
Rinat Kurmaev
@rinatkurmaev
I build production AI systems, from RAG and OCR pipelines to fine-tuned multimodal models and agentic workflows.
What I'm looking for
I've built production AI systems at Innova Inc, including a high-volume OCR pipeline that cut document processing time by 90% and a dataset-labeling pipeline that reduced manual effort fivefold.
For bank IVR products, I've prototyped LLM, TTS, and STT solutions that demonstrated the potential to generate 50% more qualified leads. I also fine-tuned a sub-1B parameter LLM to match a larger model's intent-classification F1 while reducing inference cost and latency.
At Epoch8, I engineered an enterprise RAG system across three knowledge bases, improving query response time by 30% through caching and optimization. I productionized ML services with Docker, Kubernetes, serverless deployment, and Langfuse monitoring.
Earlier, I scaled a virtual-assistant platform at AnyAgent AI Inc and built NLP content filtering that reduced inappropriate responses by 99.9%. My embedded software background includes Embedded Linux, GPS, MCU integration, and AUTOSAR modules for Ford's eCall system.
Experience
Work history, roles, and key accomplishments
Senior AI/ML Engineer
Innova Inc
May 2025 - Present (1 year 4 months)
Automated dataset labeling for text-to-image models, reducing manual effort by 5x. Architected and deployed an AI-powered OCR pipeline, reducing document processing time by 90%.
Education
Degrees, certifications, and relevant coursework
MIREA — Russian Technological University
Bachelor of Robotics, Robotics
2015 - 2019
Pursued a Bachelor of Robotics degree, focusing on robotics engineering and related technologies.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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