• SaaS platforms with complex API logic
• Data pipelines for analytics and business insights
• Fintech & Healthtech backends with high security and compliance
• AI/ML integrations using TensorFlow, PyTorch
• Full-stack Python + React applications

Ankur (Founder): Let’s get real. Customers don’t just need Python developers — they need problem-solvers. So, Amit, if I were a prospective client, how would you explain what we actually do with Python?

Amit (CTO): We’re usually solving one of two challenges. First, building scalable Python/Django-based web applications — typically API-driven, microservice-heavy platforms. Second, and increasingly, handling serious data workloads: building data pipelines, transforming structured/unstructured data, and feeding it into analytics, BI, or ML pipelines.

Ankur: Can you give an example?

Amit: Sure. For one healthcare client, we transformed raw patient records — sometimes PDFs, sometimes Excel files — into a structured database that powers their analytics. For another, we integrated real-time IoT data from factory sensors into a central system, enabling safety compliance analytics. These aren’t just coding problems. They’re business problems solved through Python.

Ankur: Palash, you lead the practice. What do you look for when hiring Python talent?

Palash (Practice Head): We dig deep. We don’t just screen for Python or Django experience. We look for engineers who’ve built real systems. We check if they understand data flow, scalability, and security. We test how they collaborate and communicate.

Ankur: What kind of red flags do you watch for?

Palash: Developers who only know tools, not concepts. If you can’t reason through things like race conditions in a multi-threaded setup or can’t explain when to use thread-safe methods—those are gaps. Or if you can’t walk me through implementing a Singleton and why it mattered—we move on.

Amit: Also, in how they test—do they consider edge cases? Handle failure gracefully. Do they make assumptions or ask clarifying questions? Those behaviors tell us more than resumes.

Ankur: So, what distinguishes Clarion’s Python developers?

Amit: First, the average experience is 6–7 years. But more than that, every engineer goes through Topgrading. We evaluate mindset, not just skills. And our vEmployee™ model allows these developers to truly integrate with your teams.

Palash: They’re not freelancers or temporary staffers. They stick around. They’re invested in your long-term success, not just the next ticket. That’s what makes the difference.