Skip to content
View Shahriyar31's full-sized avatar
:octocat:
Pursuing Master's in Data Science
:octocat:
Pursuing Master's in Data Science

Highlights

  • Pro

Block or report Shahriyar31

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Shahriyar31/README.md

Typing SVG

     

Profile Views    Status    Location


AI Governance & DevSecOps Console

🛡️ Bridging Policy & Production Code

I operate where regulatory requirements and hands-on system architecture converge. While policy analysts write compliance papers and engineers code black boxes, I write Compliance-as-Code—translating the EU AI Act, GDPR, and NIST AI RMF into automated CI/CD security gates and audited RAG safeguards.

Currently Working Student at Nordex Group and researching security threats within the Model Context Protocol (MCP) at TU Hamburg.

Core Objective: Guaranteeing that enterprise agentic systems remain secure, deterministic, and fully compliant under global legal frameworks.

Policy & Code Intersection
🎓 Affiliations & Focus Areas

  • Academic Base: Hamburg University of Technology (TU Hamburg) — MSc Data Science. High-dimensional data analytics, OT security, and AI system modeling.
  • Corporate Base: Nordex Group — Working Student.
  • Specializations: GDPR Article 35 (DPIAs), EU AI Act Annex III classifications, OWASP LLM Top 10 auditing, and Model Context Protocol (MCP) threat modeling.

🛡️ Featured Platform: Argus AI

The Automated EU AI Act & GDPR Auditing System

     
graph TD
    U["👤 User Request"] --> A["🧠 LangGraph Agent Core"]
    
    subgraph Regulatory Analysis
        A --> C1["⚖️ EU AI Act Router"]
        A --> C2["📋 GDPR Art. 35 DPIA"]
        A --> C3["🛡️ OWASP LLM Scanner"]
    end
    
    C1 & C2 & C3 --> H["✋ Human-in-the-Loop Gate"]
    H --> P["📄 PDF Compliance Report"]
    
    A <--> DB[("🗄️ pgvector store<br>(665+ Rules)")]
    A <--> LLM["🚀 Groq Llama-3.3-70B"]
    
    P --> Infra["☁️ Azure Container Apps<br>(Prometheus · Grafana · Sentry)"]
    
    %% Style classes
    classDef main fill:#1d6ef5,stroke:#1d6ef5,color:#fff,stroke-width:2px;
    classDef agent fill:#8b5cf6,stroke:#8b5cf6,color:#fff,stroke-width:2px;
    classDef database fill:#0089D6,stroke:#0089D6,color:#fff,stroke-width:2px;
    classDef alert fill:#d83b01,stroke:#d83b01,color:#fff,stroke-width:2px;
    classDef success fill:#107c10,stroke:#107c10,color:#fff,stroke-width:2px;
    classDef host fill:#0f172a,stroke:#3b82f6,color:#fff,stroke-width:1px;

    class U main;
    class A,LLM agent;
    class DB database;
    class H alert;
    class P success;
    class Infra host;
Loading

🛠️ Deep Tech Architecture

  • Intelligent LangGraph Router: Automates risk classification under the EU AI Act (High, Limited, Minimal) and dynamically routes workflows.
  • Compliance Automation: Autogenerates GDPR Article 35 Data Protection Impact Assessments (DPIAs) and runs OWASP LLM Top 10 vulnerability checks.
  • Regulatory Knowledge Base: Standardized hybrid vector search on a pgvector store indexing 665+ regulatory database chunks, querying Groq Llama-3.3-70b.
  • DevSecOps Gateways: Integrates SCA, SAST, and Trivy scans inside the CI/CD pipeline, blocking builds on critical findings (114+ successful builds).

🏭 Professional Experience

  • Working Student — Nordex Group (Aug 2025 – Present | Hamburg, Germany)

🔬 Engineering Portfolio

Status Project Name One-Line Narrative Technology Stack Action
Digital Twin Dashboard Real-time industrial telemetry. Shrank container image size from 900MB to 150MB. Kafka Flink InfluxDB Dash View Code 🔗
📊 StockFlow End-to-end real-time financial stream ingestion pipeline. Kafka AWS (S3, Glue, Athena) Python View Code 🔗
🐔 Poultry Shield VGG16 classifier with 97.51% accuracy and versioned DVC data pipeline. TensorFlow Flask DVC EC2 View Code 🔗
☢️ Radiation Tracker Containerized real-time environmental radiation sensor stream processing. Kafka Flink GCP Docker View Code 🔗

🛠️ Technical Arsenal

⚖️ AI Governance & Compliance

🤖 AI, LLM & Agentic Systems

⚙️ DevSecOps, Cloud & Infrastructure

🔍 Security Scanning & SCA

📊 Data pipelines & Monitoring

📈 GitHub Analytics

📊 GitHub Infographics


GitHub contribution grid snake animation

♟️ Community Chess Tournament

Welcome to my online open chess tournament! Anyone visiting my profile can play. Click any legal move link below to automatically submit a turn via a GitHub Issue!

It is black's turn to play!

H G F E D C B A
1 1
2 2
3 3
4 4
5 5
6 6
7 7
8 8
H G F E D C B A

Move History & Contributors

Latest Moves

Move Author
A2 to A3 @Shahriyar31
Start game @System

Top Contributors

Total moves User
1 @Shahriyar31

Select a Move

FROM TO (Just click a link!)
A7 A5, A6
B7 B5, B6
B8 A6, C6
C7 C5, C6
D7 D5, D6
E7 E5, E6
F7 F5, F6
G7 G5, G6
G8 F6, H6
H7 H5, H6

⚡ System Operation Logs (Recent Activity)

$ cat ~/.logs/activity.log
  1. ❗ Opened issue #3 in Shahriyar31/Shahriyar31
  2. ❗ Opened issue #2 in Shahriyar31/Shahriyar31
  3. ❗ Opened issue #1 in Shahriyar31/Shahriyar31

Hamburg, Germany · TU Hamburg MSc Data Science · Working Student @ Nordex Group

Popular repositories Loading

  1. Shahriyar31 Shahriyar31 Public

    Config files for my GitHub profile.

    Python 1

  2. My-Todo-App My-Todo-App Public

    A minimalistic To-Do App.

    Python 1

  3. pdf-template-generator pdf-template-generator Public

    Created a basic pdf template generator using Python and PyFPDF Library.

    Python 1

  4. PDF-Invoice-Generator PDF-Invoice-Generator Public

    Developed a Python-based PDF invoice generator, leveraging the power of pandas for data manipulation and utilizing libraries like glob, fpdf, and pathlib for efficient file handling and document cr…

    Python 1

  5. Daily-News-Email-Digest Daily-News-Email-Digest Public

    Python-powered daily news digest delivered straight to your inbox.

    Python 1

  6. Book-Analysis Book-Analysis Public

    Book Analysis Project: "Miracle in the Andes" This book analysis project uses Python and Natural Language Processing (NLP) to process and analyze the text from "Miracle in the Andes." The project i…

    Jupyter Notebook 1