About

AI Master's Student & Systems Engineer

AI Master's student with robust AI knowledge, practical programming skills, and a record of thriving in collaborative environments. Enthusiastic about machine learning, data analysis, and strengthening system security.

  • 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 Master's student with robust AI knowledge, practical programming skills, and a record of thriving in collaborative environments. Enthusiastic about machine learning, data analysis, and strengthening system security, seeking a Master's thesis in Generative AI that leverages expertise in Python, ML, and data analysis.

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Professional Summary

Alwin Paul

AI Master's Student & Systems Engineer

Passionate AI Master's student at Brandenburg Technical University with hands-on experience as a Systems Engineer at Perinet GmbH. Specialized in developing cutting-edge AI solutions, including GPT model deployment, RAG systems, and computer vision applications. Strong background in cybersecurity with proven expertise in penetration testing and threat analysis. Seeking to leverage advanced AI/ML skills and security expertise in challenging roles that drive innovation and technological advancement.

Key Strengths
Generative AI & LLM Deployment Computer Vision & Object Detection Cybersecurity & Penetration Testing Python & Machine Learning

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.

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

Professional Experience

Working Student - Systems Engineer

July 2024 - Present

Perinet GmbH, Cottbus, Germany

  • Explored GPT model deployment on resource-constrained ARMv7 Cortex-A8/A9 devices; evaluated frameworks like llama.cpp, TinyLlama, and WebAssembly (WASM) for on-device inference.
  • Analyzed architectural constraints and software incompatibilities of 32-bit ARM architectures.
  • Developed an intent-based chatbot using Natural Language Processing (NLP) techniques as an alternative solution under hardware limitations.
  • Created a Retrieval-Augmented Generation (RAG) system using Python, Ollama, and Llama model.
  • Integrated company product documentation into the RAG system, establishing a knowledge base for efficient information retrieval.

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.

Key Projects

SmartTuner: GRPO Reinforcement Learning System for Small Language Models

  • Implemented Group Relative Policy Optimization (GRPO) algorithm from scratch 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 for reproducible ML experiments.

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 performance metric modules, indicating the capability to derive and implement methods for optimization in dynamic environments.

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.

Portfolio

  • All
  • Projects
  • Achievements

SmartTuner: GRPO Reinforcement Learning System

Implemented Group Relative Policy Optimization (GRPO) algorithm for training small language models (135M-600M parameters) with 46% → 60%+ accuracy improvements

AI/ML Football Analysis System

YOLO-based object detection with ByteTrack tracking, K-Means clustering, and Optical Flow techniques

Google Cloud Readiness Program

TryHackMe - Top 1%

112 rooms completed, 15 badges earned

Cybersecurity Engineer Internship

Skills

Comprehensive technical expertise spanning AI/ML, programming, cybersecurity, and system administration. Proven ability to work with cutting-edge technologies and implement innovative solutions in real-world scenarios.

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:

Location:

Cottbus, Germany

Call:

+4917677354827