01 / The foundation
Singapore.
Learning to build things that last.
From studying AI at SMU to shipping models and systems at Dentsu, Micron, and HPE.
Analytics → manufacturing → enterprise AI
Marina Bay Sands · Gardens by the Bay
Applied AI Scientist at Inception42 · Abu Dhabi
I'm Pranav Arora. I build agentic AI, retrieval systems, and evaluation workflows, from experiments to production.
Inception42 · HPE · Micron · Dentsu
Selected work / 01 to 03
Three applied AI projects, with working interfaces, evaluation results, and engineering tradeoffs.

Turns financial news into paper-trading decisions with human approval
Human approval before every paper trade
View case study
Answers questions from research papers and measures answer quality
3.6 / 5 average judge score across 10 queries
View case study
Teaches a compact model how Gulf professionals naturally mix Arabic and English
5.1% → 34.7% code-switch ratio on four saved prompts
View case study01 / The foundation
Learning to build things that last.
From studying AI at SMU to shipping models and systems at Dentsu, Micron, and HPE.
Analytics → manufacturing → enterprise AI
Marina Bay Sands · Gardens by the Bay
02 / A new horizon
Same curiosity. A wider horizon.
Taking the lessons of production engineering into a new chapter of applied AI.
Different city. The same commitment to useful AI.
Across the Indian Ocean
03 / The next chapter
Building what comes next.
Applied AI Scientist at Inception42, working on agentic systems, evaluation, and governed AI workflows.
Applied AI · evaluation · production
Etihad Towers · Sheikh Zayed Grand Mosque
04 / Abu Dhabi · Dubai
Beyond one skyline.
From Abu Dhabi’s waterfront to Dubai’s soaring architecture. A wider view of the Emirates, with my next chapter rooted in Abu Dhabi.
Based in Abu Dhabi. Looking ahead.
Burj Khalifa · Burj Al Arab · Dubai Frame
About me
I started in analytics at Dentsu, worked on manufacturing systems at Micron, and built enterprise AI at Hewlett Packard Enterprise. Today I'm an Applied AI Scientist at Inception42 in Abu Dhabi.
That path shapes how I work: understand the operating problem, build a measurable experiment, and make the result usable by the people who depend on it.
My background & experienceField notes
Reading a small evaluation without turning an average score into a claim of production readiness.
Read the noteWhat a reviewer needs to see between a model-generated signal and an action.
Read the noteWhat changed in four Arabic-English model comparisons, and what the metric leaves unanswered.
Read the noteContact
Have a research question, an engineering challenge, or a collaboration in mind? Tell me a little about it.
pranav2vis@gmail.com ↗