Building intelligent systems • ML pipelines • Scalable APIs • Production ML
From model training to deployment with performance, reliability, and clean code
Hi, I'm Sukhrob — an AI/ML engineer with 6+ years of backend development experience, specializing in building production-ready machine learning systems and scalable APIs. I bridge the gap between data science and engineering, shipping end-to-end ML solutions that solve real business problems.
- Current focus: Building ML-powered features and robust backends for enterprise systems
- Past highlights: Architected 40+ microservices; re-engineered legacy systems for 10x performance gains; currently applying ML to optimize business workflows
AI/ML & Data Science:
- Frameworks: PyTorch, TensorFlow/Keras, scikit-learn, XGBoost, LightGBM
- NLP & LLMs: Transformers (Hugging Face), LangChain, OpenAI API, spaCy
- Computer Vision: OpenCV, PIL, YOLO, CNNs
- MLOps: MLflow, Weights & Biases, DVC, model versioning
- Data: pandas, NumPy, Polars, Jupyter, data pipelines
Backend & APIs:
- Python: FastAPI, Django, Flask, asyncio, Celery
- PHP: Laravel 12, Symfony components, modern PHP 8.x
- APIs: REST, GraphQL, WebSockets, event-driven architectures
Infrastructure & Deployment:
- Databases: PostgreSQL (pgvector), MySQL, Redis, vector databases (Pinecone, Weaviate)
- Cloud & ML Platforms: AWS (SageMaker, Lambda, EC2, S3), Docker, Kubernetes
- Monitoring: MLflow tracking, Prometheus, Grafana, Sentry
- CI/CD: GitHub Actions, automated testing, model deployment pipelines
Core Skills:
- Feature engineering & model training
- ML system design & architecture
- API development for ML services
- Database optimization & query tuning
- Production monitoring & debugging
🔗 LinkedIn: Sukhrob Nurali
📢 YouTube: @SuxrobNurali
💬 Telegram: @suxrobnurali