Alwin Paul

Background

About Alwin Paul

Building intelligent systems through advanced AI research and practical implementation expertise. I'm currently pursuing my Master's in Artificial Intelligence at BTU Cottbus-Senftenberg, where I dive deep into cutting-edge domains including Reinforcement Learning, Generative AI, Computer Vision, and Explainable Machine Learning. My journey spans from theoretical research to production-ready systems, combining rigorous academic exploration with hands-on industry experience as a Systems Engineer at Perinet GmbH. What drives me is the passion for creating AI solutions that bridge the gap between research innovation and real-world impact. TOP 5 SKILLS: • Machine Learning • Reinforcement Learning • Generative AI • Python (Programming Language) • Deep Learning What I've worked on:* GRPO Reinforcement Learning system for small language model fine-tuning * Agentic RAG system with LangChain, vector databases, and LLM orchestration * CNN-based quality inspection with XAI techniques (LIME, SHAP, Grad-CAM)* Multi-agent financial analysis system using CrewAI and NLP pipeline My key interests include:* Reinforcement Learning & Language Model Fine-tuning * Generative AI and RAG system architectures * Computer Vision & Explainable AI applications * Research-to-production pipelines for scalable AI systems * Parameter-efficient training and model optimization Outside of AI, I enjoy exploring the intersection of technology and society, contributing to open-source projects, and staying curious about emerging trends in machine learning research. Let's connect if you're working on cutting-edge AI research, building production ML systems, or exploring the frontiers of Generative AI and Reinforcement Learning.