Elnur Garashov

Lead and contribute to the design, development, and deployment of advanced Generative AI solutions using open-source frameworks.

• Worked on speech-to-text, multimodal speech translation, and machine translation projects, performing fine-tuning and optimization as required.
• Developed a flexible RAG platform that automatically selects optimal components based on document type to improve accuracy.
• Implemented multi-agent systems with patterns for verification, reflection, and enhanced response reasoning.

Delivered innovative AI-driven solutions to enhance operational efficiency and automate business processes.

• Designed and developed an AI-powered Sales Enablement Platform integrating knowledge-base chat, document-based Q&A, RFP similarity search, and automated document generation, leveraging Azure AI Search, Azure OpenAI, Cosmos DB, and LangChain.
• Built a research assistance chatbot with domain-specific knowledge-base interaction and investment search capabilities using Azure Promptflow and Azure Fabric.
• Improved productivity for sales teams and researchers by reducing document handling and information retrieval time through advanced retrieval-augmented generation (RAG) techniques.
• Collaborated cross-functionally to align AI solutions with business goals, ensuring scalable and user-centric product delivery.

As a Senior AI Engineer, I am committed to supporting the professional growth of my colleagues while actively participating in planning and being part of development of project activities. I strive to thoroughly grasp project requirements and infrastructure needs, facilitating smooth development processes. Leveraging advanced AI methodologies, I aim to provide valuable insights and solutions, contributing positively to our team's efforts.

As an Associate Data Scientist, my focus revolved around developing Generative AI solutions and staying updated with emerging trends to drive innovation. This effort resulted in numerous projects being added to the company's portfolio and attracted a wide range of clients. Additionally, I actively shared my knowledge with colleagues to foster team growth and collective learning.

As a Junior Data Scientist, I actively contributed to various projects across retail & fashion, energy, and manufacturing domains, delivering impactful solutions that enhanced organizational efficiency and performance. Leveraging AI techniques like time series analysis, predictive maintenance, clustering, NLP, speech-to-text, recommenders system, and market basket analysis, I devised strategic insights and optimizations. Furthermore, I engineered robust ETL pipelines for big data and facilitated infrastructure migration to the cloud. Leveraging Power BI, I crafted actionable visualizations and core business KPI tables, while also orchestrating cloud-based IoT data collection and monitoring systems to drive operational excellence.