You will get RAGify - Custom RAG Chatbot on Your Own Data - From Google Employee
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Top Rated
Project details
Generative AI is revolutionizing the way businesses leverage their own data, and Domain-Specific AI Chatbot is designed to provide highly accurate, context-aware responses using Retrieval-Augmented Generation (RAG). With my experience at Google, Amazon, and LinkedIn, I specialize in building AI chatbots that optimize enterprise knowledge management, AI-driven customer support, and intelligent automation. This chatbot seamlessly integrates natural language processing (NLP), vector embeddings, and large language models (LLMs) to deliver personalized AI responses, contextual search, and real-time insights. Whether it's SEO-friendly AI content generation, AI-powered virtual assistants, or domain-specific knowledge retrieval, this solution ensures secure and efficient interaction with proprietary data while maintaining AI accuracy, scalability, and privacy compliance.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language Understanding, Synthetic Data GenerationAI Development Language
PythonAI Tools
Hugging Face, Streamlit, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-J, LLaMA, WhisperWhat's included $10
These options are included with the project scope.
$10
- Delivery Time 2 days
- Number of Revisions 10
- AI Model Integration
- Database Integration
- Model Deployment
- Model Documentation
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$5
61 reviews
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LP
Liz P.
Dec 19, 2025
30 minute consultation
I'd hire Sanjeev full-time if I could. Great asset for any business owner looking to streamline processes and cut through all the junk out there. Will def hire again! Highly recommend
AJ
Andrew J.
Oct 27, 2025
30 minute consultation
Great ideas. Sanjeev came up with several options to deliver our project. Looking forward to working with him.
IB
Idowu B.
Sep 13, 2025
30 minute consultation
ML
Michael L.
Apr 4, 2025
Generative AI Powered Personalized Investment Portfolio Generation
Sanjeev brought unmatched expertise and precision to our Generative AI investment portfolio project. With a background at Google, LinkedIn, and Amazon, he operates at a level few can match.
He built a system that dynamically generates personalized investment portfolios based on individual goals, risk tolerance, and real-time market data—leading to a 40% increase in user engagement and significantly improved portfolio alignment.
Sanjeev combines deep ML expertise with real business acumen. He’s not just a builder—he’s a strategist who understands impact. His communication is clear, his thinking is sharp, and his work reflects the quality you’d expect from someone trained at the world’s best tech companies.
If you want cutting-edge AI solutions with enterprise-level execution, hire Sanjeev. He’s in a league of his own.
He built a system that dynamically generates personalized investment portfolios based on individual goals, risk tolerance, and real-time market data—leading to a 40% increase in user engagement and significantly improved portfolio alignment.
Sanjeev combines deep ML expertise with real business acumen. He’s not just a builder—he’s a strategist who understands impact. His communication is clear, his thinking is sharp, and his work reflects the quality you’d expect from someone trained at the world’s best tech companies.
If you want cutting-edge AI solutions with enterprise-level execution, hire Sanjeev. He’s in a league of his own.
ML
Michael L.
Apr 4, 2025
AI Agent Develoment for Time Series Forecasting
Hiring Sanjeev was the smartest move we made—it changed the entire trajectory of our project. He cuts through the fog of uncertainty that surrounds complex machine learning work with ease, bringing a rare blend of clarity, precision, and deep expertise. His approach is rigorous, his solutions practical, and his impact immediate. From our very first conversation, I knew there was no better guide to dramatically improve the odds of success. Sanjeev doesn’t just understand AI—he masters it, and he elevates everything around him with his commitment, humility, and laser-sharp thinking. If you’re lucky enough to catch him before his calendar fills up, don’t hesitate. Talent like his doesn’t stay available for long—and once you work with him, you’ll understand why.
About Sanjeev
Machine Learning Engineer | Working in Meta (Ex-Googler | Amazonian)
100%
Job Success
London, United Kingdom - 2:30 am local time
I am a full-time Machine Learning Engineer at Meta. Before this, I built and shipped ML systems at Google, Amazon, and LinkedIn - over 100 production ML and Generative AI projects across recommendation systems, NLP, and applied deep learning.
I help small and mid-sized businesses and early-stage startups build the same kind of scalable ML/GenAI systems that large tech companies rely on, without the overhead of hiring a full team. My work has contributed to $10M+ in client revenue through deployed AI models, and I am ranked in Upwork's top 1% (Expert-Vetted).
What I can help with:
- End-to-end ML pipelines: data → training → deployment → monitoring
- Generative AI & LLM applications: RAG systems, agentic workflows, fine-tuning
- Production-grade model deployment and MLOps
- Technical strategy and architecture reviews for AI initiatives
A bit more context: I also teach ML/AI to a community of 200K+ developers on YouTube and share open-source work with a few hundred followers on GitHub, so I stay hands-on with the latest techniques, not just what I use day-to-day at Meta
Because I work full-time in Meta London office, I take on a limited number of freelance projects at a time and prioritize ones where I can be genuinely useful. Happy to do a quick call to see if it's a good fit before you commit to anything.
Message me with a bit about your project and I'll tell you honestly whether I am the right fit.
Steps for completing your project
After purchasing the project, send requirements so Sanjeev can start the project.
Delivery time starts when Sanjeev receives requirements from you.
Sanjeev works on your project following the steps below.
Revisions may occur after the delivery date.
Delivery of end-to-end project