You will get a custom AI feature integrated into your web app or API
Project details
Add intelligent, production-ready AI capabilities to your web app or API. I build fast, robust LLM integrations that deliver real utility without latency issues or high token costs.
What I build:
• Custom AI Assistants & Chatbots (OpenAI API, Groq / Llama models).
• Tool Use & Function Calling (Connecting LLMs to your database or custom actions).
• RAG & Semantic Search (Vector search via Qdrant or Supabase pgvector).
• Data Processors (Smart summarization, data extraction, JSON schema outputs).
• High-Performance Endpoints (FastAPI, Next.js API routes, SSE streaming responses).
Deliverables include clean code, environment config setup, and end-to-end testing.
What I build:
• Custom AI Assistants & Chatbots (OpenAI API, Groq / Llama models).
• Tool Use & Function Calling (Connecting LLMs to your database or custom actions).
• RAG & Semantic Search (Vector search via Qdrant or Supabase pgvector).
• Data Processors (Smart summarization, data extraction, JSON schema outputs).
• High-Performance Endpoints (FastAPI, Next.js API routes, SSE streaming responses).
Deliverables include clean code, environment config setup, and end-to-end testing.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Understanding, Synthetic Data GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Gradio, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 3 | 15 |
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
+$25 - $100
Additional Revision
+$20Frequently asked questions
About Saleh
Full-Stack Software Engineer | AI Integration & Real-Time Systems
Abu Dhabi, United Arab Emirates - 8:43 am local time
Recent work includes a real-time fraud detection engine (Redis Pub/Sub streaming, an XGBoost model exported to ONNX for sub-millisecond inference, live WebSocket dashboard) and a multi-agent AI system for automated contract review (RabbitMQ-orchestrated agents, human-in-the-loop approval, vector-based long-term memory with Qdrant).
Services I offer:
- AI Integration: LLM-powered chatbots, function calling, multi-agent pipelines (Groq, OpenAI)
- Full-Stack Development: Next.js, React, FastAPI, Supabase/PostgreSQL
- Real-Time Systems: WebSockets, Redis Pub/Sub, live dashboards
- Machine Learning: model training, ONNX deployment, predictive analytics
- Data Automation: Python scripting, web scraping, ETL pipelines
I care about shipping things that actually work end-to-end, not just prototypes. Every project I list below is live and deployed, not just a local demo.
Steps for completing your project
After purchasing the project, send requirements so Saleh can start the project.
Delivery time starts when Saleh receives requirements from you.
Saleh works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Prompt Setup
Review your requirements, define schemas/prompts, and select the optimal model & vector store.
Integration & Pipeline Implementation
Build the API endpoints, implement tool calling/RAG logic, and connect frontend streaming.