At StarTree, we’re on a mission to revolutionize real-time user-facing analytics with Apache Pinot, the open-source, high-performance OLAP database designed for real-time analytics. Our technology powers the analytics behind some of the world's most recognized brands, enabling them to deliver lightning-fast insights directly to their users.

Building scalable data and metadata layer for data reduction service on cloud storage platforms, such as S3, to optimize costs, enhance performance, and ensure efficiency for data lake houses and AI services built on Granica AI efficiency data platform.

Built a scalable, fault-tolerant distributed log storage system optimized for low-latency, real-time workloads, enhancing data handling across distributed systems.

○ Developed the Consensus Layer: flexible paxos based consensus mechanism to ensure data consistency and integrity, crucial for fault tolerance and high availability in distributed transactions.

○ Write-Ahead Log for Storage Nodes: Implemented a WAL mechanism, for fast writes, data durability and reliability against unexpected failures by ensuring data integrity.

○ Developed a high-performance storage engine for storage nodes in distributed log store. Built indexes and local caches for faster access to data.

Led the Development of a Distributed Testing Framework: Designed a comprehensive testing framework to simulate distributed environments, enabling thorough system testing under varied conditions to ensure system resilience.

Collaboration and Leadership: Collaborated with cross-functional projects, providing technical leadership and promoting a culture of innovation and continuous improvement to align with business goals.

Designing and developing products at the edge to enable customers

1. Running applications at the edge close to the data and devices.

2. Analyzing data for quick actionable insights with hardware-accelerated AI/ML.

3. Transfering data efficiently and easily between the cloud and edge in offline and online mode,