Summary
Ayush Sharma is a data scientist and AI engineer with nine years of hands-on experience building production ML systems and research-grade models, currently pursuing an MS in Artificial Intelligence at Northeastern and serving as a Graduate Teaching Assistant for Machine Learning. He has shipped end-to-end solutions across healthcare (fine-tuning clinical LLMs for high‑accuracy NER and scalable report processing at J&J), supply chain automation (reducing manual safety-stock calculations at Bosch), and digital-twin simulations for warehouse optimization at Honeywell. Comfortable across computer vision, NLP, and deep learning, he has published IEEE-indexed research and translated prototypes—like an AR-integrated pet emotion recognizer and shrimp-farm disease detection—into working systems. Ayush combines a strong mathematical foundation (probability, statistics, linear algebra) with practical engineering skills in Python, model fine-tuning, and pipeline orchestration, and he actively explores parameter-efficient tuning methods for resource-constrained deployments. Notably, he blends academic rigor with product focus—optimizing both model performance (F1 > 0.9 on clinical entities) and operational cost-efficiency—while competing in hackathons and contributing to technical communities.
9 years of coding experience
1 year of employment as a software developer
B.E., Artificial Intelligence and Machine Learning, B.E., Artificial Intelligence and Machine Learning at B. M. S. College of Engineering
BANGALORE INTERNATIONAL ACADEMY(Whitefield)
Ekya Schools
Master of Science - MS (Khoury College of Computer Science), Artificial Intelligence, Master of Science - MS (Khoury College of Computer Science), Artificial Intelligence at Northeastern University
English, Hindi, Kannada