United States

Product Design

BTech

10 + 2

Pavan Vemuri

Director of Product Engineering

Problem-solving

Presentation skills

Leadership

Analytical skills

AI/ML

Python

Airflow

ChatGPT

GitHub

Google Analytics

Conversational AI

Machine learning

How to think about design career paths and what progression looks like for designers?

Design career path

Leading the transformation of the automotive software marketplace.

° Developing the technical roadmap for SDVerse's marketplace, aligning technology initiatives with business goals to drive innovation and growth.
° Spearheading the integration of AI features into the marketplace, enhancing user experience and adding advanced capabilities for customers.
° Directing the marketplace's re-platforming to a scalable and robust architecture, preparing it to handle future product expansions and increased user demand.
° Bridging the gap between stakeholders and technical teams by translating business requirements into actionable technical specifications, improving project efficiency and delivery timelines.

Lead Generative AI initiatives within Ford as a center of excellence, helping internal product teams within Ford efficiently use the Generative AI capabilities.

• Led the implementation and productionization of 10 AI projects within Ford Motor Company as AI enablement Lead and successfully delivered 4 of them to production, driving significant innovation and operational efficiencies across multiple teams.
• Developed the product roadmap for AI toolkits at Ford to accelerate AI adoption and reduce development lead time by approximately 6 months.
• Led the implementation of the LLM based web application for content creators within Ford and thus improving the efficiency in the content creation process by 50% .
• Implemented AI-based analysis on survey data, achieving 100% automation in providing deeper, actionable insights, leading to better product improvements.

• Led the optimization of the Mach1ML digital onboarding from 5 days to 2 hours, supporting Ford’s Cloud First Initiative
• Engineered and strategized the Mach1ML MDK product platform remodel, developing Airflow examples on Google Cloud, now used by 174 product teams within Ford.
• Led and developed a CI/CD pathway for promoting Airflow pipelines to production, enabling 25% of 174 teams to swiftly move their pipelines to production.
• Strategized and led the Mach1ML product roadmap, introducing four new features—CI/CD for image promotion, Generative AI Center of Excellence, MLOps development kit, and usage metrics—resulting in a 20% increase in adoption.

• Strategized the roadmap for a centralized MLOps platform at Ford by interviewing 25 data science teams to align with their needs.
• Designed and delivered a robust MLOps platform for adaptive digital cockpit and deep learning features, improving model deployment by 50% and reducing tech debt by 50%.
• Implemented a quality assurance pipeline using Sonarqube, FOSSA scans, and unit/integration tests, resulting in a 60% improvement in code quality and ensuring robust software.
• Designed a standardized process for processing model information for managing models with the plan of implementing it for all of the models developed at Ford.

• Led and implemented the Data Quality Inference Engine to implement real time data ingestion for one data source,Identify and fix 10 real time data quality issues, Build 15 business rules for data cleansing.
• Engineered the Profile FI application which customizes user settings within autonomous vehicles, tailoring preferences for ambiance, lighting, and various other facets to enhance the user experience by integrating with 4 interfaces namely Mission Delivery System, Connected Vehicle Feature Management Application, User Profile Setting Management and Vehicle Integration.
• Standardized the documentation for 15% of internal API and architecture documents, improving consistency, clarity, and ease of understanding for development teams

• Led a team to develop a supervised learning algorithm for predicting warranty costs during the product development phase of vehicle build and thus provided 1% warranty cost savings.
• Engineered the Warranty Analytics solution for the Global Issue Management application, 100% eliminating manual and redundant processes.
• Modernized a legacy application using Materialize UI, enhancing web responsiveness and mobile compatibility thus increasing user activity by 30%.
• Led the Design and implementation of 15 Master Data Interfaces for Global Issue Management application to improve data accuracy within the application by 40%.

• Successfully launched a new Global Issue Management web application, serving 10,000 users across four regions.
• Coordinated global activities across four regions, focusing on multiple work streams, including enhancing the application for Premium Brands and managing joint ventures in the APAC and EMEA regions.
• Acted as the Global Technical Lead for the application, overseeing infrastructure configurations and ensuring the infrastructure's ability to sustain increased application load with major enhancements.
• Managed product activities, including project log preparation, risk identification, and development of risk mitigation plans.
• Enhanced global communication with partners regarding various global improvements.
• Conducted evaluation analysis for the Language Translator for the Global Issue Management tool, comparing features and costs between Microsoft Translator and SYSTRAN.
• Played a key role in shaping the statement of work for SYSTRAN, adding substantial value through the inclusion of important translation features.
• Provided weekly status updates to global stakeholders, coordinated releases from an SDLC standpoint, and managed the cost and effort of the global project.
• Integral member of the Innovation and Benchmarking team, providing innovative solutions to complex business problems.
• Successfully designed and executed data migration from the legacy application to the new application.

• The level 2 manager’s ambassador for the project acting  as the conduit between the Plant Code Program team and the Quality organization.
• Subject matter Expert (SME) for 5 applications DERS, Fast Feedback,Incident Disposition System, Perceived Quality Assessment,Performance Quality Assessment, eCIMS.
• Developed prototypes used for simulations using iRISE to provide the exact look and feel and behavior of the final business product.
• Wholly responsible for a Global Integration project to integrate the legacy FIAT Systems in LATAM with the Chrysler Systems
• Successfully completed the data migration from the old FIAT system to the Chrysler system, using batch update.

Primary job is to work on the Managing Notifications Tool for all the financial firms which work with Thomson Reuters. Developing new features for the tool and maintaining old functionalities of the tool. Primary work is in J2EE Struts Framework.

Primary Role is to develop the department's websites. Manage and monitor accounts in the department's sever which is a Macintosh server.

Data Analyst and Data Content Engineer for the Science Direct Fabrication Team under the prestigious client Reed Elsevier. Technologies covered were Java, Unix, Perl and Korn shell scripting.

Pavan Vemuri🇺🇸

About Pavan Vemuri

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