Vinko Kodžoman

Senior Software Engineer

Los Angeles, California, United States9 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in Machine Learning and Software Development.
  • Proven track record in building scalable systems.
  • Strong background in data engineering and big data technologies.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in gaming and data engineering.

Contact

Skills

Core Skills

Machine LearningSoftware DevelopmentData Engineering

Other Skills

PythonBig DataDistributed SystemsKubernetesTensorFlowDockerAWSTerraformRedisMySQLElasticSearchScalaSparkJenkinsGo

About

Always growing as a Machine Learning Engineer, enjoy working on the backend side of things with big data, distributed systems, and machine learning.

Experience

9 yrs 9 mos
Total Experience
3 yrs 3 mos
Average Tenure
4 yrs 8 mos
Current Experience

Netflix

Senior Software Engineer

Sep 2021Present · 4 yrs 8 mos · California, United States

  • Senior Software Engineer @ Machine Learning Platform
  • Working on improving the ML experience at Netflix.
PythonMachine LearningSoftware DevelopmentBig DataDistributed Systems

Riot games

Staff Software Engineer

Aug 2017Sep 2021 · 4 yrs 1 mo · Greater Los Angeles Area

  • Staff Software Engineer - Machine Learning @ AI Accelerator (research AI team) - 04/2019 - 09/2021
  • Building software and infrastructure to support researchers (reinforcement learning, recommender systems, machine learning).
  • Building a scalable RL platform to unlock faster iteration and code sharing between different product engagements.
  • Technologies used: Python, Kubernetes, TensorFlow, Docker, AWS, Terraform, Redis, MySQL, ElasticSearch
  • Software Engineer - Data @ Riot Direct (network infrastructure team) - 08/2017 - 04/2019
  • Doing engineering work with a focus on product development for our network infrastructure (internal ISP) team - Riot Direct.
  • Creating products, services, data processing pipelines (batch and streams), tools, automation (CI/CD), and reports to unlock visibility into our network and make triaging easier and more available across the organization.
  • Technologies used: Python, Scala, Spark, Docker, Jenkins, AWS, ElasticSearch, Go, Kafka, Hive, Tableau
PythonKubernetesTensorFlowDockerAWSTerraform+12

Reversinglabs

Software Engineer

Mar 2016Feb 2017 · 11 mos · Zagreb, Croatia

  • Member of Threat Intelligence team working in Automated Harvesting (ingestion, storage, analysis and processing of unstructured data from the web).
  • Initiated the development of an in-house asynchronous ingestion framework, collaborated on its implementation, design and its supporting ingestion pipeline, which decreased the average time of building and maintaining web crawlers.
  • Technologies used: Python, Docker, Linux, Flask, PostgreSQL, RabbitMQ
PythonDockerLinuxFlaskPostgreSQLRabbitMQ+1

Education

University of Zagreb / Sveučilište u Zagrebu

Master of Science (M.S.) — Computer Software Engineering

Jan 2015Jan 2017

University of Zagreb / Sveučilište u Zagrebu

Bachelor of Science (B.S.) — Computer Science

Jan 2012Jan 2015

Ruđer Bošković Technical School

Computing

Jan 2008Jan 2012

Stackforce found 100+ more professionals with Machine Learning & Software Development

Explore similar profiles based on matching skills and experience