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Shubham Mehta

Product Manager

San Francisco, California, United States8 yrs 1 mo experience
AI ML PractitionerAI Enabled

Key Highlights

  • Led strategic Generative AI initiatives at AWS.
  • Delivered innovative solutions for mobile e-sports.
  • Successfully launched Samsung Pay in Sweden.
Stackforce AI infers this person is a Product Manager specializing in Generative AI and Fintech solutions.

Contact

Skills

Core Skills

Product ManagementGenerative AiTechnical Product ManagementUser ExperienceConversational AiFintechSoftware EngineeringInfrastructure ManagementResearch And DevelopmentMachine LearningSoftware DevelopmentWeb Development

Other Skills

Data ProcessingDevelopment WorkflowsData PipelinesApache AirflowOpen-source ContributionManaged WorkflowsPersonalization PlatformMobile E-sportsPlayer MatchmakerCross-functional TeamworkFeature DeliveryMobile PaymentsTechnical OnboardingData Center DeploymentCloud Services

About

Experienced product lead with 10+ years of experience in B2B and B2C technical products/services; strong technical background with experience in software engineering and computer science research. Specialties: Product Ideation and Innovation, Lean Product Development, Multivariate Testing, Rapid Prototyping, Growth, and Retention strategies, Market Research Technical Skills: Serverless, Scheduling, Orchestration, System Architecture, Conversation Design, Data Analysis, Artificial Intelligence, Payments, NLU, ASR

Experience

8 yrs 1 mo
Total Experience
2 yrs 1 mo
Average Tenure
1 yr 9 mos
Current Experience

Amazon web services (aws)

2 roles

Senior Product Manager - Technical (Generative AI)

Promoted

Sep 2024Present · 1 yr 9 mos

  • Leading strategic Generative AI initiatives across core AWS Data Processing services (Amazon EMR, AWS Glue). Building and delivering innovative solutions that simplify development workflows, accelerate modernization efforts, and optimize data pipelines for data engineers and scientists.
Generative AIData ProcessingDevelopment WorkflowsData PipelinesProduct Management

Senior Product Manager - Technical (Apache Airflow)

Mar 2022Jan 2025 · 2 yrs 10 mos

  • Responsible for contributing to Apache Airflow open-source project and working on Amazon MWAA (Managed Workflows for Apache Airflow).
Apache AirflowOpen-source ContributionManaged WorkflowsProduct ManagementTechnical Product Management

Skillz inc.

Product Manager

Feb 2021Mar 2022 · 1 yr 1 mo · Vancouver, British Columbia, Canada

  • Responsible for delivering state-of-the-art personalization platform and player matchmaker for mobile e-sports
Personalization PlatformMobile E-sportsPlayer MatchmakerProduct ManagementUser Experience

Samsung electronics

3 roles

Product Manager | Bixby

Jan 2018Feb 2021 · 3 yrs 1 mo

  • Responsible for conceptualization, prioritization, and delivery of Bixby 2.0, Samsung's latest conversational AI Assistant. Working with a cross-functional team of UX, engineering, marketing, security and legal experts on multiple features in Bixby used by millions around the globe.
Conversational AICross-functional TeamworkFeature DeliveryProduct Management

Product Manager | Samsung Pay

Promoted

Mar 2017Jan 2018 · 10 mos

  • Samsung Pay - Fintech & Mobile Payments
  • Successfully launched Samsung Pay in Sweden in April 2017
  • At the time of launch supported 3 out of top 5 banks(Nordea, Handelsbanken, Edenred) covering more than 60% of all payment cards
  • Lead the technical efforts to onboard Swedbank, one of the biggest banks in Sweden, on Samsung Pay
  • Led technical efforts to provide various other features - NFC card enrollment, App2App card enrollment with bank apps, SMS autofill for OTP.
  • Led efforts to support multiple in-app promotions to increase usage of Samsung Pay
  • Collaborated with the Marketing team in order to drive monthly active users and daily transactions
Mobile PaymentsFintechTechnical OnboardingProduct Management

