Hewlett Packard Enterprise

Supporting AI infrastructure pre-sales and business development across Central Europe for HPE Private Cloud AI (PCAI), an enterprise-ready AI platform co-developed with NVIDIA. I help customers define AI strategies, implement MLOps workflows, and scale model deployment on optimized hybrid architectures.

Key Contributions & Achievements:
→ Driving Pre-Sales Across Central Europe
Worked with business and technical stakeholders to address AI adoption challenges, demonstrate value, and support strategic deals.

→ Shaping AI Business Development
Helped define PCAI business strategy with partners and local teams, aligning with market needs and identifying new opportunities.

→ Strengthening Partnerships with NVIDIA and the AI Ecosystem
Led regional co-selling, customer engagements, and sales enablement with NVIDIA and channel partners.

→ Bridging the Gap Between AI Strategy and Execution
Guided organizations in creating AI roadmaps, enabling scalable infrastructure for model deployment and MLOps.

→ Educating and Enabling Teams
Delivered AI enablement sessions to internal sales and partner teams to strengthen regional go-to-market capabilities.

Solution Architect - HPE Private Cloud AI

Supported the go-to-market of HPE Ezmeral in Central Europe as a pre-sales engineer. Acted as a technical advisor to sales teams, partners, and customers, helping to demonstrate the platform’s value in modern data and AI environments. Contributed to field enablement, opportunity qualification, and feedback into product strategy.

Key Contributions & Achievements:
→ Sales Support & Technical Enablement
Worked with country architects and partners to explain Ezmeral’s capabilities, answer technical questions, and help close complex opportunities.

→ Hands-On Expertise in Data & AI
Developed practical knowledge in machine learning, data engineering, and Kubernetes to advise clients and support solution design.

→ Strategic Sales Collaboration
Aligned with account and sales teams to refine positioning, leverage competitive insights, and shape customer proposals.

→ Product & Market Feedback Loop
Collaborated with the product team to relay customer needs and influence the platform roadmap.

→ Regional Process Development
Helped define tools and best practices to support consistent pre-sales execution across the region.

Solution Architect - HPE Ezmeral - Data & AI SW Platform

Managed the design and delivery of large-scale infrastructure outsourcing and transformation projects for IBM’s major French clients. Led cross-functional solution teams, developed client proposals, and drove strategic account engagements with a focus on service innovation and profitability.

Key Contributions & Achievements:
→ Enterprise Solution Design
Led architecture for complex infrastructure services, including managed services and project-based IT transformations.

→ Client & Deal Ownership
Engaged directly with customers and senior stakeholders to understand business needs, tailor proposals, and support deal closure.

→ Service Definition & Contracting
Defined solution scopes, wrote statements of work, and managed customer expectations throughout project lifecycles.

→ Technology Enablement
Worked on deals involving hybrid cloud, big data, analytics, and emerging technologies like blockchain.

→ Innovation & IP Contribution
Submitted multiple patent ideas and contributed to IBM internal innovation initiatives.

→ High-Impact Engagements
Delivered over 50 major IT infrastructure deals across sectors, ensuring alignment with client business goals while driving margin for IBM.

Technical Solution Manager | Lead Solution Architect

Led the design and delivery of infrastructure solutions across Nordic and French accounts as a pre-sales architect. Translated complex technical needs into viable solutions using platforms like SAP, VMware, Unix, MS SQL, and Oracle. Acted as a trusted advisor to clients and led multi-disciplinary teams to deliver high-value proposals and implementations.

Key Contributions & Achievements:
→ End-to-End Solution Design
Architected technical solutions aligned with business goals, incorporating hybrid technologies to meet scalability, performance, and cost targets.

→ Client Engagement & Deal Support
Partnered with clients throughout the sales lifecycle, from discovery to proposal, to shape solutions and secure over €10M in business.

→ Leadership of Cross-Functional Teams
Managed internal and external expert teams, ensuring solution alignment, delivery feasibility, and clear documentation.

