Experience, skills, projects, and achievements.
Open to opportunities
AI Engineer
PythonAI EngineeringLLMsPrompt EngineeringMulti-Agent SystemsRAGLLM EvaluationTool CallingFine-TuningMachine LearningPyTorchSQLFastAPIDockerApplied AI Research
Machine Learning Engineer
ALCOMARKET KZ
Jan 2024 — Jan 2025• Built ML workflows for 4 retail analytics use cases: pricing, demand elasticity, Run Rate forecasting, and Out-of-Stock loss estimation. • Supported pricing and inventory decisions by preparing sales, pricing, stock, and product datasets, engineering features, evaluating models, and translating outputs into business-readable insights. • Analyzed sales trends, price sensitivity, and stock-gap losses to help business teams identify pricing and inventory optimization opportunities.
AI Engineer / Research Engineer
Infiano AI
Jan 2025 — Present• Contributed to 7 AI projects and 12 demos for business automation by designing LLM-based agent workflows, retrieval flows, memory components, moderation logic, and model-configuration strategies. • Reduced LLM usage cost from several percent to up to 5-10x in selected workflows by combining model selection, prompt/context optimization, caching-aware design, RAG-based context reduction, and research-driven cost strategies. • Designed production-oriented multi-agent workflows with up to ~30 agents by defining tool schemas, memory/RAG/moderation/evaluator flows, config patching, async triggers,
