Welcome!

Hello and welcome to my blog! I’m Ali Darbehani, a passionate Machine Learning Engineer dedicated to advancing the field of AI through innovative projects and continuous learning.  I am open for free collaboration and consulting for open sourced projects as well as really early stage startups.

Professional Background

Currently, I am a Senior MLOps & AI Platform Engineer at Clio, where I lead AI platform and observability initiatives supporting hundreds of thousands of daily users across regulated environments. Previously, I was part of the MLOps platform team at BenchSci, where I helped enhance machine learning pipelines and accelerate the ML lifecycle for 30+ engineers and scientists. Over my career, I’ve had the privilege of working with leading organizations like CN Rail, WSP Canada, and founding MLCentric. My work spans building AI observability and evaluation pipelines, RAG platforms, secure data environments, and deploying AI solutions in production for products that solve real-world problems.

Expertise and Skills

• AI Platform & LLMOps: AI Observability | LLM Evaluation (Arize / Braintrust) | RAG Architecture | Vector Indexing & Retrieval | OpenTelemetry | Prompt & Model Version Control | Cost-per-Request Tracking
• Machine Learning Frameworks: PyTorch | PyTorch Lightning | HuggingFace Transformers | DeepSpeed | vLLM | LoRA / QLoRA | MLflow | Ragas | LlamaIndex
• ML Skills: Deep Learning | Computer Vision | NLP | Generative AI | Transformers | Multi-Agent Application Patterns | LLM Fine-Tuning
• MLOps & Infrastructure: Kubernetes (GKE / EKS) | Helm | Terraform | Docker | Vertex AI Pipelines | Kubeflow | Airflow | DVC | Dataflow | CI/CD for ML
• Cloud Platforms: AWS (Bedrock, SageMaker, EKS, ECR, Textract, Comprehend, S3, CloudWatch, RDS) | GCP (Vertex AI, BigQuery, GKE, GCS, Dataflow) | Azure (Azure OpenAI, Azure ML)
• Data & Retrieval: PostgreSQL | Pgvector | OpenSearch | MongoDB | Feature Stores | Embedding Pipelines | ANN (HNSW / IVF) | Hybrid Retrieval
• Programming Languages: Python (primary) | C++ | JavaScript
• Software Development Tools: Git | Bazel | DVC | Structured Logging | AI-Assisted Coding (Cursor, Claude Code)
• Security & Governance: PII Redaction Pipelines | GDPR-Compliant Multi-Region Deployments | Data Residency | Model & Prompt Governance

Education and Continuous Learning

I hold a Bachelor of Science in Computing Science from Simon Fraser University. My commitment to lifelong learning is reflected in my completion of the Google for Startups: GenAI Startup School and the Deep Learning Specialization from deeplearning.ai, and AI Product Management bootcamp.

Community Involvement

I actively contribute to the AI and ML community as a TA for ai.science workshops, a steering committee member of the MLOps World Conference, and a co-host for the MLOps community meetups in Toronto with nearly 1600 members.

Personal Philosophy and Values

I believe in the transformative power of AI and strive to create solutions that drive efficiency and innovation. My work is guided by a commitment to excellence, collaboration, and continuous improvement.

Why This Blog?

This blog is a platform for me to share my insights, tutorials, and the latest trends in machine learning and AI. It is designed for fellow engineers, tech enthusiasts, and anyone interested in AI. My goal is to provide valuable content that educates, inspires, and fosters a community of like-minded individuals.

Let’s Connect!

I invite you to engage with my content, leave comments, and connect with me on LinkedIn or explore my projects on GitHub. Let’s collaborate and push the boundaries of what’s possible in AI together!