Kaja Mohideen

Director of Engineering

Bengaluru, Karnataka, India25 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 24 years of leadership in Mobile Technology.
  • Expert in bridging technology with strategic vision.
  • Pioneered ML-based predictive maintenance solutions.
Stackforce AI infers this person is a leader in IoT and Big Data solutions for advertising and digital health.

Contact

Skills

Core Skills

Big DataData ManagementIotData AnalyticsMachine LearningPredictive MaintenanceProduct DevelopmentDigital Health

Other Skills

Apache SparkPython (Programming Language)IP Multimedia SubsystemProject PlanningTerraformData EngineeringApache KafkaProgram ManagementSoftware DesignManagementMultimedia3GPP3G TechnologyC++Java

About

With over 24 years of leadership in the Mobile Technology Domain, I excel in bridging technological innovation with strategic vision to deliver world-class products. Currently serving as Director of Engineering -Data Products at Samsung Advertisement Platform, I lead end-to-end development and deployment of critical Advertisement products like Unified Data Warehouse (UDW), Data Management Platform (DMP), Device Graph (DG) and PANEL for Samsung Advertiser Platform. Adept at providing engineering solutions for large scale consumer needs on Cloud and Big Data My career spans diverse leadership roles, including heading IoT Data platform, Analytics , Building IoT, ML based Predictive maintenances where I pioneered groundbreaking solutions-deploying Energy efficient platform for large commercial building, Preventive maintenance of AC and Refrigerator using ML techniques. I also established an IoT Data Warehouse to enhance business insights and automation capabilities. Beyond technical expertise in AWS Cloud, Big Data technologies and microservices, I am recognized for my strategic planning, R&D prowess, and ability to drive products from conceptualization to commercialization. I thrive in building high-performing teams and fostering a culture of innovation and operational efficiency. Throughout my career, I have honed skills in stakeholder management, cross-site operations, risk management, ensuring alignment with business objectives and exceeding stakeholder expectations. I am passionate about mentoring and developing talent, driving customer-centric solutions, and optimizing resources to deliver impactful outcomes. Email ID : Kajasmp@gmail.com

Experience

25 yrs 10 mos
Total Experience
6 yrs 5 mos
Average Tenure
8 yrs
Current Experience

Samsung research institute bangalore

2 roles

Director of Engineering

Apr 2021Present · 5 yrs 1 mo · On-site

  • Leading the engineering efforts for Samsung's Advertiser Platform in Bangalore, overseeing key data products including the Unified Data Warehouse (UDW), Data Management Platform (DMP), and Samsung Panel
  • Unified Data Warehouse (UDW): Orchestrates the ingestion and transformation of producer data into high-quality, ready-to-consume formats, facilitating impactful data-driven business solutions
  • Data Management Platform (DMP): Integrates proprietary first and third-party data from diverse sources, enabling advanced advertising targeting, analytics, and insights
  • Samsung Panel: Utilizes audio ACR technology to comprehensively measure TV content consumption among individual viewers within Samsung households, encompassing both linear and streaming services
  • Roles involves :
  • Expertly collaborate with PMs and business teams to devise strategic roadmaps for the monetization of Samsung and third-party data products with a revenue of $100M
  • Skillfully design and deploy segment data ingestion pipelines, processing a variety of data sources including Liveramp, Experian, Lotame, and Polk, to enhance targeting capabilities.
  • Proficiently leverage first-party (1P) and third-party (3P) data segments to curate audiences within Demand Side Platforms (DSPs), optimizing advertising effectiveness
  • Spearhead the development of the Global Compliance Manager for Unified Data Warehouse (UDW), ensuring adherence to regulatory frameworks such as CCPA, CPRA, and GDPR
  • Implemented Data Observability frameworks within UDW to monitor data completeness, freshness, and anomalies, enabling proactive issue resolution
  • Collaborate closely with partners like Dal-Track and Vidvita to integrate ACR audio matching capabilities
  • Rigorous quality standards for data products, establish DORA metrics, and manage incident SLAs to uphold operational excellence
  • Contribute to cloud infrastructure design reviews, approve budgets, and optimize costs, overseeing expenditures totaling approximately $10M
Big DataApache SparkData Management

