Summary
Naushad Shukoor is a Senior Machine Learning Engineer with a decade of experience building production-grade AI solutions across NLP, LLMs, RAG, recommendation systems, and scalable cloud architectures. He has delivered measurable impact—improving retrieval efficiency by 40% and cutting operational costs by 35%—by combining OCR-RAG pipelines, serverless LLM handlers, and optimized storage/workflow automation. At Jio he scaled recommender and analytics systems to tens of millions of daily users using Spark, Kubernetes, and robust monitoring, while at Zycus he led GenAI projects that automated supplier workflows and anomaly detection with JSON-driven pipelines. Comfortable bridging research and engineering, he designs end-to-end ML platforms with CI/CD, observability, and cost-conscious deployments, and mentors teams to operationalize models. Based in Karnataka, India, he pairs hands-on Python data science skills with pragmatic system design and a track record of hackathon-winning innovation.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at University of Mumbai
English, Hindi