Rattandeep Singh is a Machine Learning Engineer with nine years of engineering experience who blends Columbia-level AI research (MS CS, 4.0 GPA) with production-grade software delivery from multiple roles at Intuit and Meta. He has shipped revenue-driving featuresโlike a Mint-to-TurboTax integration that generated $6.4Mโand built ML pipelines, generative-AI OCR solutions, and scalable microservices across backend, mobile, and distributed systems. As a Columbia NLP Lab researcher and prolific graduate teaching assistant, he works on LLM-powered clarifying-question generation and vision-language models for chart-to-table extraction while mentoring students in advanced CV and cloud courses. His work spans the full ML lifecycle: research prototyping, productionization, and observability (including an open-sourced fault-injection framework used broadly at Intuit). Comfortable switching between low-level performance optimization and high-level model design, he aims to bridge cutting-edge research and real-world products in finance and healthcare. Based in New Delhi with global experience, heโs open to roles in ML research, applied ML engineering, and quantitative development.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Netaji Subhas Institute of Technology
High School, CBSE, X and XII, High School, CBSE, X and XII at Indraprastha World School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University
Contributions:5 reviews, 17 PRs, 20 pushes in 5 years 10 months
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Rattandeep Singh - Machine Learning Engineer at Meta