Available to hire
AI/Machine Learning engineer with a BEng Software Engineering background, focused on end-to-end AI-driven web applications. Builds production systems integrating machine learning models and LLM agents from architecture through full-stack deployment.
Experienced collaborating with product stakeholders to translate requirements into robust, scalable systems, and comfortable owning projects independently while maintaining high code quality through best practices and peer review.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Hungarian
Fluent
Work Experience
Developer — Automated Data Pipeline, ML Classifier & VPS Infrastructure
May 1, 2026 - May 1, 2026Architected and shipped a production-ready multi-sourced data collection pipeline using REST APIs and web scraping with residential proxy rotation for anti-bot bypass. Implemented JSON deduplication and achieved processing of 10k+ records in under 1 ms. Trained and deployed a local ML classifier using scikit-learn with SVC and BGE-based sentence embeddings, with an automated feedback flywheel for continuous retraining using positive/negative outcome labels without manual intervention. Provisioned and hardened a Linux VPS (Ubuntu 24.04) with SSH key-only authentication, fail2ban brute-force protection, and UFW deny-by-default firewall policy. Containerized a full-stack setup with Docker Compose across scraper/processor, ML scorer service, and Telegram bot. Developed a Telegram bot (long-polling) for real-time pipeline control, on-demand document delivery, and training-label collection. Integrated headless Chrome PDF generation and Claude API for automated single-shot document drafting;
Intern — Full-Stack On-Chain Data Dashboard at Syntagma Labs
January 1, 2026 - May 31, 2026Built a full-stack on-chain data dashboard in Python and MongoDB to track market indicators, stablecoin de-pegging events, and real-time blockchain fee dynamics. Designed a Salesforce crypto wallet plugin via REST API integration for live wallet balances and data transfer, and constructed a cross-chain arbitrage tracking dashboard analyzing price discrepancies and related metrics.
Lead Developer & Full-Stack Engineer (Messaging Integrations) at Flow Solutions
June 1, 2024 - PresentLead Developer & Full-Stack Engineer at Flow Solutions
June 1, 2024 - PresentLed development of an AI-powered multi-channel lead qualification platform. Engineered end-to-end architecture using Go (Fiber) on the backend and TypeScript/React on the frontend, integrating WhatsApp, Instagram, Messenger, Discord, and Telegram. Designed and deployed a prompt engineering evaluation platform supporting multi-model A/B testing across scenario suites, with AI-judged output scoring and automated refinement loops plus promotion-gate approval workflows for large-scale LLM-driven outreach optimization. Owned security infrastructure (JWT, OAuth2, and TOTP/2FA) across services, established code review processes and testing gates for production stability, and coordinated a 2–3 person remote team. Managed Stripe payments integration, Prometheus metrics/observability, OpenAI API integration, gRPC service communication, MongoDB + SQLite data layer, and multi-channel notification infrastructure. Built and maintained end-to-end test infrastructure using Playwright (TypeScript) co
ML Engineer — NLP & Text Processing
January 1, 2024 - December 31, 2025Developed NLP text classification systems using sentence embeddings (BGE and sentence-transformers) with an SVC head. Applied digital signal processing techniques such as spectral analysis, filtering, and linear prediction to time-series denoising and feature extraction for production ML pipelines.
ML Engineer — Computer Vision & Model Compression
January 1, 2024 - December 31, 2025Implemented a 7-class aerial land-use classifier using a self-captured 210-image satellite dataset. Applied AlexNet transfer learning. Performed structured network pruning using L1 norm, L2 norm, correlation-based, and random filter selection strategies; pruned sensitivity sweeps (10–80%) and conducted FLOPs estimation. Visualized activation maps for model interpretability and used PyTorch/TorchVision/scikit-learn for training and evaluation.
Education
BEng Software Engineering at University of Sheffield
January 11, 2030 - July 23, 2026High School Diploma at All Saints Catholic School
January 1, 2019 - December 31, 2021Qualifications
Pine Script Course
January 1, 2023 - July 23, 2026TradingView
January 1, 2023 - July 23, 2026Industry Experience
Software & Internet, Computers & Electronics, Financial Services, Gaming, Media & Entertainment, Professional Services, Other
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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