Suransh Chopra is an Applied Scientist II with nine years of experience building and productionizing ML and ML-enabled systems, currently at Amazon in Delhi. He combines deep learning research in computer vision and NLP (GANs, transformers, Siamese BERT) with pragmatic MLOps and cloud-native engineering—having built end-to-end pipelines for table extraction from PDFs and an MLflow/DVC/Airflow CI/CD framework. His background includes scaling critical infrastructure (reducing latency by 90% moving persistence to S3) and stabilizing Kubernetes deployments, reflecting a strong systems mindset alongside model expertise. An educator and community builder early in his career, he has taught competitive programming and deep learning and led large student hackathons, which informs his clear communication and mentorship. Notably, he has experience bridging research prototypes to resilient production services, making him effective at shipping research-grade ML at scale.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Delhi Technological University (Formerly DCE)
High School Diploma, High School Diploma at Apeejay School
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