Growth and partnerships lead for IMEA, APAC, and CIS at KodeKloud, a hands-on learning platform for AI-native DevOps and cloud used by 1.5M+ learners worldwide.
This is my personal space on GitHub. Everything I publish, build, or write here is my own. Views, repos, and experiments are mine alone and do not represent the positions, strategies, or opinions of KodeKloud or anyone I work with.
I run growth across three segments in three regions:
- Enterprise: Platform engineering leaders, L&D, and CIOs moving from AI curiosity to measurable capability.
- Universities and colleges: Embedding hands-on, industry-aligned learning into curricula and employability pathways.
- Public sector: Supporting national and regional workforce initiatives with practical, outcome-led programs.
Regions I cover: IMEA (India, Middle East, Africa), APAC, and CIS. Based in Dubai, working across time zones from Lagos to Jakarta.
Most growth and sales roles do not require a GitHub profile. Mine does, because I believe the best GTM people in technical markets should actually build things. I use this profile to:
- Ship small tools that solve problems I personally hit (network monitoring, personal knowledge capture, health data aggregation).
- Experiment with local AI, MCP servers, and privacy-first developer workflows.
- Keep my instincts close to the tools our learners and customers use every day.
If you care about growth in developer-facing and AI-first markets, reading code still matters.
- netwatch: A trust-first network monitor. A fork of Sniffnet with a classification layer that labels connections as expected, new, or flagged. Built for people who want to understand what their machine is actually talking to.
- content-digest-app: A local-first Mac menu bar app that captures URLs, summarises them with a local LLM, and builds a personal knowledge base. Zero external data leaves the machine.
- A small stack of health intelligence tooling that correlates data across multiple wearables.
All experiments run on local models (LM Studio, Qwen) where possible. I prefer privacy-first setups.
- AI literacy is table stakes. AI readiness is the real unlock.
- Upskilling programs fail when they optimise for course completion instead of behaviour change.
- The education-to-employability gap is a hands-on skills gap, not a content gap.
- Growth in technical markets is won by people who speak the language of the end user, not just the buyer.
- From AI Literacy to AI Readiness: The 2026 Playbook for Universities. Written for higher education leaders building practical AI capability into their programs.
- 🌐 kodekloud.com
- 📍 Dubai, UAE