Ahmed Faraz N.

Looking for a Data Scientist to build, fix, or scale high-performance Python systems? I design custom, production-ready AI systems and robust backend architectures that deliver real business growth. I don't treat AI as a black box. Because I have built core machine learning and deep learning algorithms completely from scratch using raw mathematics and fundamental code, I understand exactly how models make decisions under the hood. During development, I actively inspect and visualize internal neurons and variables to make sure your model is truly learning—not just making lucky guesses, overfitting, or failing silently when introduced to real-world users. When pre-packaged tools break, give wrong answers, or hit performance ceilings, this deep understanding allows me to diagnose problems at the root level and build custom solutions. Where standard black-box developers hit a wall, I combine mathematical rigor with clean, scalable Python code to keep your project moving forward. ⚡ Core Capabilities - AI, LLMs & Generative Systems: Custom AI agents, smart search & RAG pipelines, research paper implementation, model fine-tuning, PyTorch/TensorFlow deployments, and deep model debugging. - Python Backend Architecture: Scalable APIs (FastAPI, Django), vector databases, and cloud infrastructure. - Quantitative Trading Systems: Automated trading bots, custom backtesting engines, and exchange API integrations. Ready to build an AI system that actually delivers results? Click "Invite to Job" to discuss your project. Technologies: Python | PyTorch | TensorFlow | Scikit-learn | Data Science | Deep Learning | Machine Learning | AI Engineer | LLM | RAG | AI Agents | LangChain | Vector Databases | Quantitative Trading | Algorithmic Trading | Trading Bot | Backtesting | VectorBT | Time Series | FastAPI | Django | AsyncIO | Celery | Redis | PostgreSQL | Docker | AWS | GCP | REST APIs | Microservices.