MS Computer Science · Carnegie Mellon University
Hi, I'm Mahek.
I'm passionate about deep learning and its impact across fields. I work on unsupervised representation learning, agentic AI and NLP, with applications in computational biology and quantitative finance. Before CMU, I spent two years as a Quantitative Research Analyst at JPMorgan Chase.
NeurIPS ’26DUIL: unsupervised Cryo-ET morphology identification
EMNLP ’23TempTabQA: temporal QA over semi-structured tables
2 yearsQuant Research at JPMorgan Chase
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What I've been working on
About
Education, honors, skills, and the communities I've led and volunteered with.
Research
Publications in Cryo-ET representation learning, temporal table QA, LLM sentiment analysis and relation extraction.
Experience
Multi-agent RAG and risk-model engineering at JPMorgan Chase, plus ML internships at KPMG and Caliche.
Projects
RL data attribution, a nanoC compiler, xv6 kernel extensions, a Unix shell and more.