Summary
Abinaya Manimaran is a Senior Staff Machine Learning Engineer based in the San Francisco Bay Area with 8+ years building production ML systems across AdTech and biomedical domains. She combines deep algorithmic expertise and scalable system design to deliver measurable business impact—her projects at PubMatic contributed to a ~5% annual revenue uplift from model-driven monetization. A published researcher and two-time inventor with 3 papers and 2 granted patents, she bridges research and product by designing robust experiments, CI/CD pipelines, and deployable models (e.g., a BioBERT-based multi-label classifier with >0.95 F1 at Microsoft). Comfortable with probabilistic modeling, deep learning, and large-scale pipelines, she routinely aligns technical trade-offs with stakeholder goals. Less obvious: her early research on Saak transforms and super-resolution work informed practical robustness and perceptual-quality lessons she applies to production ML models.
8 years of coding experience
11 years of employment as a software developer
Master of Science - MS (Honors), Electrical Engineering - Computer Vision and Machine Learning Specialization, Master of Science - MS (Honors), Electrical Engineering - Computer Vision and Machine Learning Specialization at University of Southern California
Bachelor of Engineering, Electronics and Communications, Bachelor of Engineering, Electronics and Communications at Thiagarajar College of Engineering
Mathematics, Physics, Chemistry, Mathematics, Physics, Chemistry at Alpha plus Mat. Hr. Sec. School
Central Board of Secondary Education of India, Central Board of Secondary Education of India at Alpha Wisdom Vidhyashram
English, Tamil