You will get a production-ready system | RAG | LLM
Top Rated
Project details
You will get a production-ready, scalable RAG chatbot system built for your internal documents and private knowledge base. I specialize in building modular AI systems using Next.js and FastAPI microservices, designed for real-world production use.
This setup allows you to turn any set of documents into an intelligent, queryable AI assistant with high accuracy and low latency. The system supports multiple vector databases (FAISS, Qdrant, Chroma) and multiple LLMs (OpenAI, Anthropic, LLaMA), with smart routing for cost and performance optimization.
What sets this apart is the focus on engineering-grade architecture — clean SDKs, modular pipelines, prompt versioning, streaming responses, and evaluation tools, making it easy to scale and maintain in production environments.
The goal is simple: help teams quickly deploy powerful internal AI search and chat systems with minimal setup and maximum flexibility.
This setup allows you to turn any set of documents into an intelligent, queryable AI assistant with high accuracy and low latency. The system supports multiple vector databases (FAISS, Qdrant, Chroma) and multiple LLMs (OpenAI, Anthropic, LLaMA), with smart routing for cost and performance optimization.
What sets this apart is the focus on engineering-grade architecture — clean SDKs, modular pipelines, prompt versioning, streaming responses, and evaluation tools, making it easy to scale and maintain in production environments.
The goal is simple: help teams quickly deploy powerful internal AI search and chat systems with minimal setup and maximum flexibility.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 8 days |
Number of Revisions | 1 | 3 | 5 |
Number of Pages | 0 | 0 | 0 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
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About Prince
Sr. AI/ML & Automation | Full-Stack | Python, RAG, LLM, Data Science
93%
Job Success
Pathankot, India - 5:45 pm local time
🏆 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 𝐀𝐈/𝐌𝐋 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫
⚡ 𝟓𝟎+ 𝐡𝐫𝐬/𝐰𝐞𝐞𝐤 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲
✅ 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 | 𝐀𝐈/𝐌𝐋 & 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝
I build production-grade AI systems powered by LLMs, RAG pipelines, AI agents, automation workflows, and scalable cloud infrastructure from intelligent copilots and autonomous workflows to enterprise AI SaaS platforms used in real-world environments.
I work with startups, SaaS companies, and enterprise teams to design and ship AI products that are scalable, reliable, and built for actual production usage not just demos.
𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
## 🧠𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈:
𝐏𝐲𝐭𝐡𝐨𝐧 & 𝐀𝐈 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: Python, FastAPI, Django, Flask, TensorFlow, PyTorch, Scikit-learn, OpenCV, HuggingFace Transformers, NLP, Computer Vision, Predictive Analytics, Recommendation Systems, Time-Series Forecasting, Deep Learning Pipelines, AI Automation
𝐋𝐋𝐌𝐬 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: GPT-4o, Claude API, Whisper, DALL·E, LLaMA 3, Mistral, Mixtral, Gemma, Falcon, Ollama, Amazon Bedrock, HuggingFace Ecosystem
𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, AI Copilots, Multi-Agent Workflows, Tool Calling, Function Calling, Workflow Automation & Agent Orchestration
𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈: Whisper, Deepgram, Amazon Polly, Speech-to-Text, Text-to-Speech, Real-Time AI Voice Agents, Conversational AI Systems
## 🔍𝐑𝐀𝐆 / 𝐋𝐋𝐌𝐎𝐩𝐬 / 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞:
𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Semantic Search, Hybrid Retrieval, Re-ranking, Context Optimization, Multi-Modal RAG Pipelines, Document Intelligence Systems
𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Pinecone, FAISS, ChromaDB, Qdrant, Weaviate, Milvus
𝐋𝐋𝐌𝐎𝐩𝐬 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, PromptLayer, Prompt Versioning, AI Evaluation Pipelines, AI Monitoring, AI Reliability & Observability, AI Performance Optimization & Cost Reduction
𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: LoRA, QLoRA, PEFT, RLHF, DPO, SFT, Unsloth, Axolotl, HuggingFace AutoTrain, GPTQ, AWQ, GGUF, GGML
𝐇𝐢𝐠𝐡-𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐀𝐈 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: vLLM, TensorRT-LLM, AWS SageMaker, Amazon Bedrock, RunPod, Serverless AI, Scalable Inference Infrastructure, Distributed AI Systems
## 🌐𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠:
𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: FastAPI, Django, Flask, Node.js, REST APIs, GraphQL APIs, Redis, Celery, Background Jobs, Real-Time Streaming Systems, Microservices Architecture
𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: React.js, Next.js, Progressive Web Apps (PWA)
𝐂𝐥𝐨𝐮𝐝 / 𝐃𝐞𝐯𝐎𝐩𝐬 / 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS, GCP, Azure, Docker, Kubernetes, Nginx, CI/CD Pipelines, Cloud-Native Deployments, High-Concurrency Architectures, Fault-Tolerant Infrastructure
## 🔄𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐒𝐚𝐚𝐒 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬:
𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Zapier, Make (Integromat), n8n
𝐂𝐑𝐌 & 𝐒𝐚𝐚𝐒 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Pipedrive, Zoho, GoHighLevel, ClickUp, Monday
𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: AI Workflow Automation, Multi-Agent Orchestration, AI-Powered Business Process Automation
## 🧠 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠:
PostgreSQL, MySQL, MongoDB, Firebase, Firestore, ETL Pipelines, Data Warehousing, Real-Time Analytics & Data Pipelines
💬 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐆𝐞𝐭 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐖𝐢𝐭𝐡 𝐌𝐞:
→ Production-ready AI systems built for scale
→ Clean architecture & maintainable codebases
→ Fast execution without compromising quality
→ Strong communication, ownership & reliability
→ Long-term scalability instead of quick hacks
I focus on building AI systems that are intelligent, scalable, reliable, and revenue-driven.
If you need someone who can architect, build, deploy, and scale real AI products end-to-end — let’s connect. 🚀
Warm regards,
Prince
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