Prashant Rathi

CTO

London, England, United Kingdom15 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in transforming GenAI from demo to production.
  • Proven track record in cloud migration and MLOps.
  • Strong advocate for security and compliance in AI solutions.
Stackforce AI infers this person is a Cloud and AI Architect with expertise in enterprise-level solutions and MLOps.

Contact

Skills

Core Skills

Cloud ArchitectureTechnical LeadershipCloud TransformationMlopsCloud Automation

Other Skills

Continuous Integration and Continuous Delivery (CI/CD)Infrastructure as code (IaC)Digital TransformationGitOpsTech ConsultingProject DeliveryTeam LeadershipStakeholder ManagementAmazon Web Services (AWS)Microsoft AzureKubernetesProduct DevelopmentPeer MentoringHiringDigital Strategy

About

I help leaders take GenAI from demo to production - secure, stable, and at scale. I am a Principal Architect at McKinsey and QuantumBlack with 15+ years of hands-on work across AI, DevOps, MLOps, LLMOps, and Cloud Infra (AWS, Azure, GCP, Kubernetes, including air-gapped environments). ➡️ What I do best: ⤷ I build cloud platforms and delivery systems that reduce risk, speed up delivery, and turn AI into real business results. I am a security and compliance advocate because enterprise-grade solutions only work when they are safe and governed. ⤷ I work closely with C-suite leaders and senior stakeholders to turn business goals into clear technical choices, delivery plans, and measurable outcomes. I simplify complex topics, get teams on the same page, and keep decisions moving. ⤷ I also bring a builder mindset and product thinking. I enjoy taking ideas from zero to usable products, then scaling them with strong platform foundations and real adoption. 📌 Teaching matters deeply to me. I mentor and coach regularly, and if I was not an engineer, I would be a teacher. I believe education is a fundamental right and one of the most powerful assets a person can have. You can reach out if you want help with: → GenAI platform build (RAG, AI agents, LLMOps) → MLOps and model delivery (SageMaker, Vertex AI, Kubeflow) → Cloud migration, IaC, CI/CD (Terraform, GitHub Actions, and all latest tech) → Security, governance, and cost control for AI and cloud → Executive stakeholder alignment for AI and platform programs ✅  Always keen to learn what you are building. If you want help or a fresh view, send me a message. P.S: Opinions expressed are my own in a personal capacity and do not represent the views, policies, or positions of my employer (currently McKinsey & Company) or affiliates.

Experience

15 yrs
Total Experience
2 yrs 10 mos
Average Tenure
1 yr 5 mos
Current Experience

Mckinsey & company

2 roles

Principal Architect

Promoted

Dec 2024Present · 1 yr 5 mos

  • I have led cross-functional teams in delivering high-impact cloud and infrastructure projects, driving collaboration, and ensuring alignment with business objectives. My leadership extends to mentoring and coaching engineers, fostering technical growth, and guiding teams through complex cloud migrations and transformations. I have overseen the development of secure, scalable solutions, while empowering teams to optimize processes, enhance security, and reduce costs. My focus on mentorship and strategic leadership has resulted in improved team performance, increased project throughput, and greater alignment between technical efforts and business goals.
Continuous Integration and Continuous Delivery (CI/CD)Infrastructure as code (IaC)Digital TransformationGitOpsTech ConsultingProject Delivery+11

