Karmanya Aggarwal is a Senior Machine Learning Engineer with 11 years of experience building and deploying high-throughput predictive models that move product and business metrics. He blends academic rigor—publishing at ACL and EMNLP—with hands-on protein design and generative modeling work that produced high-hit-rate antibody libraries and novel protein–protein interaction designs. Comfortable collaborating across engineering and stakeholder teams, he has a track record of shipping production ML (from anomaly detection at Twilio to sales lead qualification that increased conversions by 30%). His background spans applied research and productization, with experience building data pipelines, active learning systems, and low-data solutions for real-world deployments. Based in Cambridge, MA, he combines deep learning expertise from a Penn Data Science masters with practical engineering chops dating back to early internships and open engineering roles. A less obvious strength is his ability to negotiate project success metrics and annotation strategies to deliver resilient systems under tight labeling constraints.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Computer Science Engineering, Bachelor's Degree Computer Science Engineering at BML Munjal University
Delhi Public School Mathura Road
Electrical and Electronics Engineering, Electrical and Electronics Engineering at University of Illinois Urbana-Champaign
Masters Data Science, Masters Data Science at University of Pennsylvania
Contributions:15 pushes, 1 branch in 2 years 1 month
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