Monish S R

I am a backend-focused software engineer with a strong foundation in building scalable data pipelines and visualization platforms. I have contributed to end-to-end systems that integrate ML pipelines, storage formats, and low-latency APIs.

At Akridata I designed architectures for anomaly segmentation features, implemented Celery-based distributed processing, and optimized statistical analysis APIs to handle million-point datasets. I built components to materialize ML features into Arrow and Parquet blobs and helped ship a data visualization platform using FastAPI and MongoDB.

I partner closely with ML and UI teams to define interfaces, reduce latency, and streamline pipeline integration, while mentoring junior engineers on backend best practices and asynchronous task patterns. My tooling and cloud experience includes Docker, Kubernetes, AWS, Azure, and MinIO.

I have been recognized with multiple company awards for system design, leadership, and cross-team collaboration and I seek to continue building reliable, high-performance backend systems that accelerate ML-driven products.