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Report abuseI am passionate about Deep Learning and real-time data monitoring ☁️. I constantly explore and experiment with the latest techniques in the industry. This has allowed me to stay at the forefront of technology and bring innovative solutions to complex problems. In order to develop my skills to the fullest, I actively seek new opportunities to apply my knowledge to business and scientific problems.
My expertise lies in identifying business problems and developing AI-based solutions and advanced analytics for that use case. I have successfully led the development of multiple AI projects and web applications, resulting in improved user experience and increased customer satisfaction.
🔭 Gen AI Engineer - Data Scientist
👯 I’m like to collaborate on Data Science, Machine Learning and Deep Learning
Build a CV and job offer evaluator agent system using LangGraph and Mistral
A step-by-step tutorial on building an AI Agent system to recommend courses using AutoGen and LLaMA. Learn how to create autonomous agents that analyze CVs, extract key skills, and suggest personal…
Jupyter Notebook 3
This repository demonstrates how to quickly evaluate RAG systems without the need to manually create a large dataset.
Jupyter Notebook 3
A practical guide to fine-tuning LLMs (1B & 8B) using two distinct approaches: fast cloud training with Unsloth on Google Colab, and local adaptation on Mac (MPS) & Windows/Linux (CUDA) using PEFT.
Jupyter Notebook 3
Forked from ikumpli/LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries
This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).
Jupyter Notebook 2
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