Akarsh Jain

I am a hands-on Data Engineering leader with over a decade of experience building intelligent data systems at scale—across cloud-native infrastructure, real-time pipelines, and cutting-edge graph and search technologies. My core strength lies in fusing engineering depth with product intuition, delivering end-to-end platforms that power analytics, automation, and applied AI. In my recent work, I’ve architected and scaled data platforms that blend modalities: structured SQL pipelines, vector and graph databases , and orchestration frameworks like Kubernetes, Airflow, and Celery. I’ve led the design of self-bootstrapping, pod-based ETL architectures deployed on GKE—optimizing for cold-start latency, multi-dataset concurrency, and intelligent clustering via Leiden and PageRank algorithms. I bring a pragmatic mindset to system design: clean abstractions, efficient resource usage, and scalable interfaces. Whether it’s tuning a DAG, running millions of relationships into Graph in seconds, or exposing RAG-based APIs backed by a multi-modal store, I enjoy owning the problem, solving it, and scaling the solution. Always hiring for strong minds. Open to sparring on architecture, product direction, or startup ideas.