Apurva Bhargava is a Machine Learning AI Engineer based in New York with 4 years of professional and academic experience applying ML to real-world problems. He earned an MS in Data Science from NYU and a BE in Computer Science and Engineering from BIT Mesra, delivering production-grade ML solutions at Informed.IQ across document extraction, fraud detection, and anomaly detection. Notable achievements include extracting fields from 30+ document types with 90% F1, and deploying fraud and near-duplicate detection models with low false positives and tangible revenue impact. His toolkit spans deep learning, NLP, graph autoencoders, and similarity search techniques, including fine-tuning Flan-T5 with reflection tuning and implementing SimHash/MinHash in vector databases. Beyond engineering, he teaches at NYU, researches AI fairness and abstractive summarization, and pursues interdisciplinary work across neuroscience, linguistics, and cognitive modeling—as well as writing poetry and short stories that explore intelligence.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science, GPA: 3.89/4.00, Master of Science - MS, Data Science, GPA: 3.89/4.00 at New York University
GPA: 10.00/10.00, GPA: 10.00/10.00 at Sophia Senior Secondary School, Bikaner, Rajasthan, India
Bachelor of Engineering - BE, Computer Science and Engineering, GPA: 8.81/10.00, Bachelor of Engineering - BE, Computer Science and Engineering, GPA: 8.81/10.00 at Birla Institute of Technology, Mesra
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Apurva Bhargava - Machine Learning AI Engineer at Informed.IQ