Software Engineer | Samsung Cloud

Sep 2015Mar 2017 · 1 yr 6 mos

  • Deployed data center of Samsung Cloud service in 3 regions-US, SG, and AMS-together with a team of 8infrastructure engineers. Samsung Cloud serves hundreds of millions of users of Samsung devices.
  • Data center Architecture- Participated in designing and deploying 3-tier network topology for Samsung cloud platform along with Load Balancers and WAF (Web Application Firewall).
  • Mediator- Developed Mediator, a framework of Apache Mesos used for resource management and scheduling across the entire data center. Mediator supports resource scheduling with dynamic reservation and quota allocation. Co-developed Mediator Drill, an application to do integrated testing of Mediator.
  • Hermes DNS Service- Co-developed Hermes, a highly available cloud Domain Name System service. Hermes effectively maps end-users to infrastructure running in Samsung’s cloud platform. Hermes also supports a visual editor where you can easily manage how end-users are routed to application endpoints.
Data Center DeploymentCloud ServicesResource ManagementSoftware EngineeringInfrastructure Management

Adoro

Research And Development Specialist

May 2015Sep 2015 · 4 mos · Mumbai Area, India

  • Computer Vision Lead
  • Related Products- Developed ML model to retrieve similar styled apparels for product pages from thee-commerce inventory of 1 million apparels.
  • Apparel Classifier- Implemented modified Knn-classifier to classify a dress based on Neck type (9 categories),Sleeve type (4 categories), Pattern type (3 categories) achieving 85.7% accuracy
Machine LearningComputer VisionE-commerceResearch and Development

Remitmas

Technical Specialist

Jan 2015Apr 2015 · 3 mos · Mumbai Area, India

  • RemitMas aims to build a digital money transfer service that doubles as a savings tool for Latino immigrants in the United States and their families back home.
  • Designed and Developed Web interface for the online transaction service.
  • Won Dean’s Public Policy Challenge Grant competition of School of International and Public Affairs, Columbia University
Web DevelopmentDigital Money TransferUser Interface DesignSoftware Development

Prof. kameshwari chebrolu, indian institute of technology, bombay

Research & Development Project

Aug 2014Mar 2015 · 7 mos · Mumbai Area, India

  • Worked on video streaming to Android devices in a classroom using wireless multicast and developed efficient and reliable techniques to stream videos in this environment.
  • Conducted various experiments varying the wireless data rates, RSSI and different modes to measure throughput and loss rates, to analyse the feasibility of video streaming using WiFi.
  • Developed a prototype Android application to send a file reliably from a server to multiple clients.
Video StreamingWireless CommunicationAndroid DevelopmentResearch and DevelopmentSoftware Engineering

Samsung electronics

Research Associate

May 2014Jul 2014 · 2 mos · Suwon, Gyeonggi-do, Korea

  • Researcher and Developer in Software R&D Center
  • Proposed four Optimizations for Hadoop’s Distributed File System. Analysed and modified the source code of HDFS to find the performance bottlenecks and improve it.
  • Replicator : Independent module to modify replication factor of a file in a cluster based on its access frequency.
  • Disk Access Optimization : Achieved 6.1% improvement by analyzing the bottleneck in read operations at a datanode and implementing memory-buffered read to reduce disk seeks.
  • Balanced Block Placement Policy : Modified Hadoop’s block placement policy to create a balanced cluster by accounting memory usage of nodes and racks while choosing a node to place a replica.
  • Block-level Caching and Pre-fetching : Achieved 5.7% improvement in read operation by extending
  • HDFS’s caching mechanism to a finer block-level caching and implementing pre-fetching of blocks.
Hadoop OptimizationDistributed SystemsPerformance AnalysisResearch and DevelopmentSoftware Engineering

Prof. roland meyer, technische universität kaiserslautern

Research Assistant

May 2013Jul 2013 · 2 mos · Germany

  • Defined a resource-aware semantics of concurrent programs that makes explicit use of cluster nodes, memory, and compute as well as data transfer times.
  • Performed statistical analysis to determine a partial-order from the resource-aware semantics that optimizes the scheduling goal using solutions of mixed-integer linear programming problem.
  • Drafted a research paper describing analysis and implementation of solution to scheduling problem under supervision of guide.
Resource ManagementStatistical AnalysisSchedulingResearch and DevelopmentSoftware Engineering

Education

Indian Institute of Technology, Bombay

B.Tech — Computer Science and Engineering

Jan 2011Jan 2015

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