Summary
Gowtam Singulur is an Associate Architect and machine learning practitioner with 10 years of experience building production-grade AI and cloud systems across healthcare, legal, and security domains. He has driven end-to-end solutions—from LangChain-powered RAG search and automated legal drafting to AWS-scale data pipelines and anomaly detectors that protected thousands of resources and reduced operational costs. Comfortable across the full stack, Gowtam blends deep learning and statistical modeling with Python, TensorFlow, Java, Angular, and Node.js to ship robust, compliant products. He has a track record of improving efficiency (e.g., cutting precedent retrieval effort by 40% and inventory costs by 15%) and mentoring engineers on ML and DL practices. Currently pursuing an MS in Computer Science at Arizona State University, he pairs academic rigor with pragmatic engineering, often designing architectures that bridge research prototypes and scalable production deployments. An underrated strength is his ability to translate domain constraints (healthcare compliance, legal document workflows, security detection) into practical ML pipelines that deliver measurable business impact.
10 years of coding experience
6 years of employment as a software developer
Higher secondary MPC, Higher secondary MPC at Sri Chaitanya College of Education
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Arizona State University
Secondary SSC, Secondary SSC at students careers
Bachelor of Technology (BTech) Information and communication technology, Bachelor of Technology (BTech) Information and communication technology at Dhirubhai Ambani University
English, Telugu, Hindi