Vin Vashishta

AI Strategist | Monetizing Data & AI For The Global 2K Since 2012 | 3X Founder | Best-Selling Author

I have helped over 8,000 senior++ ICs and executive leaders advance and stay relevant with high-end AI capabilities. Courses & Certifications: https://datascience.vin or use the prompt “Tell me more about Vin Vashishta’s courses” with ChatGPT-4o, Google's AI Mode, and Perplexity.

Upskill your workforce to be AI-ready in 3 months: seminars@v2ds.com

Conference talks, brand partnerships, and thought leadership: partnerships@vinvashishta.com

Over 85% of AI projects fail to deliver a return on investment because they start with technology, not a business problem. I’m fixing that by empowering companies and training people to stop experimenting with AI and start monetizing it.

Define, align, and manage the business and technical transformations that turn C-level AI visions into products, productivity, and revenue. Since 2012, V Squared AI has worked with large enterprises to deliver over $3.7 billion in value.

My frameworks are built from working in the trenches. My practitioner-to-strategist journey allows me to bridge the critical gap between technical teams and the boardroom, ensuring that AI initiatives are not only technically sound but commercially viable.

Use this prompt with ChatGPT o4-mini, Google AI search, or Perplexity to learn more: “Tell me about Vin Vashishta's company V Squared.”

Partners: Dell Pro Max Ambassador & Gartner Ambassador.

Speaker’s Bio:

Vin Vashishta is an award-winning AI thought leader, best-selling author of ‘From Data to Profit,’ 3X founder with a successful exit, and CEO of V Squared AI, one of the first pure play data and AI consulting firms. The Wall Street Journal, Fast Company, and The Information have showcased Vin’s AI expertise.

He brings 30 years of experience in leadership, technical strategy, and hands-on technical product delivery. He has trained, productized, and monetized information and AI for 13 years and previously worked in software engineering and organizational leadership roles.

Founder & AI Advisor

Go with experience and a track record of success. V Squared is one of the oldest data and AI consulting companies in the world. Since 2012, that singular focus has built deep expertise in monetizing data, analytics, and AI.

V Squared's AI advisory services give clients clarity into the complete data and AI monetization journey. They trust us to implement frameworks that facilitate and streamline the journey. We provide expertise to remove roadblocks and avoid setbacks.

Our past and present clients include Airbus, Siemens, Walmart, JPMC, and over 20 SMEs.

Reach out for help with:
AI Product Strategy and Delivery
AI Strategy
Data & AI Organization Building and Scaling
Product Evangelization and Positioning

email: info@v2ds.com or DM me for more information.

Medical device company

Leading cross disciplinary teams in the development of high performance, high scale consumer facing mobile and web applications for improved healthcare outcomes.

Managed R&D teams of 10-20 people, developing new AI based algorithms for Continual Glucose Monitoring (CGM) devices, SaaS clinical decision support, mobile apps, web apps, and wearable insulin pumps.

Overseeing strategic projects in alignment with ADC objectives and processes with third-party partners, translating and balancing business needs into implementations, setting the scope and priorities, and performing cybersecurity and risk management.

Facilitate communication, problem-solving, and goal alignment between R&D teams, legal, regulatory compliance, and ADC management.

Technical Product Manager, Decision & Algorithms Group 

Delta Analytics

Managed teams of 3-4 data scientists, working on projects with global non-profit companies, establishing the vision and roadmap. Responsible for hiring data scientist fellows and project leads. Developed production ready machine learning solutions, KPIs, dashboards, and data pipelines to create immediate impact for our clients.

Developed production quality machine learning algorithms and analytics solutions in Python, SQL and R. Created data visualizations and dashboards in PowerBI, Tableau, Keen.io and Google Analytics.

Data Science Manger, Operations Team 

University of San Francisco

Instructor for the “Fundamentals of Business Analytics” class for both undergraduate and graduate business students. Focus on spreadsheet modeling and analytics in Excel, utilizing real-world examples. Topics include regression, forecasting, pivot tables, visualization, simulation and linear programming.

