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You will get AI Learning Platform | LLM | RAG | Personalized Learning
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Project details
I build cutting-edge AI-powered personalized learning platforms that combine Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to deliver tailored educational experiences. My solutions adapt dynamically to each learner’s goals and preferences, making learning more effective and engaging. With a focus on scalable, user-friendly design and robust backend architecture, I help edtech startups and enterprises bring innovative AI-driven education to life.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,500
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 10 days | 15 days | 20 days |
Number of Revisions | 2 | 4 | 8 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
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DJ
Daniel J.
Oct 10, 2025
AI Application Development: RAG + LLM for complex document generation from multiple sources
Saurabh and his team were excellent to work with on a complex AI development project involving RAG and LLM integration. They brought strong technical knowledge, good communication, and professionalism throughout. The project involved sophisticated architecture and multi-step testing, and the team managed these requirements effectively.
Highly recommended for AI, data processing, and intelligent automation projects.
Highly recommended for AI, data processing, and intelligent automation projects.
FP
Franck P.
Jun 30, 2025
AI Agent Enhancements and Bug Fixes for Educational Tablet Rental Platform
About Saurabh
Expert AI Architect | Agentic Workflows (OpenClaw/Clawdbot)| RAG & LLM
100%
Job Success
Pune, India - 8:51 am local time
With 7+ years of experience, I bridge the gap between "standard AI" and "Autonomous Execution." I don't just build chatbots; I build 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 that handle complex business logic, reduce token costs, and execute real-world tasks.
I specialize in integrating the latest open-source breakthroughs like 𝐎𝐩𝐞𝐧𝐂𝐥𝐚𝐰 (𝐟𝐨𝐫𝐦𝐞𝐫𝐥𝐲 𝐂𝐥𝐚𝐰𝐝𝐛𝐨𝐭) into traditional Enterprise AI stacks involving 𝐑𝐀𝐆, 𝐍𝐋𝐏, 𝐚𝐧𝐝 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧.
𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 & 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬
1. 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬: Specialists in OpenClaw and Clawdbot for building "AI Employees" that can navigate file systems, manage browsers, and interact with messaging apps (WhatsApp/Telegram).
2. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐑𝐀𝐆 & 𝐃𝐚𝐭𝐚: Implementation of GraphRAG and Agentic RAG to solve the "hallucination" problem in complex technical, legal, and medical documents.
3. 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Designing "Digital Assembly Lines" using CrewAI, LangGraph, and AutoGen, where specialized agents collaborate to finish 10-step workflows.
4. 𝐒𝐦𝐚𝐥𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐒𝐋𝐌𝐬): Optimizing high-volume tasks using Phi-3, Llama 3 (8B), and Mistral to cut API costs by up to 60%.
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤
- 𝐀𝐠𝐞𝐧𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: OpenClaw (Clawdbot), LangGraph, CrewAI, AutoGen.
- 𝐂𝐨𝐫𝐞 𝐀𝐈/𝐌𝐋: RAG Pipelines, NLP, LLM Fine-Tuning, Prompt Engineering.
- 𝐋𝐋𝐌𝐬: GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3, DeepSeek.
- 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬: Pinecone, Milvus, Weaviate, Qdrant, Chroma.
- 𝐎𝐩𝐬 & 𝐄𝐯𝐚𝐥: LangSmith, Arize Phoenix, Weights & Biases, Docker.
𝐑𝐞𝐜𝐞𝐧𝐭 𝐇𝐢𝐠𝐡-𝐈𝐦𝐩𝐚𝐜𝐭 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬
𝐎𝐩𝐞𝐧𝐂𝐥𝐚𝐰 𝐒𝐚𝐥𝐞𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐨𝐫: An autonomous agent that researches leads via web browsing and sends personalized outreach via Signal.
𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐆𝐫𝐚𝐩𝐡𝐑𝐀𝐆: A knowledge-retrieval system for 5,000+ technical manuals with 98% accuracy.
𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐁𝐨𝐭: A system where one agent triages, one researches the knowledge base, and one drafts the reply.
𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐦𝐨𝐯𝐞 𝐛𝐞𝐲𝐨𝐧𝐝 𝐛𝐚𝐬𝐢𝐜 𝐩𝐫𝐨𝐦𝐩𝐭𝐬?
Let’s discuss how we can implement an 𝐎𝐩𝐞𝐧𝐂𝐥𝐚𝐰 strategy or a robust 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 to automate your specific business challenges.
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Gather and review learning content
Receive and analyze your educational materials and discuss your objectives to tailor the AI learning experience.