Profile Summary
My journey in AI engineering has been marked by a relentless pursuit of cutting-edge solutions and a passion for pushing the boundaries of what's possible. From building predictive models to deploying AI-powered applications, I thrive in environments where creativity and technical expertise converge
Primary Skills
AWS | 7 yrsMachine Learning | 6 yrsAWS Lambda | 5 yrsFlask | 6 yrsApache Spark | 5 yrsDocker | 6 yrsTerraform | 5 yrs
Culture Profile
In workplace, I am known for . . .
- being a dad, programmer, and sports fan.
- my adaptability and resilience.
I thrive in environments . . .
- that encourage innovation.
- that prioritizies empathy.
I struggle in environments . . .
- that are lacking of collaboration or communication channels between teams.
- where AI initiatives aren't aligned with organizational goals.
Work Experience
ArisGlobal
Senior IA Engineer
- Oct, 2022 - Present
- Remote
- Software and data architecture design in AWS cloud.
- Application migration from on-premises to AWS cloud. Refactoring and rearchitecting.
- Orchestrating the daily activities of 13 engineers (full-stack, frontend, DevOps, and platform) and 2 scrum teams.
- Designing and implementing an AWS-based, multi-tenanted SaaS architecture.
- Generative AI and LLM integration in a commercial product.
Skills
Amazon EMRAmazon OpenSearch ServiceAmazon Simple Notification Service (AWS SNS)AWS FargateAWS LambdaMicrosoft Azure portalElasticsearchApache SparkDevOps
Industries
Software
TraceRiser
CTO Cloud Architecture
- Aug, 2021 - Oct, 2022
- Remote
- Development of a cloud-based Robotic Process Automation (RPA) software for automating financial accounting and auditing workflows.
- I spearheaded the design and implementation of scalable cloud infrastructure, ensuring it could handle varying workloads and accommodate future growth.
- I led the evaluation and selection process for cloud service providers, considering factors such as performance, reliability, security, and cost-effectiveness.
- I introduced and integrated DevOps practices within the organization, fostering collaboration between development and operations teams and streamlining the deployment process.
- I continuously optimized the cloud architecture to balance performance requirements with cost considerations, leveraging tools and techniques such as auto-scaling, instance rightsizing, and reserved instances.
Skills
AWSMachine LearningAmazon S3 (AWS S3)AWS LambdaMicrosoft Azure portalTerraform
Industries
Financial ServicesFintech
Nokia Bell Labs
Machine Learning Engineer
- Dec, 2016 - Aug, 2021
- Remote
- Gathered relevant datasets from various sources such as databases, APIs, or web scraping.
- Engineered new features from raw data to improve model performance.
- Developed machine learning models using algorithms such as linear regression, decision trees, random forests, or neural networks.
- Conducted rigorous validation tests using techniques like k-fold cross-validation or bootstrapping.
- Deployed machine learning models into production environments using frameworks like TensorFlowServing, Flask, or Docker.
Skills
Computer VisionDeep LearningMachine LearningNatural Language ProcessingFlaskTensorFlowDocker
Industries
Telecommunications
Education
Master's degree
- Computer Science
- Pázmány Péter Katolikus Egyetem, Hungary
- 2016
Doctoral degree
- Operation Research, Machine Learning
- Pázmány Péter Katolikus Egyetem, Hungary
- 2021
Certifications
AWS Certified Security – Specialty
- Amazon Web Services (AWS)
- 2023
AWS Certified Solutions Architect – Professional
- Amazon Web Services (AWS)
- 2023
All Skills
Cloud
- AWS | 7 yrs
- Amazon EMR | 5 yrs
- Amazon OpenSearch Service | 5 yrs
- Amazon S3 (AWS S3) | 5 yrs
- Amazon Simple Notification Service (AWS SNS) | 5 yrs
- AWS Fargate | 5 yrs
- AWS Lambda | 5 yrs
- Microsoft Azure portal | 5 yrs
AI
- Computer Vision | 6 yrs
- Deep Learning | 6 yrs
- Machine Learning | 6 yrs
- Natural Language Processing | 6 yrs
Databases
- Elasticsearch | 5 yrs
Frameworks
- Flask | 6 yrs
Libraries
- Apache Spark | 5 yrs
- TensorFlow | 6 yrs
Paradigms
- DevOps | 5 yrs
Tools
- Docker | 6 yrs
- Terraform | 5 yrs