Dealing with complex data and human systems

I'd worked in the banking industry, building models that cover

• personally identifiable information (PII) classification using small language models
• spread hyper-personalisation for derivatives
• recovery rate prediction of nonperforming loans
• identity card classification and text recognition using OCR
• business digital balance using Google Vision API
• recommendation system
• product purchase propensity

The first project we never forget

I was a confident junior engineer, passionate about every technical challenge I faced. Despite my youth, I took on some senior-level responsibilities.

There's nothing like being an owner to develop an ownership mindset

My high-risk, high growth experience has been in founding and running early-stage startups involving

• herd weight measurement using a mobile app
• parking management based on computer vision
• rural fire outbreak alerts based on satellite data along with an information campaign to educate farmers about the related lawsuits

Beyond good skills and an improved business perspective, an interesting outcome of these efforts was the creation of an ideation-to-validation framework guided by iterative, evidence-based decisions

The difference between doing and knowing

If I were to summarize the impact of my research experiences on the professional I am today, I would mention the ability to

• dive deeper into theory and code libraries when needed
• be analytical and focused
• be confident in my deliverables
• enjoy coding and writing

The crowning achievement of this phase of my life was a novel insight and analysis that led to my inclusion in the Special Issue of FTaC, consisting of about 15 papers selected from a total of 118 papers presented orally at the prestigious International Conference on Multiphase Flow