About
Highly competent Software/Biomedical Engineer with over six years of experience developing complex software systems, driven by a passion for tackling challenging problems in AI/ML, quantum computing, distributed systems, and cybersecurity. Currently pursuing a master’s in quantum computing to innovate at the intersection of advanced quantum technologies and real-world applications. I work as a full-stack SWE for startups, delivering diverse solutions spanning full-stack development, DevOps, ZKP, and LLM experimentation. Open to opportunities as a Software, Data, or ML Engineer—feel free to reach out!
Work Experience
Varga CapitalConsulting
Owner / Consultant
Mala ConnectRemote - Köln
SWE
[Confidential]Remote - Toronto/Prague
Software Security Developer
SECURE Energy ServicesContract
Software Consultant
Embedded Systems Products Inc.Contract
Embedded Systems Consultant
Projects
All projects I have built myself or have made significant contributions to.
Quantum Semantic Hilbert Space Search
Semantic Hilbert Space Search (SHS), combining quantum computing and natural language processing (NLP) to enable efficient semantic searches across text corpora.
Winner at Q2B24 Silicon Valley Hackathon, hosted by IBM Quantum, Aqora, & QCWare.
Q-Impact
Empowering Sustainable Investment through Quantum Advantage.
Winner at 2024 GenQ Hackathon, hosted by QAI Ventures.
EzServe
An LLM-powered tableside server built to run on a Raspberry Pi.
Intelli-Plan
An Atlassian Jira plugin leveraging LLMs to generate software sprints.
Life-Sized Humanoid Robot
Portions of capstone work - Software for life-sized humanoid robot.
Distributed Coupon Application
Distributed coupon application implementing replication, fault tolerance, consistency and synchronization.
Speaker Recognition using GMM
Developed a speaker recognition system using Gaussian Mixture Models and Mel Frequency Cepstral Coefficients.
Course Critic
Review, rate and discuss courses on Course Critic; a full-stack application built for students and peers.
Fruit Classification using CNN
Designed and trained a Keras-based Convolutional Neural Network for efficient fruit image classification, achieving high accuracy with advanced data preprocessing and model optimization techniques.