I am a Machine Learning Engineer with a background that spans competitive programming, robotics, research, and production AI systems.
I started at MIST, competed at the ACM ICPC level, and led the software team for MIST Mongol Barota, an autonomous rover that placed 1st at the University Rover Challenge and 3rd at the Anatolian Rover Challenge competing against teams from 14 countries. That work was not academic, it was real hardware, real deadlines, real consequences if the autonomy stack failed mid-mission.
From there I moved into ML research, publishing 7 papers including a best paper award at ICISET-2024 for work on RAG-based literature review generation. I did not just benchmark models, I built the full pipeline, chunking, embedding, retrieval, post-filtering, generation, and wrote it up as a thesis.
On the industry side I have built production systems across the full stack: RAG pipelines for pharmaceutical companies at Delineate Pro, a recommender system for a Japanese e-commerce platform at Gigalogy, computer vision APIs at Culture Hint, and currently an end-to-end MLOps pipeline and recommendation system at MetLife that lifted lead collection and sales by 22%.
I hold certifications from Microsoft, Databricks, NVIDIA, and Google across AI engineering, data science, MLOps, and cloud architecture.
What makes me different is that I can move across the full depth of a system. I can design the ML architecture, write the backend that serves it, set up the infrastructure that runs it, and debug it when it breaks in production. I am not a specialist who needs a team around every layer.
I am looking for a senior ML or AI engineering role where the problems are hard, the systems are real, and ownership is expected.
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