Open to opportunities

Alimzhan Bekmurzin

@alimzhanbekmurzin

Message

Senior ML/AI engineer building production-grade Generative AI, LLM orchestration, and low-latency RAG systems.

Kazakhstan

Message

What I'm looking for

I’m looking for teams building production-grade GenAI/LLM products—especially low-latency RAG, multi-agent reasoning, and real-world inference optimization—where I can own architecture, evaluation, and measurable performance improvements.

I build production-grade AI systems used by millions, turning complex business requirements into scalable AI agents. I specialize in Generative AI, LLM orchestration, and multi-agent reasoning with a focus on low-latency RAG.

At Adobe, I contributed to Generative Fill by improving inference performance by 13.5% via advanced model quantization and distillation. I also orchestrated GenAI model deployment across the Adobe ecosystem (Photoshop, Illustrator) to achieve sub-second latency for real-time AI transformations.

In lead and senior roles, I architected agentic systems (LangGraph) for health-tech workflows, built adaptive LLM personalization that increased engagement by 24%, and shipped RAG pipelines that reduced hallucinations while improving accuracy for domain-specific queries.

Experience

Work history, roles, and key accomplishments

Data Scientist / ML Engineer

Treeple AI

Jan 2020 - Jan 2023 (3 years)

Built a multilingual, streaming-based GenAI chatbot that increased user satisfaction by 22%. Engineered route-optimization and NLP-driven travel planners, reducing manual planning time by 27.5%.

Streaming Conversational AI Natural Language Processing (NLP)Route Planning Optimization

Lead ML Engineer

QU Solutions

Architected a health-tech consultant app using LangGraph with multi-agent reasoning over unstructured medical data. Designed an adaptive AI coaching engine that increased engagement by 24%, and built production RAG pipelines that reduced hallucinations and improved domain query accuracy.

LangGraph Retrieval Augmented Generation (RAG)Vector Databases

ML Engineer

Adobe

Developed production-grade ML infrastructure for Adobe’s Generative Fill, serving millions of users. Improved image generation speed by 13.5% using quantization and distillation, and enabled sub-second cross-product AI transformations across Photoshop and Illustrator.

Generative AI Image Generation Model Quantization Model Distillation Cross Product Integration