Trust And Compliance: The Cornerstones Of Digital Systems

Kunal Nandi's career as a Lead SDET illustrates the importance of trust and compliance in digital systems. His work spans fintech innovations and robotics testing, showcasing how rigorous frameworks ensure security and reliability.

In the world of evolving digital systems, trust, safety and compliance has become the true currency. Every time we tap our phones to pay, transfer money across borders, or bring smart devices into our homes, we expect these technologies to work seamlessly and securely. Few professionals embody the responsibility behind this trust better than Kunal Nandi, a Lead Software Development Engineer in Test (SDET) whose career spans fintech, tokenization, compliance, and robotics.

Kunal’s journey is not only about his own growth but also about the evolution of industries where security, precision and reliability are non-negotiable.

Professional Journey: From Fintech to Robotics

Kunal is currently serving as a Lead SDET at TikTok. Prior to this, he gained extensive experience working with major FAANGs and global payment giants, contributing to projects that redefined how people pay, borrow, and engage with technology.

His career spans fintech, lending, cross-border payments, and robotics, blending innovation with the critical need for trust. Over the years, he has worked on tokenization frameworks for digital wallets like Apple/Google/Samsung Pay, AI-driven lending platforms that provided fairer alternatives to payday loans, cross-border money movement systems meeting strict compliance standards, and simulation-based as well E2E testing for consumer home robots.

While reflecting on his career, in his own words: “My focus has always been building trust through systems that are reliable, compliant, and ready to scale.”

Tokenization: From Payments to Real-World Assets

Tokenization first entered the fintech industry about a decade ago, when leading payment network giants (example -Mastercard/Amex) introduced it to secure digital wallets such as Samsung/Apple/Google Pay. The idea was simple but powerful: replace a card’s 16-digit number with a unique encrypted “token.” Even if stolen, this token was useless outside its intended context. That early wave of tokenization became the foundation of modern payment security, protecting billions of transactions each day.

Today, fintech is entering a new phase: real-world tokenization. This goes beyond credit cards. The concept now extends to any real-world asset that carries value, which can be digitized, secured, and exchanged as a token. Some emerging domains include:

• Real Estate: Properties can be tokenized, allowing fractional ownership and easier transfers. Instead of paperwork-heavy processes, ownership can be verified and exchanged digitally using blockchain.
• Insurance Verification: Insurance policies and claims can be tokenized, reducing fraud and speeding up verification.
• Stable coin Settlement: Businesses can settle payments using stable coins (cryptocurrencies pegged to fiat), making transactions faster and more transparent.
• Cross-Border Money Transfers: Instead of relying on legacy remittance networks, tokenized systems can move money in near-real time at lower cost.

Kunal explains:

“Tokenization started as a way to protect payment cards, but its future is about securing everything that has value—money, property, identity, even healthcare records. The principle is the same: replace sensitive information with something secure and portable.”

His early contributions in testing tokenization APIs and building frameworks positioned him at the frontline of this transition. The journey from payments to real-world assets shows how fintech continues to evolve—and why trust and compliance remain essential at every step.

Robotics and AI Testing: Beyond Traditional Frameworks

If fintech is about transferring and securing money in compliant way, robotics is about securing daily life. In the consumer robotics space, Kunal worked on testing smart home robots designed to navigate autonomously and interact with people in real-world environments. Unlike traditional software, where testing often focuses on APIs and UI flows, robotics demands a fundamentally different approach.

Robots interact with the real world—moving, navigating, and responding to unpredictable conditions. Testing them requires simulation environments that can mimic real-world spaces, obstacles, and human interactions before devices are released to customers. Kunal designed end-to-end performance testing frameworks that went beyond surface-level automation. As an example, the “kidnap robot” —a feature that alerts owners if the device is forcibly removed—needed rigorous performance validation. It wasn’t enough to test a button click or an API response; the framework had to simulate real-world triggers, track how the robot responded across scenarios, and measure performance at scale.

“In robotics, you need to think beyond traditional test automation. It’s not just about code — it’s sensors, movement, real-time data, and human safety. Testing a robot is closer to testing a living system than a software app.” This philosophy reflects a broader truth: as AI-powered devices enter homes and workplaces, the role of SDETs expands from validating features to safeguarding human trust.

Lessons for Aspiring SDETs

For aspiring Software Development Engineers in Test (SDETs), Kunal shares lot of advice which blends technical know how with a forward thinking mindset. Here’s what he shares:

Look Beyond Just Testing:

“Being an SDET isn’t only about finding bugs - it’s about building trust in systems.” Therefore, focus should be on developing tools and frameworks and ensuring the whole application runs reliably and securely, not just only catching defects.

Blend Code with Compliance:

Strong coding skills are crucial, but what makes you stand out is knowing the domain—whether it’s PCI standards in payments or safety protocols in robotics.

Embrace Automation from the Start:

When systems scale and used by billions of user, manual testing won’t cut it. Build automation into your process early to keep up with the pace.

Keep Learning About Your Industry:

Fields like fintech, blockchain, and robotics move fast. Hence, stay curious and keep learning to stay relevant.

Put Customer Trust First:

Whether it’s securing customer's financial transactions or ensuring a robot navigates safely around a home, your work should always prioritize the user’s confidence, trust and safety.

The Bigger Picture

Kunal’s story illustrates how testing sits at the intersection of innovation and trust. Tokenization began by securing payment cards and now promises to secure real-world assets. Robotics started as prototypes in labs but are now entering homes, demanding rigorous safety frameworks.

At each of these frontiers, Kunal has applied the same principle: technology must deliver trust, compliance, and value. His career shows that behind every seamless transaction and every AI-driven machine lies a framework of reliability built by professionals who understand both the technology, the responsibility and the customer's trust.

Conclusion

From fintech security to robotics safety, Kunal Nandi’s career is a blueprint for how engineering and testing can shape the digital world responsibly. His work reminds us that every tap-to-pay or QR Code scan transaction and every AI-powered assistant relies not just on brilliant innovation, but on rigorous testing and an unwavering commitment to trust.

And for the next generation of SDETs, his journey offers both inspiration and a roadmap: build frameworks, learn compliance, stay curious, and above all—focus on trust.