Talent-3389

Edalet
AI Engineer
Middle
Uzbekistan
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Salary
β¬ 2200
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Professional Summary
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 1β2 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.
Video of Talent
Portfolio
Education
Master's Degree β Computer Engineering
Azerbaijan Technical University
Bachelor's Degree β Mechatronics and Robotics Engineering
Azerbaijan State Oil and Industry University
βCertifications and Trainings
Experience
LLM / RAG Engineer β Feb 2026 β Present
β’ RAG Architecture: Designing and optimizing end-to-end Retrieval-Augmented Generation pipelines using advanced chunking strategies and hybrid search.
β’ LLM Integration: Implementing and fine-tuning Large Language Models to analyze complex legal documents with high accuracy.
β’ Performance Optimization: Reducing hallucinations and improving retrieval relevance through rigorous evaluation frameworks and prompt engineering.
β’ Tech Stack: Python, LangChain/LlamaIndex, Weaviate, Docker, Kubernetes, Azure.
AI R&D, Engineer β Mar 2025 β Dec 2025
β’ Developed intelligent AI agents and chatbots for companies using NLP and machine learning.
β’ Created scalable solutions to automate workflows and enhance customer engagement.
β’ Leveraged large language models to deliver adaptive systems tailored to client needs.
Computer Vision Engineer β Jun 2024 β Mar 2025
β’ Designed, implemented, and optimized algorithms for image and video analysis.
β’ Evaluated and selected appropriate YOLO architectures for specific object detection and segmentation tasks.
β’ Performed data augmentation to enhance model robustness and handle class im, balance.
Data Scientist Mentor, Co-founder β May 2024 β Jun 2025
β’ Guided mentees in goal identification and personalized learning plans for Machine Learning, Data Science, and Data Analytics.
β’ Facilitated development of robust data science portfolios to highlight projects and achievements.
β’ Assessed progress and adjusted learning plans to ensure continuous improvement.
Data Scientist, Founder β Aug 2023 β Oct 2024
β’ Established AI chatbot and sales platform to enhance customer engagement.
β’ Identified market opportunities and developed a strategic roadmap for product offerings.
β’ Ensured alignment of technical solutions with market needs for optimal performance.
β’ Managed budgets for machines, allocated resources, and monitored financial outcomes.
Data Scientist Intern β Jan 2023 β Jun 2023
β’ Collected, cleaned, and preprocessed data to prepare for analysis.
β’ Designed and implemented algorithms for data analysis and meaningful information extraction.
β’ Conducted sentiment analysis on text data to derive insights.



