You will get a Custom Multimodal RAG Application Developed with OpenAI and LangChain

Bechir B.Status: Offline
Bechir B. Bechir B.
4.9
Top Rated

Let a pro handle the details

Buy Web Application Programming services from Bechir, priced and ready to go.
Bechir B.Status: Offline
Bechir B. Bechir B.
4.9
Top Rated

Let a pro handle the details

Buy Web Application Programming services from Bechir, priced and ready to go.

Project details

I will build a custom RAG (Retrieval Augmented Generation) application using OpenAI and LangChain that lets you query your private data with accurate, context-aware AI responses.

This solution is ideal for AI chatbots, internal knowledge bases, customer support assistants, or SaaS features, and is designed to be secure, scalable, and production-ready.

What you get:
➤ Custom RAG pipeline with OpenAI + LangChain
➤ Private data ingestion (PDFs, Docs, DBs, URLs)
➤ Vector database setup (Pinecone / Qdrant / Weaviate)
➤ Reliable, grounded AI responses
➤ Clean API-based backend

🎁 Free Bonus: I’ll review your use case and recommend the best RAG architecture before we start.

📩 Send your data source and goal to get started.

MESSAGE ME TO GET STARTED FOR FAST DELIVERY
Programming Languages
JavaScript, Python, Java
Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, Security
What's included
Service Tiers Starter
$102
Standard
$252
Advanced
$502
Delivery Time 3 days 5 days 8 days
Number of Revisions
222
Design Customization
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Content Upload
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Responsive Design
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Source Code
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4.9
7 reviews
100% Complete
1% Complete
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NA

Norah A.
5.00
May 23, 2026
Arabic sentiment analysis using LLMs متفهم للعمل ويعمل بطريقة منهجية علمية صحيحة

RA

Rashed A.
5.00
May 9, 2026
Applied Data Science Bechir completed the whole US course program with his expertise, professionalism, and attention to detail truly stood out throughout the entire project. He not only delivered high-quality work, but also went above and beyond to ensure everything was completed perfectly and on time.

AG

Abdulrahman G.
5.00
Dec 14, 2025
Simple Arabic NLP – QARiB Fine-Tuning Project (University Term Project) Although the project title included the word “Simple”, the actual work was far from simple.
Bechir handled the project with a high level of professionalism and strong technical expertise.

Bechir delivered a high-quality academic NLP project with strong technical depth.
The methodology, experiments, and results were clearly explained and well structured, in a style very close to real academic research papers.

He was responsive, cooperative, and willing to revise the work to align with detailed requirements fully.

He is honest, dedicated, and reliable, and I would gladly work with him again.

ZI

Zaid I.
4.65
Aug 20, 2025
Autocomplete Metadata Suggester

HS

Hexersoft S.
5.00
Aug 10, 2025
AI Configuration Specialist for Document Data Extraction Bechir delivered an exceptional performance on our project, and he has my highest recommendation. He possesses a profound and practical expertise in his domain, consistently demonstrating a remarkable ability to translate that knowledge into effective, tangible results.

His adaptability and quick grasp of new concepts made him an invaluable asset from day one. Collaboration was seamless, thanks to his unwavering reliability and clear, proactive communication. Throughout the project, Bechir consistently submitted high-quality work, always respecting deadlines.

I unreservedly recommend Bechir to any organization seeking a top-tier professional who is not only highly skilled but also incredibly dependable. He would be a tremendous asset to any team.
Bechir B.Status: Offline

About Bechir

Bechir B.Status: Offline
AI/ML Engineer | Data Scientist | Machine Learning, Deep Learning, NLP
100% Job Success
4.9  (7 reviews)
Tunis, Tunisia - 5:31 am local time
AI/ML Engineer specializing in Data Science, Machine Learning, Deep Learning, Data Analytics.

🌍 Available across US, Canada, France, Australia, Middle East
📚 Publications:
@Bechir Ben Tekfa, et al., DEXA 2025: Advanced Defect Detection in Industrial Imaging
@Bechir Ben Tekfa, et al., KES 2025: Hybrid AI Systems for Renewable Energy Inspection
⏱️ 300+ billed hours delivering multi-domain AI & ML systems
I design, implement, and deploy intelligent systems across multiple domains: computer vision, LLMs, time-series, audio, graph-based reasoning, and AI-driven automation. My focus is on real-world constraints, building robust, scalable, multi-modal systems that solve complex problems at once.

🧪 Core Expertise & Research Domains

1️⃣ Computer Vision & Visual Intelligence

• Defect detection, anomaly localization, and automated inspection
• Multi-modal inputs (EL, IR, RGB) with noise, bias, and real-world variability
• Object detection, segmentation, hybrid CNN-attention architectures
• Weakly supervised, long-tail, and low-data regimes
• Multi-scale feature fusion, interpretability, and error analysis
• Deployment-aware models for real-time, edge, and constrained devices

2️⃣ Machine Learning Foundations

• Supervised, semi-supervised, self-supervised, representation learning
• Time-series modeling, anomaly detection, forecasting
• Graph-based learning, relational reasoning, and knowledge graphs
• Mathematical rigor: optimization, regularization, uncertainty, generalization
• Classical ML + deep learning hybrids for structured and unstructured data

3️⃣ LLMs & Reasoning Systems

• Multi-step reasoning and orchestration pipelines
• Retrieval-Augmented Generation (RAG) for domain-specific knowledge
• AI agents for decision-making, planning, and automation
• Reliability, hallucination control, evaluation, and system boundaries

4️⃣ Audio & Signal Processing

• Speech-to-Text (STT) and Text-to-Speech (TTS) integration
• Spectral, temporal, and multi-modal embeddings
• Cross-modal pipelines (audio + vision + text)

5️⃣ AI-Driven Automation & Orchestration

• Web scraping and data collection (Selenium, Scrapy, BeautifulSoup)
• Workflow automation and orchestration (n8n, Twilio, Zapier-like pipelines)
• Automated labeling, ETL workflows, ML pipeline orchestration
• Continuous data ingestion and pre-processing for multi-domain AI systems
• CI/CD, experiment tracking, reproducibility, and monitoring

6️⃣ Edge AI & Deployment Systems

• NVIDIA Jetson and resource-constrained inference
• Model optimization: pruning, quantization, TensorRT, ONNX
• Dockerized deployments for reproducibility and scalability
• Latency, memory, and energy trade-off analysis

🧰 Technical Stack

AI / ML: Python, PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API
Computer Vision & Signals: CNNs, Detection, Segmentation, Spectral Features
LLMs & Automation: RAG, Agents, Orchestration, Evaluation Pipelines
Data & Systems: Pandas, NumPy, SQL, PySpark, ETL pipelines
Automation & Integration: Selenium, Scrapy, BeautifulSoup, n8n, Twilio
Deployment & MLOps: Docker, ONNX, TensorRT, Jetson, CI/CD pipelines

Steps for completing your project

After purchasing the project, send requirements so Bechir can start the project.

Delivery time starts when Bechir receives requirements from you.

Bechir works on your project following the steps below.

Revisions may occur after the delivery date.

AI integration

Review the work, release payment, and leave feedback to Bechir.