→ Profit-Driven Execution
Balanced client value with IBM’s profitability targets to craft win-win engagements that met margin expectations.

→ Complex Project Closure
Led the successful signing and planning of 100+ major IT service contracts, helping solidify IBM’s footprint in the region.

Infrastructure Services Solution Manager | Solution Architect

Alongside my main technical role, I served as an internal instructor within IBM, delivering structured training programs focused on AIX and Power Systems technologies. I enabled the growth of technical talent across IBM by teaching structured courses, mentoring certification candidates, and sharing advanced knowledge.

Key Contributions & Achievements:
→ Instructor for Core & Advanced AIX Courses
Delivered instructor-led courses across a broad technical spectrum including AIX basics, virtualization, advanced administration, PowerHA, and performance tuning.

→ Certification Mentorship
Guided colleagues through preparation for IBM Power Systems certifications, offering one-on-one coaching and structured learning paths.

→ Content Development & Customization
Adapted existing training materials to fit internal needs and real-world use cases, making complex topics accessible to all experience levels.

→ Cross-Team Enablement
Built strong relationships across departments by sharing expertise and creating a culture of continuous learning.

→ Recognition as a Trusted Knowledge Leader
Became a go-to expert for Power Systems training within the Brno office, reinforcing IBM’s internal capability development initiatives.

IBM internal Teacher

Directed large-scale technical infrastructure upgrades for French clients, managing project delivery across SAP, Oracle, Power Systems, and AIX migrations. Coordinated local and remote teams while maintaining operational continuity and ensuring alignment with customer expectations.

Key Contributions & Achievements:
→ Modernization & Migration Leadership
Oversaw Oracle and SAP upgrades, AIX migrations, and operational transitions from Solaris; improving reliability and performance.

→ Technical Oversight of Power Systems
Managed PowerHA clusters and Ethernet infrastructure, ensuring system uptime and optimized resource usage.

→ Crisis Management & Incident Response
Led a high-impact LDAP system recovery project with daily C-level reporting, restoring critical services under pressure.

→ Hands-On Infrastructure Buildouts
Designed and implemented server systems, ensuring optimal connectivity, redundancy, and scalability.

→ Collaborative Delivery Execution
Worked closely with diverse teams to coordinate technical delivery across multiple accounts and domains.

Technical Project Leader | UNIX Subject Matter Expert

In parallel with my role as Technical Project Lead, I assumed responsibility for coordinating the AIX release process for multiple French enterprise clients. Ensured smooth, compliant, and timely execution of software releases across a complex technical landscape.

Key Contributions & Achievements:
→ Release Calendar Ownership
Planned and managed the annual release schedule for AIX environments, aligning with client business needs and system maintenance windows.

→ End-to-End Release Coordination
Led release execution from pre-approval through verification and go-live, ensuring technical completeness and quality assurance at every stage.

→ Stakeholder Communication & Alignment
Acted as the bridge between delivery teams and clients, facilitating coordination and issue resolution throughout the release lifecycle.

→ Quality & Documentation Oversight
Maintained comprehensive documentation, testing evidence, and audit trails to support operational compliance and process improvement.

→ Dual-Role Management
Successfully balanced responsibilities across both technical delivery and process governance roles, showcasing versatility and reliability.

Release Process Coordinator

Atos

Acted as the lead Unix expert for a major client operations transition from IBM to Atos. Designed infrastructure, led technical migrations, and coordinated system standardization across Linux and AIX environments.

Key Contributions & Achievements:
→ Infrastructure Design & Delivery
Architected client-specific Unix environments, ensuring alignment with performance and security standards.

→ System Migration Execution
Led Linux-to-server transitions and AIX server deployments to meet business and technical transformation goals.

→ Automation & Scripting
Developed tools and scripts to streamline administrative tasks and increase operational efficiency.

→ Security & Compliance Hardening
Applied updates and configuration changes to align with internal and client-specific security requirements.

→ Stakeholder Communication
Provided regular progress updates to both client and internal stakeholders, ensuring visibility and trust throughout the engagement.

