Deepansh Agrawal is a software engineer with eight years of experience building production systems and applied NLP solutions, currently contributing to core services at Uber from Bengaluru. His background spans cloud architectures, data structures and algorithms, and practical NLP research—work that began with academic projects at IIT (BHU) and led to published-style research on structuring unordered documents. Deepansh has delivered software across industries, from healthcare app security at GE to platform-scale contributions at Cohesity and internship experience at D. E. Shaw and IBM solving algebraic QA problems. He combines research-minded problem solving with hands-on engineering, often bridging NLP models and scalable cloud deployments to turn prototypes into reliable applications. Notably, he maintains an active interest in NLP despite a career focus on backend and cloud engineering, positioning him to translate language research into production features.
8 years of coding experience
2 years of employment as a software developer
Master of Technology - MTech, Computer Science and Engineering, Master of Technology - MTech, Computer Science and Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
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