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Middle
Uzbekistan
Edalet has over 4 years of experience in AI, Machine Learning, and Data Science, with 4+ years of hands-on experience in Python as his primary programming language. He brings 1–2 years of practical experience with TensorFlow and HuggingFace, and works extensively with modern AI tools including vector databases (Weaviate), RAG architectures, and LLM-based systems. His expertise spans LLMs, NLP, Computer Vision, and Generative AI, with experience building AI agents, chatbots, and voice-based solutions from concept to production. Edalet has developed and managed end-to-end ML pipelines using technologies such as Azure Kubernetes Service (AKS), Docker, and cloud-based infrastructure, following MLOps and LLMOps best practices. He has strong product ownership experience, having built AI platforms from scratch, including chatbot and sales systems, and currently leads multiple AI projects independently. In addition, he has mentoring experience and has guided junior team members in both academic and professional environments.
Azerbaijan Technical University
Azerbaijan State Oil and Industry University
• RAG Architecture: Designing and optimizing end-to-end Retrieval-Augmented Generation pipelines using advanced chunking strategies and hybrid search.
• LLM Integration: Implementing and fine-tuning Large Language Models to analyze complex legal documents with high accuracy.
• Performance Optimization: Reducing hallucinations and improving retrieval relevance through rigorous evaluation frameworks and prompt engineering.
• Tech Stack: Python, LangChain/LlamaIndex, Weaviate, Docker, Kubernetes, Azure.
• Developed intelligent AI agents and chatbots for companies using NLP and machine learning.
• Created scalable solutions to automate workflows and enhance customer engagement.
• Leveraged large language models to deliver adaptive systems tailored to client needs.
• Designed, implemented, and optimized algorithms for image and video analysis.
• Evaluated and selected appropriate YOLO architectures for specific object detection and segmentation tasks.
• Performed data augmentation to enhance model robustness and handle class im, balance.
• Guided mentees in goal identification and personalized learning plans for Machine Learning, Data Science, and Data Analytics.
• Facilitated development of robust data science portfolios to highlight projects and achievements.
• Assessed progress and adjusted learning plans to ensure continuous improvement.
• Established AI chatbot and sales platform to enhance customer engagement.
• Identified market opportunities and developed a strategic roadmap for product offerings.
• Ensured alignment of technical solutions with market needs for optimal performance.
• Managed budgets for machines, allocated resources, and monitored financial outcomes.
• Collected, cleaned, and preprocessed data to prepare for analysis.
• Designed and implemented algorithms for data analysis and meaningful information extraction.
• Conducted sentiment analysis on text data to derive insights.
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