Summary
Mayank Rakesh is a Senior Data Scientist with 8 years of experience building and deploying ML systems that bridge research and production, currently driving advanced analytics at McKinsey & Company. He combines deep expertise in PyTorch/TensorFlow, graph and transformer models, and retrieval tools like Faiss and Milvus with pragmatic MLOps skills using Docker, Kubernetes, TFX and mlflow to deliver scalable pipelines on AWS. His work spans Big Data stacks (Hadoop, PySpark) and diverse datastores (MongoDB, ArangoDB, Elastic Search), enabling end-to-end solutions from pretraining supply-chain LLMs to customs risk detection and HS code classification. Notably, he led development of a trade-watch tool for misinvoicing detection and a hierarchical graph-transformer for tariff recommendation, demonstrating strength in applied NLP and graph learning for real-world regulatory and supply-chain problems. Based in Uttarakhand, India, he pairs engineering depth with an entrepreneurial R&D background as a former co-founder focused on environmental tech.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Bachelor of Technology - BTech at UPES