Summary
Suvendu Mohanty is a Senior Machine Learning Engineer with over a decade of hands-on experience designing scalable MLOps architectures, optimizing deep learning inference, and delivering cloud-native AI solutions at scale. He has driven measurable impact across Amazon devices and AWS, cutting model deployment time and tripling inference throughput through techniques like TensorRT and INT8 quantization. Equally fluent in data engineering and distributed training, he architects end-to-end pipelines with SageMaker, Kubeflow, Spark, and Kafka while integrating LLMs and RAG workflows to automate architecture generation and improve team productivity. Based in Herndon, VA, Suvendu blends strategic vision with practical implementation—bringing research-grade optimizations into production systems that power demand forecasting, pricing, and operational decisions. An engineer who moves seamlessly between low-level performance tuning and cloud orchestration, he is notable for applying generative AI to accelerate engineering workflows, not just product features.
9 years of coding experience
12 years of employment as a software developer
Master's degree, Master's degree at Biju Patnaik University of Technology, Odisha
Bachelor of Science - BS, Bachelor of Science - BS at Utkal University
English, Hindi