Work With Me

From a 15-minute call to a full-day team session. Pick what fits your situation.

I'm a Mumbai-based AI adoption practitioner with 10 years in tech: 9 years building .NET systems and cloud infrastructure (Kubernetes, AKS, Azure), plus a year in platform engineering. I build with AI tools daily in production work, not just demos. My YouTube channel documents real AI workflows, MCP integrations, and Claude Code projects as I build them. What I teach comes from what I ship.

Individual

Free
15 mins Video call

Discovery Call

Free

Not sure where AI fits in your work? Let's talk for 15 minutes. You tell me what you're trying to solve. I'll tell you honestly whether I can help and which session makes sense. No pitch, no pressure. If none of my services fit, I'll point you in the right direction anyway.

45 mins Video call

1:1 AI Mentorship

₹2,500

You're an engineer, PM, or team lead who knows AI tools exist but hasn't figured out where they fit in your actual work. Maybe you've tried ChatGPT but it felt like a toy. Maybe your company is pushing AI adoption and you don't want to fall behind. Maybe you're building something and want a second pair of eyes from someone who ships with these tools daily. This is a focused 1:1 session, not a course, not a lecture. You bring your specific situation, we work through it together.

Who this is for

  • Engineers exploring AI-assisted development (Claude Code, Cursor, MCP)
  • Team leads figuring out where AI fits in their team's workflow
  • Professionals who want to adopt AI but don't know where to start

What you walk away with

  • A clear picture of which AI tools match your specific work
  • Hands-on guidance on your actual use case (not generic demos)
  • A concrete next step you can act on this week

Book multiple sessions if you need ongoing support. Many people do one session, try things for two or three weeks, then come back with sharper questions.

90 mins Video call or on-site

AI Workflow Setup

₹5,000

You have repetitive tasks eating your day. Research that takes hours, reports that follow the same template, code reviews that could be faster, onboarding docs that nobody updates. In this session, we pick one high-impact workflow from your actual work and automate it end-to-end using AI tools. This isn't "let me show you ChatGPT." We set up Claude, Cowork, MCP servers, or automation pipelines on your machine, connected to your real files and projects. You leave with something working, not a plan to build something later.

Who this is for

  • Engineers or managers drowning in repetitive work
  • Solopreneurs who want AI doing the grunt work so they can focus
  • Anyone who's tried AI tools casually but wants a proper setup

What you walk away with

  • One fully working AI workflow on your machine
  • Understanding of how and why it works (not a black box)
  • Enough knowledge to tweak and extend it yourself

Listed as 90 mins but I won't cut you off mid-setup. If we need an extra 15 minutes to get it working properly, we take it.

Team Sessions

For Teams

6 hours (full day) 3 to 7 people On-site or remote

Team AI Training

₹50,000

Your team has heard about AI but most of them are still copy-pasting into ChatGPT and hoping for the best. Some are skeptical. Some are curious but don't know where to start. One or two might be using it well but can't explain their approach to others. This full-day session gets your entire team to a shared baseline. Not by lecturing about AI, but by having each person practice on their actual daily work during the session. Everything is practiced on your team's real projects. No slides-only segments. No toy examples.

What we cover

  • How LLMs actually work (the 20-minute version that changes how people prompt forever)
  • Context engineering: giving AI the right information to get useful output, not garbage
  • Setting up guardrails: what to check before trusting AI output, especially for code and client-facing work
  • AI-assisted development with Claude Code and Cursor for engineering teams
  • Responsible usage: what your team should and shouldn't put into AI tools (compliance, IP, data sensitivity)

Who this is for

  • Engineering teams (3 to 7 people) where AI adoption is uneven
  • Managers who want their team using AI but doing it responsibly
  • Teams that tried AI tools and got inconsistent or unreliable results

What your team walks away with

  • Every team member with a working AI setup on their machine
  • A shared prompt library tailored to your team's common tasks
  • Clear guidelines on what's safe to put into AI tools and what isn't
  • Confidence to use AI daily, not just when they remember to

On-site preferred. I'm based in Mumbai and happy to visit your office. Full-day sessions work significantly better in person. Remote works too if your team is distributed.

6 hours (full day) 2 to 5 people On-site or remote

Build-Along Session

₹50,000

Your team has a specific tool, workflow, or internal system they want to build, and you want to build it with AI, not just talk about it. This is the session where we actually ship something. I sit with your team for a full day and we build together. I drive the AI tools, your team drives the requirements and decisions. By end of day, you have working software AND a team that watched (and participated in) the entire process. They can build the next one without me.

What we've built in these sessions

  • Internal knowledge bases that answer team questions from your docs
  • MCP servers connecting AI tools to your company's data sources
  • Automation pipelines for reporting, onboarding, and review workflows
  • Custom Claude Projects configured for your team's specific context

Who this is for

  • Teams with a specific idea they want to prototype in one day
  • Engineering leads who want to evaluate AI-assisted development on a real project before rolling it out
  • Founders who need an internal tool built and want to learn the process, not just get a deliverable

What your team walks away with

  • A working prototype or tool deployed to your environment
  • Your team understanding how it was built and how to extend it
  • A decision framework for which future projects fit AI-assisted development and which don't

Different from Team Training: Training teaches your team to use AI in their existing work. Build-Along produces a specific new thing that didn't exist before. If your team needs both, book Training first. The training makes the build-along dramatically more productive. Best for 2 to 5 people; above 5, some people end up watching instead of building.

Not sure which one fits?

Most people start with the free discovery call. In 15 minutes I can usually tell you exactly which session (if any) would actually help. If your situation doesn't fit any of these, I'll tell you that too.

  • If you're a team lead exploring AI for your team: start with Team Training.
  • If you have a specific tool you want to build: start with Build-Along.
  • If you're an individual figuring things out: start with 1:1 Mentorship or the Discovery Call.
Book a free discovery call →