You will get Automatic Research Assistant with Report Generation


Project details
Apart from developing multipart agentic systems that respect your latency and storage constraints; there are a few specific aspects that differentiates the systems I build from others; that is, these systems are inherently agnostic and modular.
Such features allow you to change the models used in the system any time you want without a need to rewrite the prompts for maximum performance, since you would just have to make an optimization run and the whole system would optimize itself.
The modular design allows easy modification of the system by swapping parts in and out and re-optimizing the whole system afterward for best performance fairly easily.
Such features allow you to change the models used in the system any time you want without a need to rewrite the prompts for maximum performance, since you would just have to make an optimization run and the whole system would optimize itself.
The modular design allows easy modification of the system by swapping parts in and out and re-optimizing the whole system afterward for best performance fairly easily.
What's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 3 | 5 | 8 |
Graph or Table Creation | - | - | - |
Formatting & Clean Up | - | - | - |
Professional Journal Citations | - | - | - |
Summary | - | - | - |
Optional add-ons
You can add these on the next page.
Content Upload
(+ 1 Day)
+$50
Human in the loop
(+ 1 Day)
+$75About Abdel-Dayane
AI Engineer | RAG, Prompt Optimization, Agent Orchestration
Cotonou, Benin - 5:36 am local time
I am an AI Engineer experienced in developing GenAI systems powered by LLMs.
I build production-ready agentic AI systems, taking projects from idea to product deployment with a focus on reliability, and real business impact.
🚀 What I Do Best (Skills & Services):
- Custom AI Chatbots & Virtual Assistants → ChatGPT-powered bots with DSPy, LlamaIndex or Langchain + RAG pipelines, integrated with private data.
- Develop AI Automation Workflows
- Efficient Document Ingestion Pipeline for your documents,
- Hybrid Semantic Retrieval systems,
- Automatic Prompt Optimization for your task instead of brittle manual prompt engineering,
- Model-agnostic Agentic Systems,
- Production grade backend for your application via efficient FastAPI endpoints
🚀 Highlighted Projects (from my portfolio)
* AI Deep Research Assistant → Multimodal LLM + RAG for doc retrieval, prompt agnostic, automatic prompt optimization and custom chatbot front-end.
* AI-Powered Resume Screening → NLP-based resume matcher
🌟 Why You Should Hire Me
✅ Clean code, optimized models, rigorous testing, on-time delivery
✅ Scalable and production-ready solutions
✅ Business Value → I build AI that solves real-world problems, not just prototypes
✅ Reliable Partner → Transparent communication, keep the client updated with progress
📌 Whether you need an AI chatbot, OCR pipeline, creative AI system, or a full SaaS product, I’ll help bring your vision to life with robust, production-ready AI.
🔗 Let’s connect and discuss how we can transform your ideas into powerful AI-driven solutions.
Steps for completing your project
After purchasing the project, send requirements so Abdel-Dayane can start the project.
Delivery time starts when Abdel-Dayane receives requirements from you.
Abdel-Dayane works on your project following the steps below.
Revisions may occur after the delivery date.
Establish fast input acquisition and formatting for the system (Llamaindex)
Develop efficient data ingestion for semantic retrieval
In this step I build an efficient embedding database. The nature of the database will depend on the needs of the project (storage availability, latency requirements). The techniques I use range from dense embedding to fmulti-vector embeddings.