Meenu Agarwal
Applied ML Research Scientist III at CrowdStrike
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolMeenu Agarwal is an Applied ML Research Scientist with ~9 years of experience building production-ready ML and GenAI systems across Retail, Finance, and AdTech. She specializes in retrieval-augmented LLM pipelines, multimodal processing, and scalable deployments on Databricks, having cut inference costs and manual review time substantially in prior roles. At LinkedIn she drove product analytics for Groups Discovery—uncovering a ~30% funnel opportunity and building executive dashboards and A/B testing frameworks that shaped roadmap decisions. Her background spans classical ML, deep learning, and computer vision (including a published IEEE paper), giving her a rare combination of research rigor and product-minded engineering. Based in Bengaluru, she pairs hands-on prompt engineering and Dockerized model deployment with strong experimentation and statistical analysis skills to drive ARR and client impact. A practical optimizer, she routinely balances model accuracy gains with runtime and cost reductions in production settings.
8 years of coding experience
7 years of employment as a software developer
BTech - Bachelor of Technology Electronics and Communication Engineering, BTech - Bachelor of Technology Electronics and Communication Engineering at National Institute of Technology Surat
Hindi, English
Github Skills (11)
deep-learning6
tensorflow6
autoencoder5
kernel-methods5
representation-learning5
stochastic5
graph-embedding4
graph3
graph-convolutional-networks3
integrate2
cmake1
Programming languages (2)
Github contributions (5)
meenuagarwal/Basic-Python
Jun 2017 - Jun 2020
Contributions:11 pushes, 1 branch in 3 years
meenuagarwal/MNIST-Classification-Using-Keras
Jun 2017 - Jun 2017
Contributions:13 commits, 12 pushes, 1 branch in 2 days
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