Today we’d like to introduce you to Lindsay Hua.
Hi Lindsay, we’d love for you to start by introducing yourself.
I’ve always been drawn to computers. As a kid, laptops weren’t even a thing yet, but I was completely fascinated by the idea that you could type something on a screen and change it at your whim. You could create documents and edit them endlessly, a huge upgrade from typewriters and white-out. You could draw images, even if they were black and green at first, and you could write simple code that made the machine do something. I even dreamed of becoming the fastest typist in my school. That curiosity never really left me.
In college, I studied Management Engineering, a very math-heavy program, but I intentionally loaded up on Computer Science electives to keep feeding my love for technology. My parents didn’t fully understand the power or future of computers and encouraged me to focus on business and management instead. In the end, I was fortunate enough to blend both, which turned out to shape my entire career.
I started professionally at Procter & Gamble as a Systems Analyst, managing global Business Intelligence systems. I moved up quickly and eventually oversaw Financial, Marketing, Product Lifecycle Management, and Networking systems as well. My team grew from five to fifty, and that was when I discovered how much I loved managing and developing people. Over time, I led global teams across Poland, Canada, the US, India, Ireland, and Costa Rica. That chapter taught me as much about leadership and culture as it did about technology.
After P&G, I entered the telecom world at T-Mobile, where I spent nearly a decade leading their Billing Technology organization. I often found myself bridging legacy systems and modern platforms, and I led a multi-year, multi-billion-dollar digital transformation with over a thousand cross-functional members in this massive program. The role stretched me deeply as a leader and gave me a real appreciation for the responsibility that comes with scale and impact. I supported consumer, SMB, enterprise, and government billing platforms, and found the work incredibly fulfilling, especially when we could remove friction for customers and genuinely delight them. Being part of the Un-carrier revolution was one of the most exciting periods of my career.
During the pandemic, I made a leap of faith from traditional enterprise technology into AI and machine learning. It was both humbling and energizing. I learned from data scientists and PhD researchers, dusted off my probability and statistics background, and rediscovered how fun applied math could be. The ability to optimize and precisely measure customer interactions fundamentally changed how I think about systems and outcomes. I spent nearly five years at Afiniti, leading global deployments across North America in industries ranging from telecom and banking to media, insurance, and hospitality.
Today, I’m at Trase AI, a startup focused on making AI uncomplicated and truly useful for mission-critical industries. Trase builds end-to-end AI agent applications that help organizations safely and securely automate complex administrative workflows. I lead our Engineering and Machine Learning teams, focused on scaling the organization and delivering purposeful, real-world agentic solutions. Looking back, my path has always been about blending technology, leadership, and impact, and I’m excited to keep building at that intersection.
Alright, so let’s dig a little deeper into the story – has it been an easy path overall and if not, what were the challenges you’ve had to overcome?
No, it definitely hasn’t been a smooth road. Like most long careers, mine has been shaped by moments of uncertainty, hard choices, and periods of real personal stretch.
One of the earliest challenges was choosing a path that didn’t fully align with my family’s expectations. Technology wasn’t seen as a safe or obvious option, and I had to learn early how to trust my own instincts even without external validation. That experience taught me independence and resilience, but it also meant carrying more emotional weight on my own.
The most difficult challenges, though, came from personal sacrifices that unfolded alongside my professional growth. There was a period when everything changed at once: I became a mom, relocated to a new country, started a new life as a wife, took on a new job, and settled into a new home, all at the same time. I spent years putting others first and pushing through without fully acknowledging the toll it was taking on me emotionally, mentally, and physically. At the time, mental health wasn’t something we openly talked about, and while my support system was small, it was incredibly mighty. Still, I learned the hard way what it feels like to take on more than you can realistically carry.
Professionally, leadership at scale brought its own pressures. Managing large, global teams and mission-critical systems meant constant accountability and very little room for error. Later, making the leap into AI during the pandemic added another layer of discomfort, stepping into a fast-moving, deeply technical space and confronting moments of self-doubt and imposter syndrome.
Those experiences taught me lasting lessons about boundaries, sustainability, and self-awareness. I learned not just how to lead organizations, but how to lead myself better, understanding what not to do, when to ask for help, and how to pace growth in a way that’s actually sustainable. Looking back, the challenges were difficult, but they shaped the leader and person I am today.
Can you tell our readers more about what you do and what you think sets you apart from others?
I’m an inclusive technology leader who’s spent most of my career sitting at the intersection of people, systems, and change. I build and lead teams that take complex technology, whether it’s large-scale enterprise systems or AI, and turn it into something that actually works in the real world.
What I specialize in is scale and translation. I’ve led global teams, mission-critical platforms, and multi-year transformations, and I’ve often been the person bridging old and new, technical and non-technical, strategy and execution. I’m comfortable in complexity, but I’m always asking, “How does this land for the people using it? Does it make their lives easier?”
I’m probably best known for being very human in how I lead. I care deeply about how technology impacts people, not just customers, but also the teams building it. That’s shaped everything from how I approach AI deployments to how I think about inclusion, leadership, and culture. I don’t believe technology is neutral. The values and assumptions of the people building it show up in the outcomes, whether we intend that or not.
What I’m most proud of isn’t a specific title or system I’ve delivered, although there have been many I’m proud of. It’s the people. Seeing engineers grow into leaders, watching teams find their voice, and creating environments where people feel safe enough to ask questions, challenge ideas, and do their best work. Those are the moments that stay with me.
What sets me apart, I think, is that I’ve lived on both sides. I’ve led massive, high-pressure enterprise organizations, and I’ve also worked in fast-moving AI environments where learning never stops and certainty is rare. I bring technical fluency to ask the right questions, understand tradeoffs, and connect strategy to execution, and I pair that with a deep focus on empathy, communication, and trust.. I don’t lead by being the smartest person in the room. I lead by helping the room get smarter together.
At this stage of my career, the work that excites me most is building technology that’s powerful but responsible, and teams that are ambitious but sustainable. That balance is hard, but when it works, it’s incredibly meaningful.
If you had to, what characteristic of yours would you give the most credit to?
If I had to name one quality that’s been most important to my success, it would be self-awareness, paired with impact-driven judgment.
Over time, I’ve learned that knowing my strengths, understanding my limits, and focusing my energy where I can create real, measurable value is what allows me to succeed – both for the organization and the teams I lead. I may not write every line of code anymore, but I bring technical fluency and judgment to make decisions that directly improve outcomes: scaling teams efficiently, deploying AI solutions that optimize customer interactions, or delivering enterprise systems that truly move the needle. That combination of awareness and impact focus allows me to navigate complex challenges while still creating tangible results for clients, colleagues, and the business.
Self-awareness also helps me lead sustainably. Early in my career, I often took on too much or tried to do everything myself, and I learned the hard way that overextending comes at a cost – emotionally, mentally, and physically. Pairing self-awareness with curiosity and openness keeps me learning across industries and technologies while ensuring I’m applying that knowledge where it will make the biggest difference.
Ultimately, this quality shapes everything I do. It guides how I scale teams, how I deliver technology responsibly, and how I build trust and empowerment with the people around me. It’s not about being the smartest or most technical person in the room; it’s about helping the room achieve more than it thought possible, creating measurable impact, and making sure that both technology and people thrive together.
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