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@elminramazanov
I am an AI engineer specializing in NLP, VLMs, and MLOps.
I am an innovative data science and AI engineer with deep experience building production-scale NLP, vision-language models, and MLOps pipelines. I combine hands-on model tuning with systems design to deliver measurable business impact across insurance and manufacturing.
I have architected agentic continuous-learning systems, RAG applications, and GPU-optimized fleets that cut cost-per-query by 55% and tripled throughput. I built an insurance policy automation that reduced end-to-end processing from 30 minutes to 4 minutes and fine-tuned VLMs and LLMs for domain tasks including motor-claims assessment and PCB welding detection.
I prioritize scalable, ethical AI and operational robustness, owning end-to-end data-science lifecycles from data engineering and CDC integration to CI/CD, monitoring, and model quantization. I bring a results-driven mindset and a focus on deploying reliable AI products that improve throughput, accuracy, and organizational capability.
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Work history, roles, and key accomplishments
Pasha Insurance OJSC
Apr 2025 - Present (7 months)
Architected an agentic continuous-learning LLM system, deployed RAG chatbots and GPU-optimized clusters, cutting cost-per-query by 55% and tripling throughput.
Jabil Inc
Mar 2023 - Apr 2025 (2 years 1 month)
Built and productionised a predictive-analytics pipeline forecasting incident volume per manufacturing site; identified and optimised four key drivers to improve accuracy and enable proactive capacity planning.
Pasha Insurance OJSC
Jul 2020 - Jan 2023 (2 years 6 months)
Developed fraud-detection Random Forest (72% accuracy) and Mask-RCNN car-damage assessment, implemented OCR pipelines and FastAPI endpoints, automating processes that saved multiple FTEs.
Degrees, certifications, and relevant coursework
Master of Science in Engineering, Artificial Intelligence and Robotics
2017 - 2020
Master of Science in Engineering specializing in Artificial Intelligence and Robotics, including coursework and projects in Mask-RCNN, reservoir computing, and GPU-enabled VM fleet optimization.
Professional Certificate, Applied Data Science and Machine Learning
2023 -
Completed an intensive professional certificate covering applied AI and data science, including prompt engineering, agentic AI, supervised and unsupervised learning, time-series analysis, and model deployment.
Certificate, Natural Language Processing
2024 -
Completed a program on advanced NLP techniques with hands-on experience in text classification, topic modeling, graph analysis, and building a functional chatbot using open-source libraries.
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