Principal (Jr.) - Technical Delivery

May 2017Present · 9 yrs

  • ▶ Designed and led the development of secure, highly available cloud infrastructures across AWS, Azure, and GCP, supporting over 100 enterprise-level projects.
  • ▶ Architected Infrastructure-as-Code (IaC) using Terraform, enabling seamless automation, faster deployment cycles, and cost-effective scaling.
  • ▶ Led and executed large-scale cloud transformation initiatives, migrating 50+ clients from on-premise to hybrid cloud environments, reducing infrastructure costs significantly.
  • ▶ Implemented enterprise-grade security frameworks incorporating IAM, encryption, network security, and proactive monitoring, reducing security incidents by 40%.
  • ▶ Automated CI/CD pipelines using GitHub Actions and Jenkins, decreasing deployment time by 40% and increasing collaboration across cross-functional teams.
  • ▶ Spearheaded MLOps initiatives, integrating machine learning models into production environments using Kubeflow, Vertex AI, and Sagemaker.
  • ▶ Mentored and led a diverse team of engineers, fostering technical leadership and aligning team efforts with strategic business objectives.
  • ▶ Provided strategic technical leadership on cloud migration, security optimization, and infrastructure management, ensuring scalable, cost-efficient, and compliant cloud environments.
  • ▶ Aligned cloud and AI strategies with business goals, driving 30% improvement in client satisfaction and increasing project throughput by 25%.
  • ▶ Architected highly available, fault-tolerant cloud platforms, achieving 99.99% uptime and minimizing operational overhead.
  • ▶ Reduced cloud costs by 20% through rightsizing strategies, implementing reserved instances, and leveraging spot instances for optimized resource usage.
  • ▶ Championed containerization and microservices architectures, improving scalability, security, and operational flexibility across multiple cloud-based applications.
ScrumDevOpsPythonTerraformAmazon Web Services (AWS)Management+9

Quantumblack, ai by mckinsey

3 roles

Principal (Jr.) - Technical Delivery

Promoted

Nov 2021May 2022 · 6 mos

DatabricksAWS SageMakerAmazon ECSAmazon EKSDistributed SystemsBig Data Analytics+2

Senior Consultant

Dec 2019Nov 2021 · 1 yr 11 mos

  • ▶ Leading project to build one-click automation to deploy analytics environment on top 3 cloud providers. Designed and developed a scalable, reliable, highly available analytics platform using Ansible, Python, Shell, and Terraform, Kubernetes. The project used more than 20 studies and saved more than 120 weeks of the time for deploying cloud architecture, enabling the data engineering team to start exploring data from day 1 of the study.
  • ▶ Stakeholder and leadership management and regularly providing updates to make sure we are following the guidance and moving in the right directions
  • ▶ Coaching junior colleagues with technical and non-technical topics to keep the motivation up and upskilling so that they can perform better
  • ▶ Leading client's projects to use the platform to get started within hours than weeks. Architecting cloud solutions as per client use-case and helping them build industry standards and security best practices.
  • ▶ Adhering to security, governance, scalability, DevOps best practices
  • ▶ Building MLOps capability and knowledge in the firm so that we can serve clients better in MLOps use-case. The first few founding members of MLOps team in the firm to experiment and explore more than 50 MLOps products, services, and cloud solutions to have solid knowledge across a suite of services and select the right tool as per use-case fit.
  • ▶ Presenting solutions for company-wide events to share knowledge with the wider community

Consultant - Cloud Architect

May 2017Dec 2019 · 2 yrs 7 mos

  • ▶ Helping cross-functional team to automate the deployment of analytics solutions on AWS, Azure, and GCP. Focusing on end-to-end delivery, development, and support for analytics workloads.
  • ▶ Working closely with Data engineers, data scientists, and machine learning engineers to constantly learn and improve the solution to make their experience better.
  • ▶ Managing internal McKinsey analytics platform built on AWS and integrating with open-source tools to build and improve CI/CD and DevOps posture.

Hewlett packard enterprise

Research and Development (Cloud/DevOps) Engineer

Mar 2016Apr 2017 · 1 yr 1 mo · Bengaluru Area, India

ScrumPython (Programming Language)Amazon Web Services (AWS)Technical LeadershipAutomationAgile Methodologies+2

Infosys

Technology Analyst

Oct 2015Mar 2016 · 5 mos · Bengaluru Area, India

Hcl technologies

Lead Engineer

Dec 2013Oct 2015 · 1 yr 10 mos · Noida Area, India

Wipro technologies

Project engineer

May 2011Dec 2013 · 2 yrs 7 mos · Bangalore

Education

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology (B.Tech.) — Computer Science

Jan 2006Jan 2010

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