Summary
Ayush Thada is a Senior Data Scientist with 8 years of experience blending deep learning, probabilistic modeling, and software engineering to deliver production-ready AI systems. Currently building a domain-agnostic, full-stack Multi-Agent platform at Grid Dynamics, he bridges modular system design with generative agent workflows (ReAct + CodeAct) to enable scalable agent orchestration. His background spans fraud modelling and model deployment at Wells Fargo, NLP and document-visual model fine-tuning that drove F1 improvements from 83% to 93%, and integration of transformer models with SparkNLP for efficient pipelines. Comfortable across Python, C/C++, R, Hadoop/Spark and DevOps tooling, he pairs mathematical programming expertise in RL, Bayesian statistics and differentiable programming with pragmatic engineering. He also brings teaching and research instincts from academic roles and competitive internships, which surface in fast prototyping and adversarial learning experiments (e.g., RL for Trackmania). Based in Hyderabad, he maintains an active GitHub and favors solutions that make advanced ML research reliably operable at scale.
8 years of coding experience
Class IX to XII, Science Stream, 91%, Class IX to XII, Science Stream, 91% at Central Academy Schools
Bachelor of Technology (B.Tech.), Computer science and engineering, 8.89/10.0, Bachelor of Technology (B.Tech.), Computer science and engineering, 8.89/10.0 at Vellore Institute of Technology
Education & Research, Machine Learning, Education & Research, Machine Learning at Machine Learning Summer/Winter Schools
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Chennai Mathematical Institute
Rajasthani, French, English, Hindi