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English
$
USD
I will build ai agents rag chatbots llm apps and fine tune custom ai models
Ravikumar M
About this gig
I'm a Generative AI / LLM Engineer with hands-on experience building and deploying production-grade AI systems for enterprises across NLP, computer vision, and generative AI.
What I can build for you:
- RAG (Retrieval-Augmented Generation) pipelines and knowledge copilots
- - Multi-agent AI systems using LangChain, LangGraph, and CrewAI
- - Custom AI chatbots and conversational assistants (GPT, Gemini, Llama)
- - LLM fine-tuning (SFT, LoRA/PEFT) for domain-specific use cases
- - Document AI and data extraction pipelines
- - Semantic search engines and vector database integration (Pinecone, Weaviate, Chroma)
- - Cloud deployment and MLOps on AWS, Azure, and Databricks with MLflow
I've architected enterprise multi-agent assistants with governance and guardrails, built RAG copilots with sub-2-second response latency, and deployed scalable ML pipelines used in production. I focus on clean, well-documented code and clear communication throughout the project.
Let's discuss your requirements - message me before ordering if you have a custom or complex project so I can recommend the right package.
Get to know Ravikumar M
Ravikumar M
Senior AI Engineer
- FromIndia
- Member sinceJun 2020
- Avg. response time1 hour
Languages
English
Senior AI Engineer with 3+ years building and deploying production AI systems across LLMs, multi-agent architectures, NLP, computer vision, and generative AI. I turn AI ideas into reliable, scalable systems — RAG pipelines, autonomous agents (LangGraph, CrewAI), and LLM/embedding fine-tuning (SFT, LoRA, PEFT). Full-stack: AWS, Azure, Databricks, MLflow, Docker, vector DBs (Pinecone, Weaviate, Chroma). Delivered sub-second response latency at enterprise scale and cut manual workflows by up to 50%. Certified in prompt engineering, RAG, and LLM fine-tuning (DeepLearning.AI).
Other AI Development Services I Offer
FAQ
What information do you need from me to get started?
Please share your use case, the data sources you want the AI to work with, and any specific tools or platforms (e.g. AWS, Azure) you'd like used. I'll recommend the best approach.
Can you work with an existing codebase or add to a project already in progress?
Yes, I can review your existing codebase, integrate new AI features, or fix and optimize existing LLM/RAG pipelines.
Do you fine-tune custom AI/LLM models, or only build with existing ones?
Both. I fine-tune LLMs and embedding models for domain-specific tasks using techniques like SFT and LoRA/PEFT, and I also build agents, RAG pipelines, and chatbots on top of existing foundation models. Tell me your goal and I'll recommend the right approach.
What AI frameworks and models do you work with?
LangChain, LangGraph, CrewAI, and LlamaIndex for agents and RAG; Pinecone, Weaviate, and Chroma for vector search; and deployment on AWS, Azure, and Databricks with MLflow. I work across major LLM providers and adapt the stack to your budget and requirements.
