Summary
Ashutosh Agrahari is a Machine Learning Engineer at Apple with nine years of experience building ML and NLP systems, currently focused on making Siri smarter for Indian languages through modeling, failure analysis, and data curation. He has a strong foundation in data-driven production work from roles at NPCI where he built fraud-detection graphs, forecasting models, and data pipelines for large-scale financial systems. A high-achieving computer science graduate (9.39 CGPA, distinction), Ashutosh blends research internship experience in ML and blockchain with hands-on annotation and tooling support to unblock teams. He is skilled at turning linguistic and speech datasets into measurable accuracy improvements and mentors peers through code reviews and feedback. Known for a passion for computer science applied to real-world problems, he couples rigorous engineering with a taste for system-level thinking that surfaces in both modeling and pipeline design.
8 years of coding experience
2 years of employment as a software developer
High school, Computer Science, 92.50 %, High school, Computer Science, 92.50 % at City Montessori School
Bachelor of Technology, Computer Science, 9.39 CGPA (Distinction with Honours), Bachelor of Technology, Computer Science, 9.39 CGPA (Distinction with Honours) at Amity University Lucknow Campus
German, English, Hindi