Subject Matter Expert

Progressed from Unix Administrator to Account Technical Leader, overseeing critical IT operations for major French accounts. Managed system performance, led knowledge transfers between international teams, and ensured reliable service delivery in complex environments.

Key Contributions & Achievements:
→ Operational Oversight of Unix Systems
Monitored, maintained, and optimized AIX and Unix environments to ensure stability and uptime for critical client systems.

→ Leadership in Knowledge Transfer
Led transitions of Unix operations from IBM France to IBM Poland, and later from Poland to IBM India, ensuring seamless continuity and capability retention.

→ Incident Management & Support
Handled high-severity technical incidents, often during off-hours, resolving issues under pressure with minimal disruption.

→ Client Relationship Support
Acted as a technical point of contact for key clients, aligning operations with business needs and building long-term trust.

→ Career Progression through Delivery Excellence
Promoted from admin role into leadership due to consistent delivery, problem-solving skills, and team collaboration.

Account Technical Leader

Started as a system operator and quickly progressed into a leadership role, overseeing a team responsible for daily monitoring and support of IT systems. Played a key role in transitioning operations to a new IBM delivery center in Poland and leading the new team to success.

Key Contributions & Achievements:
→ Operational Excellence
Monitored batch jobs, reports, and system health checks to ensure daily tasks ran smoothly with minimal failures.

→ Team Leadership & Coordination
Led a team of 16 operators, overseeing shift planning, quality control, and internal communication.

→ Transition Project Execution
Managed the operational transition from the Czech Republic to IBM Poland, relocating for three months to train the new team and ensure operational readiness.

→ Mentorship & Skills Development
Supported the growth of junior team members, helping them ramp up quickly and contribute effectively to the new delivery center.

→ Foundation of a Technical Career
Laid the groundwork for a successful career in enterprise IT through dedication, adaptability, and continuous learning.

Computer Operator | Team Leader

Hi! I'm Vincent, fifteen years ago, I moved to Brno (Czechia) for ‘just a year.’ Now I spend my days at HPE trying to turn AI buzzwords into business value without putting anyone to sleep.
At home, I’m usually explaining to my kids that AI won’t steal their toys. At work, I help companies build Private Cloud AI solutions they can actually trust.
Over the past 15 years, I’ve helped large companies to improve their business efficiency through successful digital transformation. 
Today, I lead technical strategy and solution architecture for key enterprise accounts. In addition to designing AI and data-driven solutions, I actively contribute to business development, opportunity qualification, and go-to-market planning. I work closely with sales teams, partners, and customers to shape solutions that address real business needs and position them for long-term success.

Multi-year experience focusing on the following areas:
- Solution Architecture, 
- Customer/Account Management, 
- Program/Project Management, 
- Service Delivery & Incident Management, 
- Leadership, 
- Global Deal Execution with Multi-Cultural Teams, 
- Organizational Change Management 
- Maintenance of business continuity, 

Technology Exposure:
- AI/ML: MLOps (MLflow, Kubeflow, Ray), LLMs, Databricks (Certified ML Engineer) and deployment on-premises and hybrid infrastructures;
- Data Engineering: SQL, Spark, Airflow, Hadoop, MapR/HPE Ezmeral Data Fabric Software, AWS (Redshift, S3, EMR);
- Cloud Native: Kubernetes (CKAD), ArgoCD, Git, Docker; 
- Cloud: IBM, Amazon Web Services & Microsoft Azure (Microsoft Certified);
- Physical Server & Storage Configuration (x86, p-Series, Mainframe, etc.) and HPE (Compute, Storage, Hyperconverged)

If you're looking for a professional to lead your next data-driven project, explore innovative AI/ML solutions, or drive your organization's digital transformation, feel free to connect with me. I look forward to collaborating on exciting ventures that push the boundaries of technology and business.


