Dhanraj M

Places API (POI Extraction and Geocoding)

• Led end-to-end development of the Places API, improving data processing efficiency by 70% using Apache Spark, Apache Sedona, and Argo Workflows.
• Developed Geocode API with autocomplete (Elasticsearch) and geocode/reverse geocode (PostGIS) capabilities, enhancing user query precision.
• Engineered the API server in Rust with Axum and SQLx, scaling to handle 10,000+ requests per minute.

Scalable Data Processing & Delivery Pipeline

• Led and architected a pipeline for data cleanup and delivery using Pandas and MongoDB, streamlining processes and improving data accuracy.
• Enhanced validation with compound indexes and geospatial queries, directly contributing to $1M ARR.

Street Imagery Platform (Street View Marketplace)

• Designed a high-performance street imagery platform using Mapbox GL JS and Mapbox Vector Tiles (MVT).
• Optimized data fetching and clustering, improving user experience across zoom levels.
• Launched Bumigram.com, a street imagery marketplace built on the platform.

Infrastructure & Platform Management

• Engineered and managed multi-cloud infrastructure across AWS and Azure, including a self-hosted Kubernetes cluster (Azure VMs) with GitOps (ArgoCD) and role-based access control (Casbin policies).
• Deployed and maintained distributed data services (Apache Spark, Hadoop) and company-wide databases/messaging systems (Postgres, MongoDB, Elasticsearch, Kafka, RabbitMQ).
• Ensured high availability and scalability across all backend services, supporting multiple client-facing platforms.

The goal of the project is to create a first of its kind savings marketplace "Savesmart". The participants in this marketplace are consumers who are currently/would like to save with trusted brands and brands who participate in this marketplace. The solution has the following products - An easy-to-use Cloud-based app for partner companies to create, track, and manage monthly instalment-based saving scheme. - Mobile app where consumers can simply log on to the mobile app and pay the monthly instalments I have architected the product and developed the backend services including the devops. I have lead the team who developed the frontend for this project

● Ideate, experiment and evaluate product ideas. ● Architect and design MVP to validate the new product idea. ● Apply Machine learning and Deep Learning techniques for information retrieval. ● Plan and execute the transition of POC/MVP Models to Production ready applications.