Arun Mahendra

I’m a Senior Full-Stack & AI Engineer with 15+ years of experience building high-performance data platforms, AI-powered systems, and end-to-end web applications. I’ve worked across startups and large-scale organizations, most recently at Shopify, where I built core features for their observability and analytics platform and operated ClickHouse clusters ingesting 15M+ events per second.

I specialize in TypeScript/React, Python, Go, and cloud-native architecture (GCP, AWS, Kubernetes). My background spans distributed systems, analytics pipelines, and full-stack product development — from designing backend services and APIs to crafting intuitive front-end experiences.

I’m also the author and maintainer of CogDB (cogdb.io), an open-source graph database in Python with 300+ GitHub stars, and the founder of NodeFn – an AI-driven website analytics tool that turns raw traffic into weekly growth recommendations (currently in beta).

Key strengths & recent work: • Large-scale observability & analytics (ClickHouse, Kafka) • Full-stack development (React, TypeScript, Python, Go, Node.js) • AI/ML integration (OpenAI/GPT for trace analysis, custom graph algorithms, user-derived metrics) • High-performance APIs & data pipelines (Protocol Buffers, Parquet, Spark, Redis, ElasticSearch) • Graph databases & advanced analytics (built CogDB from scratch, graph-based ad targeting systems) • Cloud & infrastructure (GCP, AWS, Kubernetes/GKE, Terraform)

I specialize in helping startups and scale-ups who need senior-level expertise on short- or part-time contracts: architecture reviews, performance optimization, AI integration, analytics/observability builds, or getting complex data products to production quickly and reliably.

Available for 10–20 hours/week. Canadian-based (EST/EDT), fluent English, no agency, direct and fast communication.