[Keywords: Data & AI, Solution Architect, Digital Transformation, Account Management, Program/Project Management, Leadership, Global Deal Execution, Cloud Native, AI/ML, AWS, Azure, Kubernetes, Data Engineering]

Vincent Charbonnier

DataKnobs

Built following products
KREATE - Create AI assistants with low code/no code.  See assistants.dataknobs.com
KONTROLS - Controls, Guardrails & Lineage to manage GenAI/AI/Data Products
KNOBS. - Experimentation for Data product/AI Assistant
E2E SaaS Tools
www.kreatewebsites.com - To generate websites
assistants.dataknobs.com - create AI assistants

Built e2e LLM applications including  prompt templates, RAG pipeline, vector-based search and fine-tuning models for different domains e.g.  financial plan assistant, real estate assistant, dietitian, travel, customer onboarding, customer support.




2023 - I am working with startups to deliver generative ai, ab testing and integrate machine learning into data products.  Built a product related to generative AI and capabilities to add compliance in generative AI.
Built Chatbot using ChatGPT, OpenAI
 2022  - Worked as CTO/CDO and  built an intelligent supply chain for Startup.  It includes Demand Sensing, Raw material forecasting, Smart Factory, Distribution Requirements Planning, and Inventory positioning. 

Technologies used - Machine Learning, Data, Google Cloud Platform, Azure, AWS, SAP
Leader for data scientists, cloud engineers, architects, and customer success managers

Chief Data Science & Technology Officer 

HIVE TA Technologies Inc.

Build Chatbot for Tax and financial Planning

Chief Data Science & Technology Officer

Supply Chain startup

Build AI solution on GCP - forecasting, demand sensing

Chief Technology Officer

JPMorgan Chase & Co.

Prashant delivered
1. Built data products e.g. Earning call, stock signals, NLP-SQL (Earning call generates summary of earning call,  Built using Transformer.  NLP to SQL generate SQL code)
2. Transformative Machine Learning use cases across firm
3. Provide thought leadership, define and deliver innovative products. 

AI Product I defined. include  Earning-call analysis,  NLP-to-SQL, PrivacyIdentification,  data quality.
Machine Learning use cases include

Example of use cases, Prashant team deliver
A. Stock signal for high-frequency trading: Determine stock price direction and use it for order placement for S&P500 and STOXX600 stocks.
B. Simulator for stock trading.  Reinforcement learning framework for stock trading.
C.  Customer feedback, sentiment analysis
D.  Models to find anomalies in cyber data
E.  Payment prediction and claims model(s)
F. Stock buyback

Managing Director ( Machine Learning and Engineering)

Google

Prashant Acted as head of Machine Learning practice in USA and in Canada.  Led many data science initiatives at Google. 
Prashant defined Google vision for Industry 4.0 (machine learning for manufacturing) 
Worked on Google Kaggle acquisition.  Led Google Kaggle Caesars initiative (3 company initiative).  It proved how to anonymize and secure highly confidential gambling data and run the Kaggle competition on Google Cloud AI.   


Organize first Kaggle competition on Google Cloud.  Played a key role in the Google-Kaggle acquisition.

A. ML to improve English in documents:  (Generative AI - generate medical papers)
B. Predictive Maintenance: Designed generic predictive maintenance solution using IoT signals   
C. Smart cities and streets: Build model(s) to identify road conditions and objects on streets. 
D. Vehicle usage determination: Based on IoT data, determine the purpose of vehicle use.
E. Visual anomalies - using photos to determine damage from car accidents.  (Use generative AI to generate dataset for model training)
5. Airport and aircraft saftey related model.
6.  Route prediction 
7. Predict which back up job will fail
8. Predictive maintenance




Expertise in : 
Recurrent Neural Network (RNN),  Convolutional Neural Networks (CNN), Deep Learning, AutoEncoder model architecture.
TensorFlow, CloudML, Cloud AI platform

Data Science Leader

Microsoft

I have worked on Bing Machine Learning, Azure Machine Learning and SQL server team.
In Azure ML, worked on ML platform. In addition deliver these data science use cases:

A. Led the development of the "Opportunity scoring" model that was shipped with Microsoft CRM.

B. Sales and Marketing Model. -  My team has built and deployed variety of Sales and Marketing machine learning models - to identify new customers, cross sell, upsell, churn, customer segmentation topics.

