TrueML Innovation & Technology Culture

Describe a project you’re especially eager to tackle in the new year.

I’m especially excited to take the Riverty work we completed and evolve it into a fully standardized “European Creditor Ingestion and Reconciliation Framework.” We proved we can handle complex files end to end, and now I want to scale that into something repeatable across multiple portfolios.

The project starts simply: giving teams a consistent, reliable way to upload creditor files, validate them and generate clean placement, adjustment and reconciliation outputs. As the work deepens, I want to make the entire ingestion process more automated and less dependent on manual checks. Technically, this means transforming our current Riverty mapper into a modular pipeline that can parse debt/contract/claims/credit structures, enforce strict validation rules, run waterfall credit allocation, detect duplicates and automatically reconcile new files against historical placements to prevent double-applying credits. Ultimately, I want to build a reusable ingestion template that significantly reduces onboarding time for any European creditor.

What technologies and/or practices is your team leveraging to tackle this project?

We’ll approach the project with a mix of accessible tooling and deeper engineering infrastructure. At a high level, the team will rely on clear documentation, iterative testing with operations and tight collaboration to refine each creditor’s mapping and logic. We’ll continue using sample data to validate assumptions early and avoid rework.

On the technical side, the project will use Retool for the self-serve UI where operations can upload files and review validation results. The mapper and recon logic will be written in JavaScript and Python, leveraging PapaParse, JSZip and Pandas for parsing, transformations and file generation. Snowflake will serve as our system of record for placements, CRED events, historical runs and recon tables. We’ll use Jenkins jobs, or an equivalent continuous integration orchestrator, for scheduling automated ingestion flows. We’ll also incorporate improved logging, error-flagging, duplicate detection and pre-ingestion reconciliation as standard practices across all new creditors.

How does this project tie into larger company goals?

This project supports broader company goals by reducing operational overhead, improving data trust and accelerating new client activations. Starting from a simple goal — make file ingestion smoother — it has grown into something that directly impacts efficiency and client satisfaction.

As the pipeline becomes standardized, onboarding new creditors becomes faster and less risky. Cleaner data leads to more accurate treatment strategies, fewer consumer issues and more predictable recoveries. Automating checks like duplicate invoices, credit-application prevention and placement validation reduces the likelihood of balance disputes and ensures consistent processing across portfolios.

From a technical alignment standpoint, the framework helps scale our ingestion capabilities without proportionally increasing engineering lift. It turns custom creditor logic into a productized, reusable asset that enhances reliability, reduces turnaround time and directly supports revenue growth by enabling us to take on more portfolios with higher confidence.

How does your team stay ahead of emerging technology trends while scaling fast?

Scaling at speed requires a bias toward action and a culture of continuous knowledge-sharing. We don’t just read about new tech; we build it! By fostering an environment where engineers are encouraged to experiment and learn from one another, we ensure that innovation isn’t a bottleneck, but an accelerator. We lean heavily on the strategic insights of our architecture team to guide our explorations. This blend of grassroots experimentation and architectural foresight allows us to pivot quickly and integrate cutting-edge trends without losing our momentum. We stay ahead by staying curious and never being afraid to try something new.

What recent product or feature are you most proud of — and what impact has it had?

I am incredibly proud of the evolution of our data ecosystem. We’ve successfully implemented a sophisticated event-driven architecture and data bus that serves as the high-speed nervous system for our entire platform. What makes this truly special is the level of intentionality behind it. Our data lake was designed with rigorous security and privacy considerations from day one. This rock-solid foundation has unlocked new data science capabilities, allowing our team to launch ambitious projects. More than the code itself, I’m proud of the way our teams “teamed up.” Watching our engineers work seamlessly across disciplines to deliver such a complex, high-impact system has been the ultimate highlight.

How do you create a culture where innovation and experimentation are encouraged daily?

Innovation thrives on fresh perspectives, and we find ours through our incredible global diversity. By working daily with teammates across Mexico, Argentina and other global hubs, we’ve built a culture that naturally resists groupthink. It’s also great to learn about other cultures and be our best selves. I’ve had a fantastic time learning about the different holidays across our diverse culture. We encourage our engineers to bring their unique cultural and professional backgrounds to the table every single day. This constant influx of new ideas, combined with a safe environment for experimentation, ensures that we aren’t just following industry standards; we’re driving them. In our world, a diverse team is synonymous with an innovative team. Come join me on the team, and share your culture and ideas with us!