Summary
Mahak Agarwal is an AI Engineer at IBM with 8 years of experience specializing in NLP and applied machine learning, blending research-grade methods with production-focused solutions. She has progressed from graduate research at USC—where she emulated quantum dynamics with neural networks and scaled experiments on a supercomputer—to building Transformer-based tooling at IBM for assessing text quality and feature prioritization. Her background spans weakly supervised NER, interpretability techniques like Integrated Gradients and occlusion sensitivity, and pragmatic engineering that cut trigger-extraction runtimes by hours. Based in New York, she pairs academic rigor with product impact, often translating novel research into internal tools that help teams make better data-driven decisions. An often-overlooked strength is her cross-domain fluency: from IoT and finance analytics in early roles to cutting-edge NLP pipelines today.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Applied Data Science, Master of Science - MS, Applied Data Science at University of Southern California
High School Diploma, High School Diploma at Delhi Public School, Pune
Bachelor of Technology - BTech, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electronics and Communications Engineering at Vellore Institute of Technology
English, Hindi