# Almas Mirzakhmetov > Senior Software Engineer and AI Researcher specializing in AI-driven solutions, web development, NLP, and product engineering. ## About Almas Mirzakhmetov is a senior software engineer with over 10 years of experience building web products used by real people every day. Currently working at SQUID App, focusing on AI-driven solutions. Previously contributed to AI research at ISSAI, Nazarbayev University (2019–2021), co-authoring papers on Kazakh speech processing, epidemiological modeling, and medical AI. Based in Kazakhstan. ## Education - Bachelor's in Applied Mathematics and Informatics — Peoples' Friendship University of Russia (PFUR / РУДН), Moscow - Master's in Applied Mathematics — National Research Nuclear University MEPhI (МИФИ), Moscow ## Research & Publications Google Scholar: https://scholar.google.com/citations?user=31bOjskAAAAJ Research conducted at the Institute of Smart Systems and Artificial Intelligence (ISSAI), Nazarbayev University, Kazakhstan. ### Paper 1: A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline - Authors: Y. Khassanov, S. Mussakhojayeva, A. Mirzakhmetov, A. Adiyev, M. Nurpeiissov, H.A. Varol - Venue: EACL 2021 (16th Conference of the European Chapter of the Association for Computational Linguistics) - Topic: Largest open-source Kazakh speech database — 332 hours, 153,000+ utterances. 2.8% CER, 8.7% WER baseline. - Links: https://aclanthology.org/2021.eacl-main.58/ | https://arxiv.org/abs/2009.10334 ### Paper 2: KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset - Authors: S. Mussakhojayeva, A. Janaliyeva, A. Mirzakhmetov, Y. Khassanov, H.A. Varol - Venue: INTERSPEECH 2021 - Topic: First large-scale open-source Kazakh TTS dataset — 93 hours, 2 professional speakers. MOS above 4.0. - Links: https://arxiv.org/abs/2104.08459 | https://github.com/IS2AI/Kazakh_TTS ### Paper 3: A Network-Based Stochastic Epidemic Simulator: Controlling COVID-19 With Region-Specific Policies - Authors: A. Kuzdeuov, D. Baimukashev, A. Karabay, B. Ibragimov, A. Mirzakhmetov, M. Nurpeiissov, M. Lewis, H.A. Varol - Venue: IEEE Journal of Biomedical and Health Informatics (JBHI), Vol. 24, No. 10, 2020 - Topic: Network-based SEIR epidemic simulator for region-specific COVID-19 policy evaluation. - Links: https://pubmed.ncbi.nlm.nih.gov/32749979/ | https://github.com/IS2AI/COVID-19-Simulator ### Paper 4: End-to-End Deep Diagnosis of X-ray Images - Authors: K. Urinbayev, Y. Orazbek, Y. Nurambek, A. Mirzakhmetov, H.A. Varol - Venue: IEEE EMBC 2020 (42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society) - Topic: End-to-end deep learning framework for automated X-ray diagnosis. DenseNet-121 with 0.91 accuracy and Grad-CAM interpretability. - Links: https://arxiv.org/abs/2003.08605 | https://github.com/IS2AI/Chest-X-ray-module ## Research Themes - Kazakh language processing (ASR, TTS) for low-resource languages - Medical AI and deep learning for diagnostic imaging - Epidemiological modeling and public health simulation ## Technical Expertise - **Frontend**: React, TypeScript, Next.js, Tailwind CSS - **Backend**: Python, PHP, Node.js - **Databases**: PostgreSQL, MongoDB - **Cloud**: AWS - **AI/ML**: LLM integration, AI-powered product development, prompt engineering, speech processing, NLP ## Services & Availability Almas is available for: - **AI Integration Consulting** — helping teams adopt LLMs and AI tools into their products and workflows - **Full-Stack Web Development** — end-to-end product development from architecture to deployment - **Technical Architecture** — system design, scalability planning, and tech stack decisions - **AI Research Collaboration** — NLP, speech processing, and applied ML for low-resource languages - **Freelance & Contract Work** — open to interesting projects involving AI, web platforms, or developer tools ## Projects & Domains - almas.dev — personal blog on software engineering, AI, and technology - lumicente.co — AI-powered movie discovery - getpactup.app — product project - tisimai.app — product project ## Contact - Email: kramal888@gmail.com - LinkedIn: https://www.linkedin.com/in/mirzakhmetov/ - GitHub: https://github.com/kramal - Google Scholar: https://scholar.google.com/citations?user=31bOjskAAAAJ ## Languages - English (fluent) - Russian (native) - Kazakh (native) ## Location Kazakhstan (remote-friendly, open to international collaboration)