Developing a Generative AI-powered solution to address the clinician shortage in long-term, post-acute and geriatric care.

Coursework:Design of AI ProductsHCI for Product ManagersData Science - R & PythonManaging People and TeamsBusiness Fundamentals for High Tech PMPrinciples of Product ManagementProduct MarketingBusiness PresentationsService DesignMobile and Pervasive Computing

Chipset (silicon) Product Manager intern for the next generation AI PC - Snapdragon Compute Products.● Market Awareness: Analyzed market trends in the AI PC space. Compared Snapdragon X silicon with competitor offerings against benchmarks and presented strategic recommendations for capturing AI PC chip market.● Technical Marketing: Translated technical concepts into clear and concise language for business stakeholders by leveraging expertise in silicon engineering to prepare marketing pitches for OEM and ODM customers.● Product Roadmap: Collaborated with marketing, finance and operations on the development of a roadmap for future product portfolio, positioning Qualcomm for successful penetration in AI PC market.● Product Launch: Collaborated cross-functionally with engineering, marketing, sales, finance, UX/UI teams to ensure alignment on product features, specifications, value propositions, user stories and overall product vision.

● Leadership: Played a crucial role in interviewing, onboarding and training of new college grads in the GPU engineering division. Developed training modules which reduced the ramp-up time for new hires by 40%.● Product Development: Developed from scratch an industry standard workflow for verifying design models. Designed the verification flow to be scalable across projects, this improved quality of product design.● Cross-functional Communication: Coordinated between a geographically and functionally distributed team by collaborating on the quality verification of performance critical features for premium tier Snapdragon mobile SOC.

● Stakeholder Management and Influence: Oversaw the coverage activity for a subsystem within GPU chip. Enabled team members to perform effectively during the coverage process in the product life cycle.● Continuous Improvement and Initiative: Identified technical debt in the Custom testing protocol. Replaced it with an Industry standard protocol. Developed major chunks of code in the new architecture. New code base improved the user experience and reduced run times by up to 65%, resulted in saving $0.5 million annually.

● Feature Management and Strategic Thinking: Owned test planning and developed strategies to verify multiple functional and performance features effecting KPI metrics in Nvidia GPUs, serving all market channels from cloud server, HPC, automotive, PC and robotics.● Process Automation: Built a tool to automatically triage test failures and generate meaningful reports. Gathered requirements for the tool based on user needs. Streamlined the process from end users’ perspective, reducing errors and engineering time from days to hours.● Data Analysis: Utilized Excel to interpret huge amounts of data generated on verification health from test run reports. Made recommendations to senior management to align product roadmap and milestones.

● Problem Solving: Implemented an innovative solution to perform A/B testing of run-time heavy arbitration algorithms on a low weight design model to achieve a turnaround time from hours to seconds.

Teaching Assistant for the course Computer Architecture.

Teaching/Professional Assistant for the course Microelectronic Circuits in second semester 2016-17. Work included: Arranging practice sessions during the semester to assists the students with assignments and online test. Teaching CAD tools like SPICE to sophomores. Preparing questions for the online test. Helping in conducting online test of more than 250 students for the course

IGCAR – India’s premier nuclear research centre. It is the second largest establishment of Department of Atomic Energy. My project was to design a high speed data acquisition system (module), with real time stamp for pulsating sensors. The data logging module designed by me will be used to collect data in various experiments in IGCAR. It was a great opportunity to work with scientists and researchers at such an esteemed organization, engaged in broad based multidisciplinary program of scientific research and advanced engineering directed towards nuclear energy. At the end of my work I received certificate of appreciation from the Director of IGCAR.