Ajil Jalal
ML Researcher at Wispr Flow
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolAjil Jalal is an ML researcher and GenAI practitioner with 10 years of experience building production-grade multimodal LLM and diffusion model systems across finance and medical imaging. He holds a PhD from UT Austin and completed a postdoc at UC Berkeley where his work on diffusion-based MRI reconstruction and sampling optimization enabled clinically promising 10× faster scans. At PothosAI he shipped LLM+numeric models for market signals and optimized training/inference stacks for 40–60% throughput gains, and now continues applied research at Wispr Flow. He uniquely bridges theory and production—pioneering algorithms that merge compressed sensing with generative models and delivering provable recovery guarantees while owning data, infra, evaluation, and productization. Based in Berkeley, he also brings experience translating research into patented and shipped systems, from IBM root-cause pipelines to reproducible PyTorch clinical pipelines.
10 years of coding experience
7 years of employment as a software developer
Postdoctoral Scholar, Postdoctoral Scholar at University of California, BerkeleyDoctor of Philosophy - PhD Machine Learning in Information Theory - Theory and Applications of Compressive Sensing, Doctor of Philosophy - PhD Machine Learning in Information Theory - Theory and Applications of Compressive Sensing at The University of Texas at AustinIndian Institute of Technology MadrasSenior Secondary School CBSE, Senior Secondary School CBSE at National Public School, Indiranagar, Bangalore
English, Malayalam
Github Skills (10)
deep-learning5
inverse5
generative1
stochastic1
pytorch1
dynamical-systems1
stochastic-processes1
differential-equations1
stochastic-differential-equations1
modeling1
Programming languages (3)
Github contributions (5)
ajiljalal/code-cs-fairness
Jun 2021 - Aug 2021
Contributions:59 commits, 25 pushes, 1 branch in 1 month
utcsilab/csgm-mri-langevin
Jul 2021 - Dec 2021
Contributions:39 commits, 3 pushes, 1 comment in 4 months
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