Ashish Upadhyay
Vice President at JPMorganChase
Glasgow, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolAshish Upadhyay is a VP at JPMorgan with 8 years of experience building production-grade AI systems that drive measurable business impact, having progressed from Senior Associate leading the AIML News Risk Alerting System to his current leadership role. He holds a PhD in AI from Robert Gordon University and blends academic rigor with hands-on deployment experience across NLP, LLMs for content moderation, and risk-focused ML applications. Known for translating research into operational products, he has led stakeholder-facing delivery, community building, and cross-disciplinary collaborations in financial and regulatory domains. Based in Glasgow, he combines technical depth in information extraction and ML-driven risk stratification with practical engineering discipline to ship reliable, auditable models at scale. An understated strength is his track record of mentoring and teaching—evident from multiple university TA roles—helping teams adopt advanced AI methods responsibly.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computing (AI), Doctor of Philosophy - PhD, Computing (AI) at Robert Gordon UniversityBachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at IIIT-Naya Raipur
English, Hindi
Github Skills (38)
transformers10
pytorch10
named-entity-recognition10
language-model10
python10
in-progress10
machine-learning10
seq2seq10
language-processing10
deep-learning10
tensorflow10
natural-language-processing10
bert10
transformer10
speech-recognition10
Programming languages (4)
Github contributions (5)
ashishu007/ashishu007.github.io
Feb 2020 - Dec 2020
Kushashwa's personal blog. PyTorch, OpenCV, C++ and more...
Contributions:283 pushes in 9 months
deep-learningpytorchcomputer-vision
ashishu007/nlp-blog
Nov 2020 - Dec 2020
Some stuff about NLP
Contributions:30 commits, 1 PR, 27 pushes in 18 days
nlpnatural-language-processingtopic-modelingnlp-machine-learning
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