Aniket Bhatnagar is a machine learning engineer with a decade of experience combining deep learning, NLP, and production engineering to build robust AI systems. Currently at Verneek and formerly an Assistant Research Scientist at NYU Courant, he focuses on learned evaluation metrics for dialog and translation, emphasizing quality-drift mitigation via prioritized sampling and human-in-the-loop workflows. His background spans applied ML roles at Squad and internships at Amazon and IIT Delhi, where he shipped computer vision, speech, and scalable backend solutions. Comfortable across PyTorch, HuggingFace, and Java, he bridges research and product with hands-on implementation experience. Notably, he has worked on practical one-class image classification and keyword-spotting systems that enabled real-world monitoring and retrieval use cases.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at Jaypee Instittute of informaion Technology
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
Contributions:45 pushes in 5 months
nlpsentenceabstractive-summarizationchenrewriting
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Aniket Bhatnagar - Machine Learning Engineer at Verneek