Harshvardhan Solanki
Applied Scientist at Amazon
Greater Seattle Area United States
Summary
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Senior🎓
Top SchoolHarshvardhan Solanki is an Applied Scientist with a decade of experience bringing machine learning and NLP from research into production across fintech, HR tech, telecom and e-commerce at organizations including Amazon, IEEE, Flytxt and Accenture. He holds a rigorous BS-MS in Mathematics and Scientific Computing from IIT Kanpur and is pursuing an MS in Data Science (NLP) at Johns Hopkins, combining deep theoretical grounding with hands-on systems expertise. His work spans end-to-end AI delivery—modeling, distributed pretraining (e.g., building IEEE-BERT on 3.5M articles), and deployment using Docker, Kubernetes, Airflow, AWS/Azure and streaming stacks like Kafka. He has a track record of improving applied tasks (notably an 11% NER boost in IEEE collaboration), building AutoML and explainability features, and shipping scalable, fault-tolerant pipelines. Based in the Greater Seattle Area, he mentors startups and practitioners on operationalizing data science and is comfortable moving between research-grade model development and production engineering.
10 years of coding experience
3 years of employment as a software developer
Johns Hopkins UniversityBS - MS Dual degree, Mathematics and Scientific Computing, BS - MS Dual degree, Mathematics and Scientific Computing at IIT KanpurGithub contributions (5)
harshvardhan000/word_count
Aug 2017 - Jul 2021
Contributions:2 pushes, 1 branch in 3 years 11 months
flytxtds/KDDAutoML2019
Sep 2019 - Sep 2019
Contributions:7 commits, 6 pushes, 1 branch in 23 days
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