Director | General Manager

Apr 2018Mar 2021 · 2 yrs 11 mos · On-site

  • Head of Engineering with a focus on IoT technologies, leading initiatives across IoT Data Platform, IoT Analytics, Diagnostics AI for Digital Appliances, and the Building IoT (b.IoT) platform. Spearheaded the development and management of an IoT Analytics data warehouse for SmartThings Cloud data. This platform supports critical KPIs including Overall Performance, User Trends (246M users), Device Trends, Active User Analysis etc. Consumers of this data include business decision-makers, product and marketing managers
  • Drove the IoT Analytics roadmap, overseeing feature prioritization, requirements definition, and the design of end-to-end flows integrating microservices data into BI Tools
  • Collaborated with SmartThings Platform to conceive and execute a Single Source of Truth (SSoT) initiative, consolidating Devices, Locations, and Users data sources.
  • Applied Functional Data Engineering Principles to manage approximately 3TB/day of data processing, >4 billion records of PII data across 246 million users, 110 million devices
  • IoT Data Platform: Led the development and management of real-time data operations within the SmartThings ecosystem, overseeing User Activity logs, real-time device usage statistics, and enabling prompt resolution of user device issues via customer care. This infrastructure supports handling 150K requests per second (RPS) and manages the storage of 3TB of data daily. Key services delivered include Piper, Home Insight, Historian, and notifications for low battery levels.
  • Directed the Piper Service, overseeing the management and storage of client logs (~6M/month) and facilitating data delivery to customer support.
  • Created the Historian Service to offer user insights on device activities, notification messages, and automation events sourced from the Data Platform.
  • Implemented a process within the Data Platform to collect SmartThings App click events through Piper, integrating them seamlessly into the Data Warehouse
Python (Programming Language)Big DataIoTData Analytics

Samsung research institute-bangalore

General Manager

Mar 2016Feb 2018 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

  • Diagnostics AI: Specializes in the development of a Predictive Maintenance service focused on proactively addressing issues in Digital Appliance (DA) devices. Specifically employs machine learning models to predict AC Refrigerant Leaks and Ice Maker failures
  • Design and deploy data ingestion, ETL pipelines, exploratory data analysis (EDA), and feature selection processes.
  • Develop and validate models using diverse machine learning techniques including Random Forest, ARIMA, and Extreme Gradient Boosting.
  • Execute deployment of ML models into production environments and oversee dashboard monitoring.
  • Building IoT: (b.IoT) Developed a Smart Buildings platform aimed at enhancing operational convenience and optimizing facility management for industrial devices such as HVAC systems, boilers, chillers, and lighting. Implemented machine learning models to achieve energy savings and ensure optimal comfort in HVAC operations
  • Led the development of a Building IoT Platform, including the definition of solutions for energy conservation. Designed a microservices platform integrated with visualization tools for energy performance analysis
  • Implemented a Message Queue Architecture and developed services to manage and control over 50,000 devices at a single site
  • Successfully deployed solutions internationally across diverse sectors including hospitals, schools, retail stores, and warehouses. Notably deployed in Samsung India, achieving savings of $1 million
Python (Programming Language)Apache SparkMachine LearningPredictive Maintenance

Samsung research institute bangalore

Group Engineering Manager

Jul 2001Feb 2016 · 14 yrs 7 mos · Bengaluru, Karnataka, India · On-site

  • Advanced from Software Engineer to Group Engineering Manager, playing a pivotal role in the commercialization of several innovative Samsung products:
  • Led Samsung's Digital Health initiatives in India, overseeing the successful launch of trackers on Samsung Health, introducing the "Ask Expert Service" for online doctor consultations, and implementing machine learning-based health insights for consumers.
  • Designed and developed Digital TV (DTV) solutions tailored specifically for the Japan market, successfully commercializing these products with major operators such as SBM, NTT DoCoMo, and KDDI.
  • Spearheaded the development of IMS stack technologies for Samsung, facilitating their commercial deployment across North America and Japan.
  • Contributed to the design and development of NAS Layer solutions, focusing on session management and supplementary services like call forwarding and call waiting, aligning closely with 3GPP specifications
IP Multimedia SubsystemProject PlanningProduct DevelopmentDigital Health

Dsq software

Software Engineer

Feb 2000Jun 2001 · 1 yr 4 mos · Chennai Area, India

  • Worked on SS7 Protocol and RTOS Development

Education

Illinois Tech Stuart School of Business

Postgraduate Degree

Jan 2018Jan 2019

University of Madras

Bachelor of Engineering (B.E.) — Electronics and Commincation Engineering

Jan 1995Jan 1999

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