Adil Aldosh
@adilaldosh
I lead AI R&D teams building scalable LLM agents, search systems, and high-performance data platforms.
What I'm looking for
At Armeta and previously Documentolog, I lead research and development for scalable AI systems, from open-weight multimodal LLM and YOLO deployments to multi-agent assistants with tool calling, RAG, and automated workflows.
I've also built voice-native AI agents at Sigli, cut data pipeline build times from 12+ hours to under two hours, and improved chatbot NLU accuracy by 15%, response latency by 50%, and search accuracy by 20% at One Technologies. I work hands-on across Python, FastAPI, PyTorch, LangChain, LangGraph, vLLM, vector search, and cloud data infrastructure.
Experience
Work history, roles, and key accomplishments
Head of Research and Development
Armeta
Nov 2025 - Present (9 months)
Leading a cross-functional ML and Software Engineering team, managing architecture design, delivery roadmaps, and stakeholder alignment to deliver scalable and reliable AI systems. Deploying open-weight quantized Multimodal LLMs, VLMs, and fine-tuned custom YOLO models via vLLM, PyTorch, and HuggingFace, applying caching, batching, and token-budget optimization to minimize latency and maximize thr
Education
Degrees, certifications, and relevant coursework
S. Seifullin Kazakh Agro Technical Research University
Bachelor of Engineering, Computer Systems & Software
2019 - 2021
Grade: 3.48
Earned a Bachelor of Engineering in Computer Systems & Software with a GPA of 3.48.
Kazakh-British Technical University
Master of Science, Data Science
2015 - 2019
Grade: 3.55
Pursued a Master of Science in Data Science, achieving a GPA of 3.55.
Availability
Location
Authorized to work in
Job categories
Skills
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