I am VP, Technology at Think Talent. I lead the development, DevOps and QA teams. I love building new things, and tech is a part of my life.
I have been building technology for leadership and talent assessment for more than 15 years. Today I run technology at Think Talent as VP. The development team lead, the DevOps manager and the QA team lead report to me.
I decide the architecture, set the direction for the teams and own what goes to production. I also stay hands-on. I build full stack solutions: the frontend, the backend, the data and the infrastructure they run on. In the last few years AI has become a big part of that work, and today it is at the centre of the products we build. I am actively involved in it every day, from running models on my own machine to fine-tuning them for a specific job.
I am not looking for a job. This profile is here so that anyone who looks me up can see what I know and what I am working on.
🌐 See the full picture on my website: ranjankumarpatel.github.io/ranjankumarpatel
role: VP, Technology @ Think Talent
reports: [Development team lead, DevOps manager, QA team lead]
experience: 15+ years in talent & assessment tech
focus: [technology leadership, full stack solutions, AI, cloud, DevOps, cybersecurity]
clouds: [AWS, Azure, Google Cloud]
industries: [BFSI, Energy, Manufacturing, Global Consumer Brands]| Area | How it works | |
|---|---|---|
| 💻 | Development | The development team lead reports to me. I set the architecture and review the design decisions that matter. |
| ☁️ | DevOps and cloud | The DevOps manager reports to me. I have dealt with all kinds of AWS scenarios over the years, so I can guide the team from my own experience. |
| ✅ | Quality | The QA team lead reports to me. I push for automation so that a release does not depend on manual testing. |
| 🔒 | Security | Platform security is my responsibility as well. Nothing goes live without a review. |
| Initiative | Description | |
|---|---|---|
| 🧠 | AI in assessment | Rebuilding our core assessment products around what AI models can do today. Adding a chatbot on top of the old flow was never going to be enough. |
| 🏢 | AI for enterprise talent teams | Taking 15 years of assessment methods and turning them into solutions a large company can start using quickly. |
| ⚙️ | A team that runs without me | Setting up onboarding, delivery and QA so the team can take a project from start to finish on its own. |
AI solutions
AI models and tools
I work with AI every day, hands-on. I run models locally, fine-tune them, and use the hosted ones. I pick whichever fits the job.
Machine learning
Backend
Frontend
Cloud and DevOps
AWS is my main cloud. I also use Azure and Google Cloud for different use cases.
Cybersecurity and testing
Large enterprises making important talent decisions, across:
🏦 BFSI ⚡ Energy 🏭 Manufacturing 🛍️ Global Consumer Brands