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I'm Anil Gurbuz, a highly motivated Machine Learning & AI Engineer with 8+ years of experience in the data space. I thrive in remote roles and enjoy working in demanding startup environments. I've been developing AI agents since LLMs emerged and I love turning ideas into deployable AI solutions. I excel at scoping, developing, deploying, and maintaining end-to-end, large-scale NLP, CV, and ML solutions. I bring strong theoretical grounding in Statistics and ML, plus hands-on programming, data analysis, model development, and IT/DevOps knowledge to build robust, scalable systems.…I'm Anil Gurbuz, a highly motivated Machine Learning & AI Engineer with 8+ years of experience in the data space. I thrive in remote roles and enjoy working in demanding startup environments. I've been developing AI agents since LLMs emerged and I love turning ideas into deployable AI solutions. I excel at scoping, developing, deploying, and maintaining end-to-end, large-scale NLP, CV, and ML solutions. I bring strong theoretical grounding in Statistics and ML, plus hands-on programming, data analysis, model development, and IT/DevOps knowledge to build robust, scalable systems.

Anil Gurbuz

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm Anil Gurbuz, a highly motivated Machine Learning & AI Engineer with 8+ years of experience in the data space. I thrive in remote roles and enjoy working in demanding startup environments. I've been developing AI agents since LLMs emerged and I love turning ideas into deployable AI solutions. I excel at scoping, developing, deploying, and maintaining end-to-end, large-scale NLP, CV, and ML solutions. I bring strong theoretical grounding in Statistics and ML, plus hands-on programming, data analysis, model development, and IT/DevOps knowledge to build robust, scalable systems.…I'm Anil Gurbuz, a highly motivated Machine Learning & AI Engineer with 8+ years of experience in the data space. I thrive in remote roles and enjoy working in demanding startup environments. I've been developing AI agents since LLMs emerged and I love turning ideas into deployable AI solutions. I excel at scoping, developing, deploying, and maintaining end-to-end, large-scale NLP, CV, and ML solutions. I bring strong theoretical grounding in Statistics and ML, plus hands-on programming, data analysis, model development, and IT/DevOps knowledge to build robust, scalable systems.

Available to hire

I’m Anil Gurbuz, a highly motivated Machine Learning & AI Engineer with 8+ years of experience in the data space. I thrive in remote roles and enjoy working in demanding startup environments. I’ve been developing AI agents since LLMs emerged and I love turning ideas into deployable AI solutions.

I excel at scoping, developing, deploying, and maintaining end-to-end, large-scale NLP, CV, and ML solutions. I bring strong theoretical grounding in Statistics and ML, plus hands-on programming, data analysis, model development, and IT/DevOps knowledge to build robust, scalable systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Founding AI Engineer at Datalyzer

August 1, 2025 - Present

Datalyzer is an AI data analyst (CodeAct agent) that writes code and executes it in a sandbox environment, accesses data sources like databases, and creates analysis reports including graphs and statistics-based explanations.

AI & ML Engineer at JDoodle

December 1, 2023 - August 1, 2025

Developed, deployed and maintained LLM-powered AI agent for complex coding tasks, including generating a whole code repository, fixing GitHub issues, executing AI-generated code, and improving code using compiler feedback. Open-sourced Flockserve for efficiently running production LLM loads; monitored and fine-tuned JDroid.

ML Engineer at Newmont Corp

November 1, 2021 - December 1, 2023

Developed, deployed and maintained an end-to-end anomaly detection-based ML solution for cyclone roping detection; CV-based solution for identifying empty plant feeders from real-time video streams; built a database connector with UI to accelerate data querying.

Data Scientist at Woodside Energy FutureLab

July 1, 2020 - October 1, 2021

Developed and deployed a ML-based decision support tool to improve purchasing decisions in the supply chain.

Teaching Associate at Monash University Data Science & AI Department

July 1, 2019 - October 1, 2021

Conducted weekly tutorials for Modeling for Data Analysis, Data Analytics, Statistical Data Modelling and best practices of model development for various ML problems.