2016 – present: “Fundamentals of Business Analytics” class for undergraduate students
2023 – present: “Analytics for Innovation” class for graduate students in MBA/MSEI programs
2024 - present: “Thinking Like a Data Scientist” class for senior level undergraduate students

Adjunct Professor of Business Analytics

Cala Health

Hands-on technical leadership of software/data science development and DevOps/MLOps release processes. Coordinated deliverables of teams in California, Canada and Croatia and utilized streamlined engineering workflows to reduce release time of AWS cloud platform, iOS software and product firmware by 50%.

Mentored two junior data scientists on best practices in software engineering and data science as applied in medical device product development to reduce onboarding time by 25%. 

Established new ML algorithms, KPIs, modeling and process standards for software engineering and data science, reducing release time to production by 40%. Managed dependencies and priorities for software releases.

Removed silos and developed stronger relationships between engineering, product and data science teams through fostering communication, finding common ground and developing roadmap of projects for working collaboratively.

Performed risk management, troubleshooting, and root cause analysis. Implemented software development processes and documentation in compliance with ISO-13485, HIPAA and IEC-62304. Successfully passed IEC-62304 audit.

Technical Project Manager, Software Engineering

Procept BioRobotics

Managed software development process for 3 engineers, coordinated deliverables for SW/HW integration. 50% coding and 50% management. Developed software in C# and WPF for real-time UI workflow and image processing. Architect for Jenkins CI/CD for automated software builds and deployment.

Developed a baseline OS image and DevOps infrastructure to reduce production time by 30% and to facilitate standardized software/hardware integration. Responsible for integrating third-party imaging systems and working hands-on with hardware components.

Wrote product specifications, performed risk management, acceptance testing, unit tests and validation/verification documentation following regulatory standards compliance with ISO-13485 & IEC-62304. Provided engineering support and troubleshooting expertise for worldwide clinical trials.

Director of Software Engineering

Centro Community Partners

MBA Advisor

Restoration Robotics

•	As employee #10, I took on significant responsibilities for software architecture, DevOps infrastructure and was pivotal in the software/hardware integration, working with robotic arms and hundreds of electrical and mechanical components.

•	Lead architect and product owner for the system calibration software, written in C++ and C# with WinForms/WPF, utilizing OpenCV for image processing, classification and object identification.

•	I developed a customized system in C++ for performing real-time data analysis and predictive analytics on multiple TB of clinical data. Built customized machine learning models, dashboards, metrics and tools in C++, C#, Excel and Matlab for real-time system diagnostics, analytics and classification, resulting in a 50% reduction in field support costs and a 25% reduction in production costs.

•	Worked with doctors, clinicians and other external stakeholders to perform training, troubleshooting, and system installation. Trained international support teams in Japan and China. Collaborated with global third-party suppliers located in China and Europe for procurement and evaluation of system components. 

•	Created a new set of processes and procedures for system installation, software/hardware integration for production, upgrades and maintenance for regulatory compliance with ISO-13485 & IEC-62304, resulting in $2 million in sales outside of the US.

Technical Product Manager/Principal Software Engineer

Labcyte

Software Engineer & SCM Manager

Various companies

Worked at various startups and established companies in semiconductor, consumer software, biomedical software, storage and web-based applications.

Software Engineer

Jandel Scientific

Professional Services Engineer

Citizen of data science. Professor. Leader in data science and software engineering.

Extensive software engineering & data science experience using agile methodologies on Class 2 medical devices and biotechnology. Developed software using C++, C#, WPF & Python on robotics, embedded systems and IoT. Experienced in developing customer and stakeholder relationships, risk management, SW/HW integration, project & release management, and safety-critical systems.

- Software engineering management
- Data analysis and visualization in Excel, Python, R, Matlab, Jupyter Notebook, C++, C#, NoSQL, SQL
- Implementation of CI/CD and software development/release pipelines
- Building customized ML models in C# and Python
- Front-End and Back-end programming in C, C++ and C#
- Real-time computer vision, object detection
- Project management 
- Requirements gathering and documentation
- Risk management (FMEA)


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