investor conversations.
What's included
| Service Tiers |
Starter
$3,500
|
Standard
$5,900
|
Advanced
$9,500
|
|---|---|---|---|
| Delivery Time | 3 days | 14 days | 20 days |
Number of Revisions | 2 | 3 | 3 |
AI Model Integration | - | ||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | ||
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | |
Natural Language Processing | - | ||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | - | ||
Setup File | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$200 - $2,500
Additional Revision
+$500Frequently asked questions
9 reviews
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KD
Kimberly D.
Sep 25, 2025
AI developer
AB
Anil Babu B.
Jul 19, 2025
Agentic ai based RAG Enhancement System Development
**Feedback for Freelancer:**
Unfortunately, my experience working with this freelancer was extremely disappointing. The delivered solution only worked during milestone payment phases. Post-payment, the system became unstable and unreliable.
The freelancer lacked sufficient expertise in handling Ollama RAG parallelization. Despite running on an A100 GPU with 40GB VRAM and 256GB RAM, the setup could barely handle a single Ollama query reliably. Claims of scalability were not substantiated in practice.
The GROQ-based RAG implementation was inconsistent—working randomly like a lottery. Some days it would function, other days it would completely fail without explanation or resolution.
I **do not recommend** working with this individual for any production-level GenAI or RAG deployment. Future engagements should **tie the final milestone payment to a minimum of one month of stable performance**, verified through real-world usage and stress testing.
Unfortunately, my experience working with this freelancer was extremely disappointing. The delivered solution only worked during milestone payment phases. Post-payment, the system became unstable and unreliable.
The freelancer lacked sufficient expertise in handling Ollama RAG parallelization. Despite running on an A100 GPU with 40GB VRAM and 256GB RAM, the setup could barely handle a single Ollama query reliably. Claims of scalability were not substantiated in practice.
The GROQ-based RAG implementation was inconsistent—working randomly like a lottery. Some days it would function, other days it would completely fail without explanation or resolution.
I **do not recommend** working with this individual for any production-level GenAI or RAG deployment. Future engagements should **tie the final milestone payment to a minimum of one month of stable performance**, verified through real-world usage and stress testing.
AR
Andrea R.
Jun 5, 2025
Prototype Development for AI in Insurance Knowledge
VG
Vibha Singh G.
May 21, 2025
Expert AI Software Developer for RAG Implementation
SC
Shenny C.
May 16, 2025
AI-Powered Recruitment Tool to Headhunt from GitHub & Match with LinkedIn
Raj was amazing to work with! He's a really strong freelancer – great communication, always on top of things, and super helpful in breaking down complex technical concepts. He delivered a great plan for a tricky project and kept me in the loop throughout the whole process. Raj is very proactive and a strong owner, he did a lot of his own research to learn and understand the basic concepts of what's required for this project. I would highly recommend him, and more than happy to work with him again!
About Gopinath
Generative AI Engineer + Full Stack Developer
82%
Job Success
Colombo, Sri Lanka - 9:07 pm local time
My Expertise includes:
・Building Agentic applications and workflows (AI-agents)
・Prompt engineering (across all state of the art models)
- Using models like GPT-4.5, o1, Claude 3.5 and 3.7 Sonnet, Gemini, Llama models
・Using and deploying open source models
・Fine-tuning models to reach accuracy level required for a certain domain
・Building scalable backend for real-time (streaming) applications
・Scalable APIs and database architectures.
Technical Toolkit:
Proficient in Python, AI frameworks, and cloud platforms like AWS.
Skilled in developing full-stack AI applications that are both powerful and user-friendly.
Proven experience:
Built a AI document automation platform used by 1000+ businesses
- AI agents that do deep research (using its own browser and its own custom databases)
- Use of multiple state of the art general + reasoning models (like o1, gemini, Claude 3.5 & 3.7 Sonnet)
- Scalable and works autonomously and seamlessly for 1000+ users
- Prompting all different models the right way to get the desired output
- Using agentic frameworks (like Langchain, Langgraph, Crew AI, Autogen) & building own framework
Built a AI calendar scheduling assistant:
- AI agents that can connect to users calendar, and manage their schedule with minimal inputs
- Multiple Autonomous AI workers for the reminders and analysing depending on user's schedule
- Can have real conversation with AI - Human conversation regarding schedules
- Reduced meeting delays by 50% for all users
I understand the struggles and importance of using AI in building products. Which gives me a very good idea on helping you with building an accurate, reliable, scalable and seamless AI product.
Steps for completing your project
After purchasing the project, send requirements so Gopinath can start the project.
Delivery time starts when Gopinath receives requirements from you.
Gopinath works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Strategy Call
We’ll have a call to refine the project scope, define the core use case, determine the necessary AI features, and finalize the tech stack. This ensures alignment before starting any work.
UI/UX Mockups & Architecture
I’ll create the user interface wireframes and design the data architecture. This phase includes the flow of user interactions and defining how the AI integrates into the product.