I will machine learning nlp ai app developer ai agent ai integration ai automation llm

I use Python with libraries such as TensorFlow, PyTorch, Scikit-Learn, OpenCV, Pandas, Numpy, SpaCy, Langchain, Transformers by Hugging Face, LlamaIndex, Ollama, Gradio, Streamlit, Chainlit, OpenAI API, Gemini, ChatGPT, DALL-E, FastAPI, Flask, Django, Elasticsearch, Qdrant, Neo4j, SQL, PostgreSQL..

The time frame depends on the complexity and requirements of the project. I strive to deliver all projects in a timely manner while ensuring quality.

Actually, accuracy depends upon the data quality and quantity. Furthermore, model complexity also matters. We always strive to provide a more generalized model rather than one that overfits or underfits.

I have two NVIDIA RTX 6000 GPUs, each with 24 GB of VRAM, providing a total of 48 GB of GPU memory.

Yes, I am available 24/7 to answer your queries related to your problems and needs. I am happy to help.

I have a Master's degree in Data Science and 7+ years of experience as a machine learning engineer. I run a private company, handle government and commercial projects, and work as a full-time freelancer. I have completed more than 85 projects, with documents available upon request.

I will sign an NDA to ensure your privacy is my top priority. If you cannot provide access to the data, please share the details and nature of it. I will utilize an open-source dataset to solve your problem. I 100% guarantee a smooth transition to your on-premise data.

I have 48 GB of computing power and can fully fine-tune models with up to 13 billion parameters. However, I can fine-tune larger models by utilizing techniques like LoRA and QLoRA. I specialize in parameter-efficient fine-tuning. Furthermore, I can go for the cloud services but it will cast.

I have fine-tuned text-to-text LLMs such as Falcon, Llama, CodeLlama, Mistral, Phi, Gemini, GPT-2, and Gemma. For image-to-text, I use LLava and idefics, and for text-to-image, I utilize stable diffusion models. For text-to-speech, I use the Whisper model. I can fine-tune any LLM to meet your needs.

I have utilized Elasticsearch in more than 10 applications, including RAG applications. Additionally, I have used Qdrant and Neo4j in 6 RAG applications.