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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

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.

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.

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.

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.

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.