Alok V.

Tennis Channel operates TV, streaming, and digital platforms delivering live and on-demand coverage of tennis and other racquet sports. Its mission is to be the go-to destination for fans with year-round coverage and engaging content that grows the sport’s audience.

• Wrote an assessment of the current customer experience, and technology architecture
• Defined new product experiences for live tennis, outlining phased execution & evolving technology architecture.
• Wrote a product & tech strategy and architecture document keeping short term time to market and long term goals of the company

Ring, Amazon is leader in smart home security, offering video doorbells, cameras, alarms, and subscription services that provide peace of mind through real-time monitoring and alerts.

• Built Smart Video Search using Visual Language Model (VLM) for important event searches in video history.
• Developed & launched 24x7 video monitoring capability, a key use case for SMBs.
• Launched a simplified tiered-subscription service. Built growth strategies using LTV & ARPU models.
• Build and launched Smart Video Descriptions using Generative AI technology that provides descriptive real-time information about the activity in front of your doorbell and cameras
• Built a customer journey platform to identify frictions & optimize engagement for a better customer experience.
• Improved latency & availability of Ring service by migrating to regionalization-based architecture.

Amazon.com is a leading eCommerce company with a multitude of other businesses such as AWS, Music, Video, Devices etc.

• Built & scaled Amazon Music into one of the world's largest streaming services, now available in over 65 countries.
• Built an automation platform to help Alexa scaling internationally. Filed a patent, approved by USPTO.
• Accelerated Amazon Music's customer growth from zero to 55M+ within 5 years, driving healthy business revenue.
• Leveraged data science techniques such as causal modeling to double the new release music MSS in 1 year.
• Leveraged Amazon flywheel to build product experiences & drive exponential customer growth at start.
• Developed & executed a product flywheel with an on-ramp strategy to attract & engage young, diverse customers.
• Built Machine Learning & Music Personalization from ground up scaling to Generative AI based experiences.
• Expanded the team from 60 to 1,500, reorganizing to align with evolving business needs & ensure scalability.
• Created new revenue streams by leveraging Amazon’s O&O channels: Prime, Alexa, and Amazon.com.
• Partnered with marketing, operations, and other Amazon teams to build platforms & scale businesses.
• Built core technology stacks for Music Search, Catalog, ML/Personalization, Cross-Client platforms, Playback Streaming, and a unified music Cloud Streaming Queue for all voice & visual customers.
• Built & scaled a global Search platform for voice & visual clients, evolving from traditional IR to ML-based systems. Leveraged graph embeddings, semantic retrieval & multi-arm bandits to enhance personalization & discovery.
• Pioneered an explore-exploit approach using multi-arm bandit algorithms, driving key metric improvements & boosting engagement & subscription upsells.

Cisco Systems is a global leader in networking and enterprise technology, providing hardware, software, and security solutions that power the internet and connect businesses worldwide.

• Built large scale technology platforms for managing Service Provider's (eg AT&T, British Telecom etc) network of hundreds of thousands of devices.
• Directed development of large-scale network management systems, generating $70M revenue through enterprise content delivery, digital signage, and video solutions for service providers & B2B/B2B2C customers.
• Delivered enterprise content delivery & digital signage solutions across corporate communication domains, driving adoption & revenue growth.
• Grew the product portfolio to 6,000 customers over four years, including key accounts like JPMC & Merck.