Ayush Bihani
Machine Learning Engineer at Meta
United States
Summary
👤
Senior🎓
Top SchoolAyush Bihani is a machine learning engineer with a decade of experience building production-grade ML systems, now applying his expertise at Meta after recent work designing LLM-powered applications and agents. He blends a strong statistical foundation from a joint MS in Statistics and Computer Science with hands-on engineering—fine-tuning LLMs with LoRA, deploying retrieval-augmented generation pipelines, and automating cloud DL workloads. His research at Purdue tackled multi-modal spatial reasoning and clinical sepsis prediction, revealing a knack for translating academic insights into applied solutions. Prior roles span from time-series forecasting and search relevance improvements to A/B testing and recommendation systems, showing versatility across the ML stack. Notably, he has experience creating agentic systems that orchestrate multi-step tasks and optimizing inference and training cost at scale.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at Indian Institute of Engineering Science and Technology (IIEST), ShibpurMaster of Science - MS, Joint Statistics and Computer Science, Master of Science - MS, Joint Statistics and Computer Science at Purdue University
Stackoverflow
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Github Skills (34)
milo8
traits8
tla7
mining7
blockly6
representations6
ide6
machine-learning6
java6
javascript5
classes4
antlr4
san3
classify3
golang3
Programming languages (5)
Github contributions (5)
ayushbihani/TensorflowOnAndroid
Oct 2017 - Jun 2018
Contributions:10 commits, 1 PR, 8 pushes in 8 months
androidtensorflow
ayushbihani/Training-TensorflowModel-On-Android
Jun 2018 - Oct 2019
Contributions:6 commits, 4 pushes, 1 branch in 1 year 4 months
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