Martin Horvath
@martinhorvath
Full Stack Engineer building cloud-native microservices and data platforms with Python, React, and event-driven architectures.
What I'm looking for
I’m a Full Stack Developer with 10+ years of experience designing and delivering high-performance applications across fintech, SaaS, and analytics. I build scalable platforms with Python (Django, Flask, FastAPI), React/Next.js, and cloud-native microservices—grounded in GDPR-compliant systems and event-driven architectures.
My recent work includes migrating Airflow versions and refactoring legacy pipelines, replacing duplicated notification logic, and standardizing authorization and permission checks. I also integrate AI/ML models (e.g., TensorFlow credit scoring) and help teams improve reliability, observability, and long-term architecture while mentoring engineers.
Experience
Work history, roles, and key accomplishments
Software Engineer
Incubeta
Mar 2025 - Present (1 year 1 month)
Led the migration of Airflow from v2 to v3, addressing DAG parsing and executor behavior to stabilize scheduled runs. Refactored legacy pipelines, replaced Fivetran ingestion with Datalaksa, and built a centralized NotificationService with retry/fallback logic while standardizing Auth0-based authorization.
Built FastAPI and Django payment microservices using async processing and transaction-safe patterns supporting 1M+ monthly transactions. Improved checkout conversion by 12% and reduced fraud-related chargebacks by 15% through idempotency-based payment APIs, Kafka event-driven billing, and AI credit scoring integration.
Full Stack Engineer
Edge Network — The Supercloud
Jan 2021 - Dec 2023 (2 years 11 months)
Developed multi-tenant Django/React microservices with strict tenant isolation and implemented GraphQL APIs by eliminating N+1 query issues. Migrated to Kubernetes, built Kafka-based real-time event pipelines, and applied ML predictive scaling, reducing infrastructure costs by 18%, event processing latency by 35%, and mean time to detect issues by 40%.
Built ERP modules in Ruby on Rails for inventory, supply chain, and financial reporting supporting 3,000+ employees. Implemented Python analytics pipelines and AI anomaly detection, reducing reporting latency by 50%, downtime by 8%, and manual release effort by 60% using Docker and Jenkins.
Software Developer
WEZEO
Jul 2015 - Aug 2017 (2 years 1 month)
Developed Django applications for finance and healthcare clients with strict validation and compliance requirements, and built REST APIs for mobile apps with backward compatibility. Containerized and deployed services on AWS (EC2/RDS), optimizing SQL access patterns to improve slow endpoint performance by 25% while strengthening CI/CD with Jenkins and GitLab CI.
Education
Degrees, certifications, and relevant coursework
Slovak University of Technology in Bratislava
Bachelor’s Degree in Computer Science, Computer Science
2011 - 2015
Earned a Bachelor's degree in Computer Science from the Slovak University of Technology in Bratislava (2011–2015).
Tech stack
Software and tools used professionally
Fivetran
Blockchain
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Django
Ruby on Rails
Next.js
Redis
Terraform
Jira
React
AngularJS
React Query
JavaScript
ES6
PHP
TensorFlow
scikit-learn
Kafka
RabbitMQ
FastAPI
Grafana
Prometheus
Datadog
GraphQL
AWS Lambda
RSpec
pytest
JUnit
Auth0
Airflow
SQL
Hotjar
Refine
Remote
Safe
Jan
Availability
Location
Salary expectations
Job categories
Skills
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