Pranab Rastogi

About Pranab Rastogi

Accomplished Principal Engineering Manager with 20+ years of experience in technology leadership, solution ownership and technical program/project management. Proven expertise in leading complex programs, implementing projects, and managing teams in areas like Sensors, AR/VR, Machine Learning, Artificial Intelligence, LTE and UMTS. A strong communicator with excellent stakeholder management skills, known for successfully launching and commercializing chipsets, growing teams, and driving process improvements. Experienced in Agile methodologies, risk management, and cross-functional collaboration. Advanced Technical Skills & Areas of Expertise Program/Project Management | Sensors | ML | AI | AR | VR | LTE | UMTS | System Test People & Team Management | Stakeholder Management | Agile Methodologies Scope Management | Change Management | Offshore team Management Process Improvement | Risk Management | Release Management

Experience

1. Principal Engineer Manager

   高通

   Jan 2004 — Present · San Diego, CA, US

   Qualcomm Technologies Inc, San Diego, CA January 2004 - Present Principal Engineer/Manager, QCT Sensors Technology Leading Regression Sensors I&T team of engineers to validate and test commercial quality of Sensors subsystem software. • Launched and Commercialized 50+ chipsets in Mobile, Compute, XR, and IOT over the last 10 years. • Overseeing execution of projects including managing and planning for resources, creating/validating test plans, identifying and mitigating project risk, documenting, and reporting status updates to senior management and other key stakeholders. • Collaborating with cross-functional teams to identify opportunities for process improvement (e.g, reduced Turnaround time, error rates, and costs) and leading successful implementation of such initiatives. • Cross-team partnering and negotiating among Systems, Software and Customer Engineering teams to ensure progress in day-to-day executions per project plan. • Conducting Root Cause Analysis following product launches with all parties involved in the project life cycle. • Partnering with engineering teams to prioritize customer issues enabling faster response time thus avoiding escalations to senior management. • Leading efforts to continuously monitor and improve testing methodology thus decreasing the service requests from customers. • Tested and commercialized Sensors Algorithms that use Machine Learning and neural processing hardware blocks which is used for edge AI processing.

Education

• Savitribai Phule Pune University

  Bachelor of Engineering, Electrical and Electronics Engineering

  1995 — 1999

• The University of Texas at Arlington

  Master of Science in Electrical Engineering, Telecommunications Engineering

  2000 — 2002