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I am a Machine Learning Engineer with over three years of experience delivering production-grade NLP and ML solutions. I have hands-on expertise in transformer fine-tuning using Hugging Face, vector search implementations with FAISS, and deploying FastAPI services. My passion lies in building scalable Retrieval-Augmented Generation systems and managing end-to-end MLOps workflows, especially in cloud environments. Throughout my career, I have built LLM chatbots, sentiment classifiers, and optimization models, often utilizing Docker and MLflow for efficient deployment. I enjoy applying techniques like LoRA and distillation to optimize inference for limited compute scenarios and have a strong foundation in operations research to optimize business processes. I am open to relocation and eager to contribute to innovative AI-driven projects.…I am a Machine Learning Engineer with over three years of experience delivering production-grade NLP and ML solutions. I have hands-on expertise in transformer fine-tuning using Hugging Face, vector search implementations with FAISS, and deploying FastAPI services. My passion lies in building scalable Retrieval-Augmented Generation systems and managing end-to-end MLOps workflows, especially in cloud environments. Throughout my career, I have built LLM chatbots, sentiment classifiers, and optimization models, often utilizing Docker and MLflow for efficient deployment. I enjoy applying techniques like LoRA and distillation to optimize inference for limited compute scenarios and have a strong foundation in operations research to optimize business processes. I am open to relocation and eager to contribute to innovative AI-driven projects.

Abdulkhak Abdrakhman

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I am a Machine Learning Engineer with over three years of experience delivering production-grade NLP and ML solutions. I have hands-on expertise in transformer fine-tuning using Hugging Face, vector search implementations with FAISS, and deploying FastAPI services. My passion lies in building scalable Retrieval-Augmented Generation systems and managing end-to-end MLOps workflows, especially in cloud environments. Throughout my career, I have built LLM chatbots, sentiment classifiers, and optimization models, often utilizing Docker and MLflow for efficient deployment. I enjoy applying techniques like LoRA and distillation to optimize inference for limited compute scenarios and have a strong foundation in operations research to optimize business processes. I am open to relocation and eager to contribute to innovative AI-driven projects.…I am a Machine Learning Engineer with over three years of experience delivering production-grade NLP and ML solutions. I have hands-on expertise in transformer fine-tuning using Hugging Face, vector search implementations with FAISS, and deploying FastAPI services. My passion lies in building scalable Retrieval-Augmented Generation systems and managing end-to-end MLOps workflows, especially in cloud environments. Throughout my career, I have built LLM chatbots, sentiment classifiers, and optimization models, often utilizing Docker and MLflow for efficient deployment. I enjoy applying techniques like LoRA and distillation to optimize inference for limited compute scenarios and have a strong foundation in operations research to optimize business processes. I am open to relocation and eager to contribute to innovative AI-driven projects.

Available to hire

I am a Machine Learning Engineer with over three years of experience delivering production-grade NLP and ML solutions. I have hands-on expertise in transformer fine-tuning using Hugging Face, vector search implementations with FAISS, and deploying FastAPI services. My passion lies in building scalable Retrieval-Augmented Generation systems and managing end-to-end MLOps workflows, especially in cloud environments.

Throughout my career, I have built LLM chatbots, sentiment classifiers, and optimization models, often utilizing Docker and MLflow for efficient deployment. I enjoy applying techniques like LoRA and distillation to optimize inference for limited compute scenarios and have a strong foundation in operations research to optimize business processes. I am open to relocation and eager to contribute to innovative AI-driven projects.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

Afar

Advanced

Work Experience

Owner at LUMO Craftory (Furniture Factory)

January 1, 2025 - September 5, 2025

Developed forecasting models that optimized inventory management, achieving an 80% reduction in material waste. Implemented operations research-based methods to streamline production scheduling and reduce overall cost structures. Seamlessly converted operations and processes into machine learning workflows, resulting in measurable financial benefits for the company.

Independent ML/NLP Engineer at Self-employed

January 1, 2025 - Present

Developed LangChain-based assistants integrating OpenAI and FAISS retrieval, deployed using FastAPI, Docker, and NGINX. Designed end-to-end Retrieval-Augmented Generation pipelines combining structured SQL data with unstructured PDFs to create efficient enterprise search systems. Fine-tuned transformer-based sentiment classifiers on custom domain datasets using Hugging Face and PyTorch frameworks. Applied Low-Rank Adaptation (LoRA) and knowledge distillation methods to optimize transformer inference for environments with limited computational resources.

AI Researcher (NLP & Decision Systems) at Kazakh-British Technical University

May 1, 2024 - September 5, 2025

Created a DistilBERT-based emoji-sentiment analysis pipeline for real-time emotion tracking in chat applications. Designed fuzzy-logic multi-criteria decision models for robust scoring systems. Conducted fine-tuning of transformer models on low-resource datasets, ensuring reproducibility of experiments using sklearn and Hugging Face transformer libraries.

Senior Data Scientist at KazakhTelecom

May 1, 2024 - September 5, 2025

Optimized network resource allocation by combining XGBoost predictive models with linear programming techniques, reducing operational expenditure by 18%. Developed failure forecasting and customer churn models that enhanced decision-making latency by 30% for operational teams. Utilized SHAP for interpretable machine learning models, supporting telecom strategic planning and decisions.

Computer Vision Engineer at Qubit

September 1, 2019 - September 5, 2025

Developed and benchmarked multiple object detection models including YOLO, SSD, and Faster R-CNN for license plate recognition and perimeter intrusion detection. Improved detection accuracy by 13% through parameter tuning and data augmentation techniques. Reduced model latency by 19%, enabling real-time edge deployment.