Rohit Kalhans — CTO

As an experienced engineer and technical leader, I have a strong track record of building large scale cloud and on-premise products and services at the enterprise level. I have led several critical global initiatives, focusing on innovation and excellence, and have played a key role in shaping business strategies and implementing sustainable solutions serving billions of users. My expertise includes stakeholder management, project scope management, design and implementation, on-boarding, and impact analysis. At Apple, I led multiple initiatives supporting the company's $1B+ online advertising business, overseeing data ingestion, processing, reporting, and AI/ML efforts. I managed multiple cross-functional teams, including design, development, quality, deployment, maintenance, and operations, and worked closely with engineering, product and program managers, customers, and partners to deliver high-impact results within tight timelines in the fast-paced online marketing industry. While at Microsoft, I worked on Azure devOps (formerly VSTS) and developed numerous highly scalable cloud services and products. I built the back-end for a reusable search and recommendation platform, including semantic code search, work-item search, wiki search, quick search, and type-ahead, as well as a relevance engine that provided real-time feedback based on user behavior. These systems and services were powered by ElasticSearch technology and supported 7B+ documents, over half a petabyte of index, and around 400 node ES clusters. During my time at Flipkart, a leading e-retailer and online marketplace in India, I served as the product owner and lead engineer for the data ingestion system for the Flipkart data platform. The system successfully supported low-latency real-time click-stream event feed and high throughput batch data ingestion for nearly 2 years, handling nearly a terabyte of data per day. I began my career at Oracle (Sun Microsystems) working on the MySQL product, where I implemented a significant portion of the multiple-threaded replication feature in MySQL. This allowed customers to use MySQL as a reliable option for work-loads requiring read-fanout (write once read many).

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in E-commerce and Cloud Services.

Location: London, United Kingdom

Experience: 14 yrs 3 mos