Portfolio
I design and build clean, practical software with strong engineering fundamentals.
Full-stack engineer with internship experience at Genesys and a research focus on private, on-device AI systems.
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- 1.Start with a featured case study to see outcomes and implementation depth.
- 2.Scan the experience section for delivery velocity and reliability signals.
- 3.Use the contact panel to reach out for full project walkthroughs.
- Production internships
2
Genesys engineering and QA automation
- Resolved defects
20+
Across customer journey and UI workflows
- Automated scenarios
22+
Playwright and Cypress reliability coverage
- Research focus
Privacy AI
Offline, progress-aware reading assistant
Selected work
Case studies with impact, tradeoffs, and implementation details
Each project card opens a focused case-study panel so hiring teams can evaluate both outcomes and engineering quality quickly.
Experience
Delivery-focused engineering across internships and teaching
This section highlights reliability, velocity, and practical contribution in real team environments.
Sep 2024 - Jan 2025
Software Engineer Intern
Genesys
Budapest
Improved reliability and delivery speed inside customer journey management workflows.
- Reached full code coverage in a key journey-management area.
- Shipped 5+ algorithmic improvements and simplified business logic paths.
- Resolved 20+ defects and delivered 10+ Cypress tests across Angular and Vue modules.
Mar 2024 - Oct 2024
QA Automation Engineer Intern
Genesys
Budapest
Built automation coverage that reduced regressions and improved confidence in releases.
- Automated 22+ high-value end-to-end scenarios in Playwright and Cypress.
- Strengthened CI pipelines with test-driven validation for auth, events, and rendering flows.
- Supported daily FedRAMP-aligned checks in a security-sensitive environment.
Sep 2024 - Jul 2025
Teaching Assistant
Eotvos Lorand University
Budapest
Guided first-year international students through programming fundamentals and practical labs.
- Mentored 20+ students in coding fundamentals and debugging habits.
- Ran lab sessions focused on clarity, consistency, and strong software basics.
Research
MeReader: Offline, Privacy-Preserving, Progress-Aware AI Reading Assistant
A private reading assistant that runs offline and avoids spoilers by constraining retrieval to the reader's current position in a book.
First Author - Eotvos Lorand University
Mohammed Efaz, Itilekha Podder, Udo Bub
Abstract
MeReader is an offline, privacy-preserving reading assistant that combines local LLMs with progress-aware retrieval to prevent future-content leakage while keeping response quality practical on consumer hardware.
Skills
Balanced stack across product, platform, and AI
Grouped by where I contribute in most team settings.
Languages
Frontend
Backend + DevOps
AI + Data
Lab
Terminal aesthetics and personal build signature
I keep this in a separate section so the main flow stays recruiter-friendly while still showing personality.
Contact
Open to software engineering roles
If your team values clean architecture and reliable delivery, I would be glad to connect.