Hello! Welcome to my humble abode in the Digital World.

Who am I?

• Name: Mahdi Ettehadnejad

• Age: 19

• Role: Engineer — currently working on agentic architectures and building backend systems

• Ambitions: To build the impossible, to know the unknown.

• Languages: Persian, English

• Work History:

• Current Role:

  • Engineer at Chadco — Designing and implementing scalable backend systems for high-impact projects such as AnyWhereAnyCar. Focused on performance, architecture, and execution.

• Previous Roles:

  • Backend Engineer & Architect at Iran Laser — Led the development and architecture of several applications tailored for the specialized devices produced by the company.
  • Lead Backend Engineer at inja.homes — Architected and developed the backend from the ground up for a residential platform. Led the backend team and was instrumental in creating a scalable, high-performance infrastructure over two years.

💫 About Me:

Hey! 👋 I'm Mahdi Ettehadnejad, a 19-year-old engineer. Currently focused on AI, ML, and backend systems. 💻⚙️ I'm deeply driven by the desire to build intelligent systems that serve humanity, as extensions of thought, care, and creativity. Right now, I’m building real-world systems powered by LLMs, retrieval pipelines, deep learning, and robust infrastructure—while researching about cognitive architectures and the deeper mechanics of intelligence. Let's collaborate and shape the future together. ✨

🧰 Tools & Technologies I Use

🧠 Machine Learning, Deep Learning & RAG

• Core Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, MLflow, DVC
• Signal & Data Processing: NumPy, Pandas, SciPy, librosa, OpenCV
• LLM Engineering & Orchestration: OpenAI API, Gemini API, LangChain, Haystack, LangSmith
• Training & Fine-Tuning: Prompt design, RLHF concepts, LoRA, adapters, hyperparameter tuning
• Stateful Memory & Retrieval: RAG pipelines, vector search, chunking strategies, JSON schema validation
• Vector & Graph Stores: FAISS, pgvector, Qdrant, Weaviate, Neo4j (graph-based knowledge DB)
• Experiment Tracking & Ops: MLflow, Weights & Biases, DVC
• Use Cases: Conversational agents, multi-agent reasoning, personalized assistants, long-context workflows

🧱 Software & Infrastructure

• Languages: Python, Go, TypeScript, JavaScript
• Frameworks: FastAPI, Flask, NestJS, Express.js, Streamlit
• Architectures: Clean Architecture, microservices, event-driven design, WebSocket services
• Databases: PostgreSQL, MySQL, MongoDB, Redis, SQLite
• Messaging & Streaming: Apache Kafka, RabbitMQ, Redis Streams
• Testing & Observability: Pytest, Jest, Postman, Prometheus, Grafana
• CI/CD & DevOps: Docker, Docker Compose, GitHub Actions, Nginx, AWS S3 & Lambda, Cloudflare DNS

Connect with me 🔭

🏆 Github Profile Trophy

📊 GitHub Stats:

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