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Status: Submitted
Last saved: May 14 at 3:22 PM IST
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Anish Posim Reddy Team Lead RSVP Approved
MLOps Engineer at Thomson Reuters
Contributed to defining feature requirements and planning the project architecture, helping align product goals with a scalable technical design using langgraph and gemini
I am an MLOps Engineer with about four years of experience building production-grade AI and ML systems. I currently work at Thomson Reuters, and my background spans AI, data science, and ML engineering roles across both India and the US. My work focuses on cloud architecture, scalable ML platforms, and agentic AI systems. I hold a masters degree in data science from UC Irvine and bachelors degree in computer engineering from SUNY Binghamton.
I am especially interested in agentic AI, verifiable AI systems, MLOps, and large-scale cloud infrastructure. I am also exploring how autonomous machine-to-machine commerce can become practical in real enterprise workflows.
I have designed cloud-native machine learning infrastructure and production AI systems across various environments. Currently, my project focus is heavily geared toward architecting verifiable, agentic AI workflows for enterprise applications
Zain hassan RSVP Approved
Student at Mcet
Owned end-to-end implementation, test validation, and issue debugging, leveraging Antigravity, Claude, and Gemini for faster iteration and higher code quality
Zain Hassan is a Machine Learning & Data Science Enthusiast and AI & Data Science Student at Methodist College of Engineering and Technology, pursuing Computer Engineering. He is open to new opportunities.