Daniel Branysh

Background

About Daniel Branysh

Software Engineer | Java & Python Expert | GenAI + Data Science Innovator | Creator of Scalable Systems I'm a Software Engineer with a passion for designing intelligent systems that scale and learn. With 5+ years of experience across enterprise backend development and emerging AI technologies, I bring a unique blend of deep engineering rigor and forward-thinking innovation. Proficient in Java and Python, I've led development on distributed systems handling 100K+ transactions/day, replatformed legacy architectures into microservices, and deployed high-availability APIs across Kubernetes and Azure. But I don't just build systems; I teach them to learn. Currently pursuing my Master’s in Data Science at the University of Texas, where I’m focused on Bayesian inference, LLMs, computer vision, and simulation-based learning. My recent work includes: Building lightweight, real-time intrusion detection systems for IoT edge devices Developing custom LLM pipelines and fine-tuning NLP models for text summarization and classification Prototyping computer vision solutions for object detection and anomaly recognition I’m especially excited about the convergence of Generative AI and large-scale software engineering -> how we can use models not just to automate tasks, but to augment human capability and rethink system design. 🧠 Tech Stack: Java, Python, Spring Boot, React, Postgres, RabbitMQ, Kafka, Azure, Docker, Kubernetes, PyTorch, Hugging Face, OpenCV, AgenticAI Interests: Systems design, GenAI, simulation-based inference, observability, and AI/ML ethics Mission: Build secure, scalable, intelligent systems that move industries forward Let’s connect and create the future! 1 line of code (and 1 well-trained model) at a time.