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English
$
USD
I will fine tune llms and embedding models for your specific use case
Ravikumar M
About this gig
I fine-tune large language and embedding models, using SFT, LoRA, and PEFT, so they perform your specific task, whether that's brand voice, domain terminology, classification, or specialized Q&A, better than a generic off-the-shelf model ever will.
What you get: a fine-tuned model trained on your data, an evaluation report showing before and after performance, deployment-ready weights or a hosted endpoint, and guidance on data prep if your dataset needs cleaning first.
Certified in LLM fine-tuning and prompt engineering by DeepLearning.AI, with hands-on experience across AWS, Azure, and Databricks/MLflow pipelines. Share your use case and target data and I'll scope the right approach, full fine-tune versus LoRA versus prompt-based, before you order.
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
How much data do I need for fine-tuning?
It depends on the task, but a few hundred quality examples is often enough for LoRA fine-tuning. I'll review your dataset and advise before you order.
Do I need to provide my own GPU or hosting?
No. I handle training compute and, for the Premium package, the hosted endpoint. You just provide the data and use case.
