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Let's build with AI
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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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SyedAffan10/README.md

Syed Affan Hussain

AI Engineer | Generative AI | LLM Systems | Computer Vision

About

AI Engineer based in Germany with 5+ years of experience. I build practical AI systems with a focus on production-ready workflows, clear architecture, and measurable impact. My work spans generative AI, NLP, computer vision, and scalable service design, with a strong focus on agentic workflows and modern LLM orchestration.

I also enjoy public speaking, community building, and collaborating on open-source AI projects.

Coding illustration

Experience

AI Engineer (Working Student) — EDR Software GmbH, Munich, Germany (Oct 2025 – Present)
→ Built multi-tenant RAG chatbots integrating Confluence, Jira & internal knowledge bases
→ Built an LLM-powered defect classification system from image-based inputs

AI Engineer — Lilia AI, USA (Remote) (Mar 2025 – Oct 2025)
→ Built a multi-agent medical imaging pipeline — 92% diagnostic accuracy, 60% less review time
→ Delivered explainable Grad-CAM diagnostics; deployed containerized systems built to align with HIPAA requirements

AI Engineer — HNH Soft Tech Solutions, Pakistan (Mar 2023 – Mar 2025)
→ Built a RAG virtual assistant serving 100K+ contextual queries in production
→ Cancer segmentation pipeline (92% Dice Score); MLflow CI/CD cut deploys from 6 weeks to 7 days

AI Engineer — Digital Landscape, Pakistan (Nov 2021 – Feb 2023)
→ Fine-tuned YOLOv5 object detection; fraud detection with IBM Granite LLMs
→ Real-time ASL gesture recognition system (98% accuracy)

Education

M.Sc. Artificial Intelligence
→ Friedrich-Alexander-Universität Erlangen–Nürnberg (FAU), Germany (Apr 2025 – Apr 2027, Expected)

B.Sc. Computer Science
→ Sir Syed University of Engineering & Technology, Pakistan (Jan 2020 – Apr 2024)
→ Graduated with Distinction (Top 1%, Valedictorian)

Certifications

GitHub Analytics

Tools & Technologies

Programming

Python SQL Bash TypeScript

AI / ML Frameworks & Libraries

TensorFlow PyTorch Keras scikit-learn OpenCV Pandas NumPy YOLO MediaPipe

Agentic AI & LLM Frameworks

LangChain LangGraph Pydantic AI MCP

Generative AI & LLMs

OpenAI Hugging Face Claude Ollama Llama Gemini DeepSeek Mistral RAG Prompt Engineering Hybrid Search Re-ranking LoRA Fine-Tuning llama.cpp GGUF vLLM

MLOps & LLM Evaluation

MLflow GitHub Actions LangSmith Langfuse DeepEval

AI Governance

GDPR EU AI Act

Web Frameworks & APIs

FastAPI Django Flask Streamlit React

Cloud & DevOps

AWS Azure GCP Amazon Bedrock Docker Kubernetes Terraform Git GitHub CI/CD Azure OpenAI Azure AI Search

Databases

PostgreSQL MongoDB SQLite

Vector Databases

Chroma Faiss Pinecone Qdrant

Development Tools

VS Code Cursor Jupyter Postman Claude Code GitHub Copilot

Building reliable AI systems

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  1. Eventra-AI Eventra-AI Public

    EventraAI is an advanced AI-powered Security Operations Center (SOC) assistant that automates security incident analysis, investigation, and response through intelligent multi-agent workflows. Buil…

    Python 1

  2. European-Health-Data-Space-Hackathon- European-Health-Data-Space-Hackathon- Public

    Gatekeeper: an AI-assisted Health Data Access Body for the European Health Data Space (EHDS). It decides data requests under EU Regulation 2025/327 in seconds, explains each decision in plain langu…

    TypeScript

  3. Diet-Recommendation-System Diet-Recommendation-System Public

    This project implements a Diet Recommendation System using machine learning and Streamlit.

    Python 5

  4. Early-Disease-Detection-using-Multinomial-Naive-Bayes-Algorithm Early-Disease-Detection-using-Multinomial-Naive-Bayes-Algorithm Public

    This project focuses on early disease detection using the Multinomial Naive Bayes algorithm.

    Jupyter Notebook 1

  5. Web-Based-Brain-Tumor-Detection Web-Based-Brain-Tumor-Detection Public

    This is a WEB BASED BRAIN TUMOR DETECTION using ARTIFICIAL INTELLIGENCE / DEEP LEARNING with around 92% accuracy with the help of Python and Machine Learning.

    Jupyter Notebook 1

  6. Talk-With-Avatar-Using-DID-Agents Talk-With-Avatar-Using-DID-Agents Public

    This project demonstrates the use of D-ID's talks API for creating AI-driven video agents capable of interactive communication. The front-end is built using HTML, CSS, and JavaScript, and it integr…

    JavaScript