Does your company need help with AI Use Cases, Implementation & Strategy?

​👉 If the answer is yes, get in touch with me via an introductory call or email me at [email protected]
I usually work directly with AI/Engineering/Product leaders & their teams who are planning to launch AI use cases to production and help them in various ways:
  • Identification of impactful AI use cases for the relevant domain and industry e.g. e-Commerce, FinTech, Manufacturing etc.
  • Reviewing of internal data assets to validate the feasibility, utility and business impact of the use case
  • Implementation of the Strategy and Roadmap to build the AI solution for the particular use case
  • Prioritisation of the multiple steps involved in experimentation, development and deployment of the final solution
  • Organisational training in specific AI tools and technologies required to build the AI solution
  • Hiring and Mentoring of Data Scientists and Machine Learning Engineers as well as AI Team/Org development
  • Strategy for monitoring and continuous training and active learning from real-world data to ensure high performance
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Here are some examples of the AI problems I have previously solved for my clients:
  • Gen AI for Business automation for SMBs
  • Gen AI for Content Creation & Marketing
  • LLMs for B2B E-Commerce use cases 
  • Fine Tuning LLMs for Domain-specific use cases
  • LLM Selection and Evaluation for AI Startups
  • Generative AI Pricing and Monetisation for AI-SaaS startups
  • ​Machine Learning Tools & Infrastructure for Tech Startups
  • Data engineering strategy for D2C E-Commerce startups
  • AI & Data Science team building strategy
  • AI team development and upskilling ​​

Why should you work with me?

I have worked on complex problems related to the brain & AI across a variety of organisations, domains, work cultures, and scale. These diverse experiences have provided me a unique perspective and ability to recognise patterns across different types of problems and domains to build custom strategies and solutions. 

  • Academia (Oxford, UCL, ENS)               x   UK & France (Oxford, London, Paris)
  • Big Tech (Amazon Alexa AI)                   x   USA (Seattle)
  • Unicorn B2C Startup (Swiggy)               x   India (Bangalore)
  • Seed-stage B2B Startup (Docsumo)    x   India (Bangalore)
  • Founder & Independent Consultant    x   India (Bangalore)

I also speak the language of different professionals and domains, thereby ensuring efficient cross-functional collaboration:
  • Software engineers to Data Scientists to AI/ML Engineers
  • Technical Product and Program Managers
  • Business Development & GTM professionals 
  • Sales, Customer Success & Marketing professionals
  • Executive leaders in Engineering and Product
  • CEOs and CTOs of Tech companies
  • Principals & Partners at VC & Investment firms
  • Clients from India, Europe, UK, Canada, USA

👉 I will work with you to increase the likelihood of successful outcomes while minimising risk and organisational time & effort.

What are the different ways in which we can collaborate?

1. Monthly subscription
  • Consultation details: We connect online for 1-2 x 45mins calls on a weekly basis while being in constant touch via email, WhatsApp, Slack, Discord etc. Most of the consultation will be done asynchronously.
  • Time commitment: Minimum duration of 1 month (extensible)
  • Pricing: Starting from USD 6000 per month

2. Project-specific consultation 
  • Consultation details: We will work together on a specific project with well-defined deliverables and milestones. We will collaborate regularly via weekly online calls as well as on-site visits of 1-3 days per month to work with your team as needed.
  • Time commitment: Minimum duration of 3 months; to be decided upfront 
  • Pricing: Connect to get a quote

3. Strategic consultation
  • Consultation details: I will collaborate with you as a fractional Head of AI. We will start from scratch by defining the use case, building the roadmap, aligning the relevant stakeholders to get buy-in, researching the strategies for solutions, planning the project as per your timelines and milestones, conducting sprint planning and retrospectives, hiring AI/ML engineers, and executing the project. We will collaborate regularly via weekly online calls as well as on-site visits of 1-2 weeks per month to work closely with your team. 
  • Time commitment: Minimum duration of 3 months; to be decided upfront
  • Pricing: Connect to get a quote

4. One-off consultation
  • Consultation details: Until you have decided on the right consultation plan, I can offer one-off consultation via online calls.
  • Time commitment: Maximum 3 sessions of 1 hour duration each
  • Pricing: USD 250 (INR 20k) per session
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Terms & Conditions
  • I typically sign an NDA before we discuss the consultation and an MSA upon agreeing the final terms of the contract.
  • You can choose to pay via Stripe (USD + fees) or bank transfer (INR).
  • Get started by connecting on an introductory call or by emailing me at [email protected]

How do we work together to successfully achieve your AI project goals?

1: Introduction
  • After you get in touch, we meet to discuss your specific problem statements, goals, timelines, budget etc.
  • You provide a document with detailed scope of work including deliverables, timelines, levels of engagement etc.
    • I can also sign an NDA to facilitate sharing of proprietary information necessary for the project
  • Based on your requirement and scope of work, I share a consulting proposal with detailed roadmap and pricing
  • We discuss and agree on all the necessary details and sign the contract to start working together!

2: Onboarding
  • You share the relevant documentation, code etc. about the project including current progress, milestones and metrics
  • I work with you and your team to finalise the roadmap, deliverables and timelines for completing the project 

3: Execution
  • Based on the type of consultation you desire (details above), I start working with you and your team on a regular basis 
  • We meet on a weekly/biweekly cadence to review updates, discuss feedback, and plan for the next stage/sprint

4: Completion​
  • We meet and discuss the delivery and success of the project as per the agreed roadmap, milestones and metrics
  • We produce a summary of the overall engagement, continue our collaboration on other AI projects, share feedback etc.