Now · MBA year 2 · open to AI engineering, product & research roles
AI engineer turned MBA. I build machine-learning systems that hold up to scrutiny, and work out where they create business value.
01 · The engineer
Computer science at PES University, then AI research at PwC: jet-engine prognostics, biomedical retrieval and medical image search. The research was about honesty as much as accuracy.
02 · Research at PwC
01 · Revised manuscript · under review
Finding the right sensors and network settings for jet-engine failure prediction, with far fewer training runs.
16–51%fewer evaluations than TPE to reach the same quality
Read case study →02 · Under review
An honest, controlled study of which parts of a biomedical retrieval pipeline actually matter.
+49.7%nDCG@10 over a matched BM25 baseline
Read case study →03 · Under review · SN Computer Science
A medical image search system that knows when to say “I don’t know” and hands the case to a clinician.
0.987mAP@20 on the 50% most confident queries
Read case study →03 · The pivot
Now an MBA in Digital Business Management at IIM Bodh Gaya (2025–27), to understand where AI systems actually create value.
The intersection of engineering and business is where the interesting problems live.
04 · Impact
−60%
Job posting, tracking and manager approvals moved into a SharePoint portal with Power Automate.
−50%
Request and receipt workflows, automated end to end.
4
One published (Springer, 2025) and three under review, including a first-author paper on jet-engine prognostics.
05 · Beyond the work
I make videos and take photos in my spare time. A few of them found an audience.
06 · Contact
I'm open to roles in AI engineering, AI product and research collaborations. Email is the fastest way to reach me.