Debankur Naskar

Product Manager

San Jose, California, United States22 yrs 3 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led product management for AI-driven consumer applications.
  • Developed eBay's search platform serving 150K queries/sec.
  • Instructed future product managers at Product School.
Stackforce AI infers this person is a B2C Product Management expert with a strong focus on AI and search technologies.

Contact

Skills

Core Skills

Product ManagementAi & MlSoftware Engineering

Other Skills

Search and RecommendationsPersonalizationCustomer ExperienceSearch TechnologiesVoice Query InterpretationNatural Language ProcessingSearch Platform DevelopmentMachine LearningQuery UnderstandingSearch OptimizationQuery ExpansionBehavioral Data AnalysisRelevance Platform ArchitectureMerchandising AlgorithmsJava NIO

About

Product and Technology lead passionate about building web and consumer products combining AI, ML, and human intelligence. Expertise in building and leading data-driven products from scratch. Strong track record of managing web and mobile applications that reach billions of users from conception to deployment Expertise and Interest: * Experienced in pitching and presenting product ideas to senior executives and building large scale, innovative, global consumer, web, and mobile products using AI & ML at some of the world’s largest companies and start-ups * Search and Recommendations systems, Personalization, Information Retrieval * Data Science, Machine Learning, Artificial Intelligence * Product Design, Consumer Internet, Product Management * Leading cross-functional teams, Strategic Product Planning, Product Specification Development

Experience

22 yrs 3 mos
Total Experience
6 yrs 3 mos
Average Tenure
9 yrs 4 mos
Current Experience

Apple

Sr. Manager, Product Management/ Group Product Manager

Feb 2017Present · 9 yrs 3 mos · San Francisco Bay Area

  • Lead Product Management and a cross functional organization of 100+ (PMs, engineers, data scientists, researchers, analysts, designers, EPMs) for driving Customer Experience and Discovery in the App Store. Scope spans strategy, execution, and innovation across:
  • Customer facing experiences
  • GenAI, LLMs, AI/ ML, Content and Behavioral Science
  • Search and Recommendations
  • Personalization
  • App Intelligence and Knowledge systems
  • Joined as a Product Lead and got promoted to Sr. Manager of Product Management
Product ManagementAI & MLSearch and RecommendationsPersonalizationCustomer Experience

Product school

Instructor

Jan 2017Present · 9 yrs 4 mos · San Francisco Bay Area

  • Teach an 6-week part-time PM Leadership course to help build Product Management skills.
Product Management

Quixey

Product Lead

Jan 2016Feb 2017 · 1 yr 1 mo · Mountain View, California

  • Quixey was developing a personal assistant based on search technologies for mobile users. Our products interpreted voice queries in natural language, searched within apps, and deep-linked users into relevant content, minimizing the time it takes to complete an action.
  • As a Product Lead, I led a team of engineers, QA, designers owning components ranging from content acquisition, indexing, machine-learned ranking, presentation, and several other proprietary components and helped the BD team to work on the different deals with partners.
Search TechnologiesVoice Query InterpretationNatural Language ProcessingProduct Management

Ebay inc

3 roles

Lead Product Manager

Aug 2011Dec 2015 · 4 yrs 4 mos

  • Led a team of technical PMs, Engineers, QA building eBay’s search platform Cassini built from scratch, which served 150K queries/sec and has ~15,000 servers in the data centers.
  • Owned Query Serving Platform and responsible for various cross-team projects with search science and search front end, including query understanding and annotation, recovery techniques for queries with null or low result sets, machine translation for a global search experience, and the integration of locally available items.
  • Product owner for the demand services backend to store users' behavioral data, used for ML ranking on eBay, and subsequently delivered hundreds of millions of dollars of incremental GMB growth yearly via AB testing.
  • Product lead for Document Summarization engine (Display Platform) in eBay, targeted to save hardware capacity and computation cost of main query serving grid by 20%.
Search Platform DevelopmentMachine LearningQuery UnderstandingProduct Management

Sr. Product Manager - Search Platform

Promoted

Aug 2007Jul 2011 · 3 yrs 11 mos

  • Responsible for improving search recall, ranking, and relevance through tokenization, spell check, query expansions, and mapping queries to unstructured and structured item data leading to increased purchase activity, generating $$M lift for eBay in GMV.
  • Developed eBay’s Shipping features in Search. Enabled GSP (Global Shipping Platform) in eBay in Search, which led US sellers to connect with millions of buyers in worldwide markets and significantly increase their sales (XX%) by making global trade as simple as domestic.
  • Product owner of eBay’s Motors vehicle parts compatibility platform in Search (Fitment), which is directly responsible for ~1 billion annual sales.
  • Work on-an on-going basis with in-country business and product teams to formulate global product requirements.
Search OptimizationQuery ExpansionBehavioral Data AnalysisProduct Management

Sr. Software Engineer - Search Back End

May 2005Jul 2007 · 2 yrs 2 mos

  • Involved in architecture, design and implementation of various projects involving eBay’s Relevance platform Best Match.
  • Architected a Merchandising Engine for eBay’s website, which will gather user inputs and run merchandising algorithms to suggest users the related queries and the related products.
Relevance Platform ArchitectureMerchandising AlgorithmsSoftware Engineering

Autonomy inc (formerly zantaz inc)

Lead Developer

Nov 2003May 2005 · 1 yr 6 mos

  • Replaced RMI with Java NIO in DigitalSafe Archiving Service to address the scalability issues with multithreaded applications. Also, replaced Java Multicast with Reliable Directed Unicast Communication to improve reliability, scalability and performance of data transfer by 4x.
  • Audit Center: Designed a feature in the application to index and search in all the header fields of e-mail messages using the Lucene indexing and searching mechanism.
Java NIOLucene IndexingSoftware Engineering

Education

Santa Clara University

MS — Computer Engineering

University of California, Berkeley, Haas School of Business

Executive Education — Business

University of Calcutta

B.Tech — Electronics and Communication

Kendriya Vidyalaya

Stackforce found 100+ more professionals with Product Management & Ai & Ml

Explore similar profiles based on matching skills and experience