Alwin Paul
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About
AI Engineer & Machine Learning Specialist in Germany
AI Engineer in Germany with expertise in machine learning, deep learning, and generative AI. Skilled in LLM deployment, RAG systems, and computer vision. Available for AI Engineer positions in Berlin, Munich, Frankfurt, Hamburg, and across Germany.
- Birthday: 22 March 2000
- Website: https://alwinpaul.me/
- Phone: +4917677354827
- City: Cottbus, Germany
- Age: 25
- Degree: Master's in AI
- Email: alwin.paulpv@gmail.com
Currently pursuing Master's in Artificial Intelligence at Brandenburg Technical University with expertise in machine learning, data analysis, and cybersecurity. Working as a Systems Engineer at Perinet GmbH, exploring GPT model deployment and developing innovative AI solutions. Passionate about Generative AI and seeking opportunities in cutting-edge AI research.
Resume
AI Engineer in Germany with hands-on experience in machine learning, deep learning, and generative AI. Expert in LLM deployment, RAG systems, computer vision, and enterprise AI solutions. Seeking AI Engineer positions in Berlin, Munich, Frankfurt, Hamburg, or remote across Germany.
Professional Summary
Alwin Paul
AI Engineer & Machine Learning Specialist | GermanyAI Engineer based in Germany with proven experience developing enterprise AI solutions at Perinet GmbH. Specialized in LLM deployment, Graph RAG systems, generative AI, and computer vision applications using TensorFlow, PyTorch, and LangChain. Currently completing Master's in AI at Brandenburg Technical University. Seeking AI Engineer positions in Berlin, Munich, Frankfurt, Hamburg, or remote opportunities across Germany.
Key Strengths
LLM Deployment & RAG Systems
Computer Vision & Deep Learning
TensorFlow & PyTorch Expert
Enterprise AI Solutions
Education
Master of Science in Artificial Intelligence
2022 - Present
Brandenburg Technical University, Cottbus, Germany
Key subjects: Data Mining, Deep Learning, Data Warehouse, Information Retrieval, Explainable Machine Learning, Image Processing and Computer Vision.
Bachelor of Computer Applications
2018 - 2021
Mahatma Gandhi University, Kottayam, India
Key subjects: Data Structures, Database Management Systems, Design and Analysis of Algorithms, Software Engineering, Computer Networks.
Key Projects
SmartTuner: GRPO Reinforcement Learning System for Small Language Models
- Implemented Group Relative Policy Optimization (GRPO) algorithm for training small language models (135M-600M parameters) to perform logical reasoning tasks.
- Developed complete RL pipeline with experience collection, advantage calculation, and PPO clipped surrogate loss implementation achieving 46% → 60%+ accuracy improvements.
- Built supervised fine-tuning (SFT) system with LoRA adapters for parameter-efficient training, generating synthetic reasoning data via OpenAI API integration.
- Created comprehensive visualization suite with real-time training monitoring and engineered modular CLI system with configurable hyperparameters.
AI/ML Football Analysis System
- Implemented YOLO-based object detection and ByteTrack for robust tracking, demonstrating the ability to apply AI techniques to complex real-world scenarios.
- Utilized K-Means clustering and Optical Flow techniques, showcasing proficiency in applying various AI algorithms.
- Developed ball possession tracking logic determining which player possesses the ball, computing team ball control percentages with interpolation handling for missing detections to ensure temporal consistency.
- Applied perspective transformation and camera motion compensation to convert pixel coordinates to real-world measurements, enabling accurate speed and distance calculations for player performance evaluation.
Professional Experience
AI Engineer - Working Student
July 2024 - Present
Perinet GmbH, Cottbus, Germany
- Architected and deployed a Graph RAG system to address fragmented internal documentation, troubleshooting guides, and FAQs across multiple sources. Built relationship-aware knowledge graphs using Python, LangChain, Neo4j, and embedding models to enable contextual information retrieval that captures document interconnections and dependencies.
- Designed an intent-based chatbot utilizing Natural Language Processing (NLP) and embedding models to improve contextual understanding and user interaction.
- Explored LLM deployment and optimization on ARMv7 Cortex-A8/A9 architectures, benchmarking frameworks such as llama.cpp, TinyLlama, and WebAssembly (WASM) for efficient inference.
- Collaborated with cross-functional engineering teams to analyze system constraints and enhance on-device AI capabilities.
- Integrated AI models into internal workflows for automated knowledge base querying and product information access.
Cybersecurity Engineer Internship
May 2022 - July 2022
Virtually Testing Foundation
- Implemented red/blue team tactics and operationalized the MITRE ATT&CK framework to fortify threat detection and prevention strategies.
- Utilized Splunk for in-depth big data analysis, identifying and mitigating security threats efficiently.
- Engaged in comprehensive training sessions covering OWASP Top 10 vulnerabilities, Android hacking, and Linux backdoors.
- Developed a foundational understanding of OSINT, enabling proactive detection and response to security threats.
Achievements
TryHackMe Platform
March 2020 - Present
- Completed 112 rooms and earned 15 badges on TryHackMe, showcasing dedication to cybersecurity skill development.
- Ranked among the top 1% of users on the platform, reflecting a proactive approach to mastering enumeration and exploitation techniques.
Google Cloud Program
August 2020 - November 2020
- Demonstrated understanding of high-scale applications such as Google Search, Gmail, and YouTube.
- Developed comprehensive grasp of core concepts, including computing, application development, big data, and machine learning in cloud environments.
Certifications
IBM Cybersecurity Analyst Professional Certificate
- Cybersecurity Roles, Processes & Operating System Security
- Cybersecurity Compliance Framework & System Administration
- Introduction to Cybersecurity Tools & Cyber Attacks
- Penetration Testing, Incident Response and Forensics
- Cybersecurity Capstone: Breach Response Case Studies
- Network Security & Database Vulnerabilities
Portfolio
- All
- Projects
- Achievements
AI Engineer Skills
Comprehensive AI Engineer expertise in machine learning, deep learning, generative AI, and enterprise AI solutions. Proficient in TensorFlow, PyTorch, LangChain, and modern ML frameworks used by top AI companies in Germany.
Programming & Development
- Python
- TensorFlow
- PyTorch
- Pandas
- NumPy
- Scikit-learn
- OpenCV
- Matplotlib
AI & Machine Learning
- Generative AI
- Deep Learning
- Computer Vision
- Natural Language Processing
- GANs
- YOLO Object Detection
- Data Mining
- Explainable AI
Cybersecurity
- MITRE ATT&CK Framework
- Penetration Testing
- OSINT
- Vulnerability Assessment
- Security Analysis
- Splunk
- Network Security
- Incident Response
Tools & Technologies
- Linux/Unix Systems
- Git & Version Control
- Docker & Kubernetes
- MySQL & PostgreSQL
- Postman
- Ollama
- WebAssembly (WASM)
- Cloud Platforms
Languages
English (C1 - Advanced)
German (A2 - Elementary)
Contact
Feel free to contact me through any of these methods: