Boca Raton, Florida, United States
I am an experienced technology and product executive with hands on start-up and business experience to build end-to-end IoT, Mobile and Digital products and services at the intersection of Hardware, Software, Cloud and AI. I offer deep expertise in developing cutting-edge AI and machine learning products across diverse domains. My proven track record spans device diagnostics, computer vision/ADAS, IoT analytics for guest experience, and payment device analytics. I excel in driving product-market fit by closely collaborating with product marketing teams to create successful AI/ML-based solutions and developing tiered pricing models to maximize adoption. Key AI/ML Capabilities: * End-to-End Solution Development: Strong grasp of machine learning models, inference pipelines, and deployments on AWS Sagemaker and in-house systems. * Data Engineering Proficiency: Expertise in data extraction, building ETL pipelines, working with legacy and modern data systems (SQL, NoSQL, GraphQL). * Data Streaming: Experience with Apache Kafka, Snowflake, and Pub/Sub for high-volume data streaming pipelines. * Cutting-Edge LLM Chatbots: Driven initiatives to implement Retrieval-Augmented Generation (RAG) based large language model chatbots for enterprise knowledge access. * Data-Driven Optimization: Leveraged collected data to drive efficiency gains and cost reductions across engineering, operations, and support functions. I have a proven track record of transforming business goals into a compelling product definition, and then managing, leading and inspiring global teams to deliver the products at scale, on schedule and within budget, while managing vendors and customers under most challenging and competitive conditions. I have led, directed and managed cross functional and engineering teams ranging from few to 100+ members that contributed towards design, development, launch and support of 50+ new products, and $5B+ in gross margins. Most recently I am involved in growing and mentoring a team of talented engineers, product managers, integrators, devOps and program managers for the development and delivery of IoT experiences, software and services for fintech industry.
Verifone is a FinTech leader providing valuable end-to-end payment and commerce solutions to the world’s best-known retail brands, major financial institutions, and directly to more than 600,000 merchants alike. The company’s global services platform is built on a four-decade history of innovation and uncompromised security and handles 10.4B+ online and in-store transactions annually, totaling more than $440B. Trusted and recognized by consumers for its growing footprint of 35 million devices in more than 150 countries, businesses choose Verifone for its global scale, local capabilities, omnichannel prowess and solution flexibility. Learn more at Verifone.com.
Provided strategic and technical leadership, recruited, mentored, coached and created an organization of 50+ team members for development of IoT platform, devices and software for hospitality and connected auto industry. Developed digital transformation products and services on Android, iOS, Linux, Java, React, Node.JS, Hybrid Cloud, tvOS, Roku OS, FireOS, WebOS and Unity. Managed dev ops and infrastructure teams for software deployment and support on both public, private and hybrid cloud. We architected, designed, developed and deployed full stack IoT solutions (devices, network, applications, microservices , content management system, device management software and data analytics on LAMP and MEAN stack) for our customers using below: PaaS: AWS, Docker, Kubernetics, Dynatrace, ElasticSearch, Kafka, Kibana, Messaging Brokers (MQQT), Couchbase. Full Stack: Java, JS, React Native, Go, Unix/Linux, Android, iOS, tvOS, fireOS, RokuOS, WebOS. Tools: Git, Bitbucket, Atlassian, Artefactory, Jenkins, Ansible, Test Automation ( Jmeter, Mocha, Sellenium) We built the world's first "smart ship". http://www.miamiherald.com/news/business/tourism-cruises/article124368194.html
Head of Machine Learning, Cloud Computing and Computer Vision. - Responsible for development of 360 degree video applications (live streaming, storage and deep neural network based search and analytics). - System Engineering lead for design and development of computer vision and machine learning applications of 360 field of view camera in ADAS (blind spot, pedestrian, traffic signs and object detection, lane departure and collision warning ), video stitching and sensor fusion.
* Achieved successful entry in China market by directing and leading cross functional engineering teams to design, develop and launch three products (Moto X, G and xPro). * Negotiated contracts for China type approval agencies and reduced overall budget by 40%. * Created organizational bench strength to support multiple areas of product development - software, hardware, system engineering, device optimizations, wearables and imaging. * Managed an organization of of 50+ engineers, direct and indirect reports and contractors working on baseband, RF, modem,WiFi, BT, NFC, 2G/3G/4G, android framework and user interface. * Launched initiative to improve user experience of camera, battery and device performance.
* Lead engineering development of Moto E (winner of 2015 GSM award of the best value smartphone) and Moto G franchise products. Managed team of 25+ engineers and direct reports * Drove development of platform, system design, product design, certifications, customer validations, field test and manufacturing * Implemented system engineering driven processes to drive measurable improvements in user experiences for various features (imager, battery life, memory, audio, display, sensors and overall performance) * Achieved flawless new product launches on multiple networks and countries (Verizon, Tracfone, AT&T, T-mobile, Sprint, Latam, India, Korea and China) * Collaborated and partnered with Supply Chain, Manufacturing and Quality organizations to achieve 25% reduction in time to production by driving down DPHU, improving factory yield and driving 100% part qualification before ramp readiness.
* Lead and managed software full stack development and test organizations (30 direct and indirect reports) to develop and transition iDEN products to Android ecosystem. * Led development and launch of iDEN/3G dual mode devices and help customers (Nextel International and Korea Telecom) from iDEN to 3G/4G networks. * Technical Lead/Manager of cross functional baseband engineering team (software, third party, system test and field test) responsible for design, development, test, integration, verification, certification, customer issues resolution and field support for iDEN 3G/UMTS/4G smartphones.
Worked on embedded DSP software design, development and implementation of • Digital vocoder and QPSK modem for digital two way radio and base station products. • Landline protocol (based on OSI protocol stack and CCITT's Recommendation X.25) for transmitting digital voice and data over landline to PSTN.