Parth Tandel is a Senior Applied Scientist in Seattle with 11 years of experience blending production software engineering and applied ML, currently driving GEN AI and NLP initiatives at Amazon. He holds an MS in Data Science from Northeastern and has a track record of shipping end-to-end systems—from SageMaker-hosted transformer models and FAISS-based record matching to full-stack services integrating NiFi, TensorFlow servables, and map APIs. Comfortable across front-end, back-end, and research workflows, he has deployed large-scale pipelines for PDF structure extraction, duplicate detection on 250k+ product catalogs, and real-time clustering of news streams. Parth is drawn to challenging problems that span ML and web/mobile development and brings a pragmatic bias toward production-ready, automated deployments. An often-overlooked strength is his history leading small engineering teams and building operational tooling that bridges research prototypes to reliable services.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Northeastern University
Bachelor of Technology (B.Tech.), Information and Communication Technology, Bachelor of Technology (B.Tech.), Information and Communication Technology at Dhirubhai Ambani University
Fully Automated GCP Healthcare API /Pipeline to model EHR Data using sequential modeling (with attention) for patient timeline representation of features(https://mimic.physionet.org/) [Plug and play based serverless GCP architecture for sequential model training and inference pipeline on EHR data]
Contributions:6 PRs, 49 pushes, 5 branches in 2 months
Contributions:6 pushes, 1 branch in 1 year 4 months
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