C. Flood Forecasting for National Water Center 
Imagine how many lives can be saved if we predict flood before rain start.  I have worked with NFIE (National Flood interoperability experiment) to build flood forecasting solution.   
I have designed and build ML Model to predict water thru Stream Gages. 
NFIE went live at NWC (National Water Center). Case study is published in NOAA book.  My research paper is accepted in Hydrology Journal.

Principal - Azure Machine Learning

Worked in the "Enterprise Strategy and Architecture"  group. 
Also build a machine learning model that identifies document/IP reuse.

Director Microsoft (ML and Cloud)

Worked on  www.Bing.com/AdCenter in  “Revenue and Relevance” Microsoft US.
Led development in Microsoft Yahoo integration
Click Prediction (Adpredict), Smart match, auction pricing, 
Led development of Behavioral targeting platform and audience intelligence store.

Lead - BingAds Machine Learning models

Build Algorithm  publishing framework for Audience intelligence.
Built audience intelligence platform.  Built personalization capabilities.
 Algorithm determine which "advertisement/recommendation" should be shown on Hotmail users.
Algorithm/Experiment published for Behavior Targeting on Hotmail, Bing, MSN.

Lead AdLab Research - Behaviroal targeting models platform

Group Program Manager of BI group (BI Center of excellence and delivery) in Microsoft India

Principal GPM - Analytics

Lead and Product Manager for "SQL Server Compact Edition"

Lead - SQL Server 

Wipro Technologies

Architected big mobile application HH3 for Pepsico/Frilolay
This application has 300 forms on a mobile device. It covers customers, order management, inventory management, sales order, promotions functionality of PepsiCo/Fritolay.

Solutions Architect

Steria Group

Architect for Halifax bank and Bank of scotland
Dev Manager/Architect of NSPIS – National strategy for Police Information System
Dev Lead for Unitied utilities project.

Between 1994-2003 I worked for Steria Group (known as IIS InfoTech). During these years I saw growth from 80 employee company to 2000 employee company.   For almost 10 years I worked on various customer sites.  While working for IIS, I built many teams and managed customer relationships for multi-million GBP.

Software Engineering Lead

Softek India

Assistant Engineer

Author of Generative AI Finance paper. Building Data Products using Generative AI, AI, knobs at DataKnobs and HIVE TA Technology, Ex-Microsoft, Google, JP Morgan Chase.

Experience Summary
May 2022 - Chief Data Science and Technology Officer, Startup(s)
2019 - 2022: Managing Director (Machine Learning and Engineering)
2016-2019 : Data Science Leader at Google.
2004-2016 : Director/Principal at Microsoft
1993-2004 : Architect and engineering lead in consulting companies.

I am building Data products using GenAI and AI.  See my product KREATE - https://kreate.dataknobs.com/

My team includes - Data Scientists, Machine Learning Engineers, Full stack developers, data engineers, product managers and architects.

Prior to Dataknobs/startup - I worked as Managing Director for Machine Learning & Engineering. I  built transformative machine learning products, data products and analytics solutions. 

Before joining JP Morgan Chase, I led data science initiatives at Google.  I played a key role in Google Kaggle acquisition and architected how data science competitions can be run on highly confidential data on Google Cloud.

At Microsoft, I worked on Azure ML,   Bing, and SQL Server products.  While working for bing.com I built an Audience intelligence platform for Microsoft. Audience intelligence platform is used for Behavioral Targeting on all Microsoft properties such as bing.com, msn.com, Hotmail, etc. 

I wrote a book on SQL Server and a chapter on machine learning in NOAA book.  

I also have expertise in handling data privacy, governance, differential privacy, cyber security, and applying machine learning for user/audience data. I have certification in handling data privacy and differential privacy.

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Vincent Charbonnier

Prashant K Dhingra

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