Summary
Aviral Mansingka is an AI Performance Engineer with 10 years of experience building scalable ML platforms and production systems, now based in New York. He led ML platform efforts at Apple for seven years and recently joined Modal to focus on AI performance at scale, blending deep research experience from Purdue with pragmatic engineering. His background spans production engineering at major tech firms (Apple, Microsoft, Yelp) and entrepreneurial mobile product development, where he shipped fast prototypes and production-ready features. Notably, his early research analyzed 12 million tweets for political trends and implemented novel character-based hashing to reduce NLP dimensionality, demonstrating a knack for turning research insights into practical, high-throughput systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Purdue University
International Baccalaureate Diploma Computer Science Mathematics and Physics, International Baccalaureate Diploma Computer Science Mathematics and Physics at Dhirubhai Ambani International School Mumbai
English, Hindi, Spanish