Deepak Suresh

Senior Machine Learning Engineer at Infosys - Strategic Technology Group(STG)

College Station-Bryan Area United States
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Summary

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Senior
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Top School
Deepak Suresh is a Senior Machine Learning Engineer with 6 years of focused AI experience and 11 years in industry, blending research-grade innovation with production deployment. He designs end-to-end ML systems—building datasets, training and evaluating models across images, text, and tabular data, and deploying them with attention to fast inference via distillation and quantization. His work spans LLMs (including a masters thesis that produced a novel sparse LLM inference engine using SuiteSparse/GraphBLAS), GNNs, CNNs, and GANs, and has driven measurable business impact like reduced MTTR for SREs and higher precision in fraud detection. At Infosys he built RAG-based assistants and codebase-documentation tools that accelerated modernization, and his earlier roles delivered sizable time and cost savings for clients. Comfortable across Python, TensorFlow, PyTorch, Keras, Scikit-learn and Julia, he pairs systems-level optimization with practical product outcomes. An uncommon strength is his hands-on ability to translate sparse-matrix research into tangible inference speedups for large language models.
code11 years of coding experience
job6 years of employment as a software developer
bookIndian Institute of Technology Madras
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Texas A&M University
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Github Skills (62)

python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
science10
julia10
numerical9
programming-language9
javascript9
julialang9
hpc9

Programming languages (6)

JuliaC++JavaScriptLuaJupyter NotebookPython

Github contributions (5)

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Contributions:45 commits, 44 pushes, 1 branch in 3 months
deepaksuresh/MemN2N

Aug 2018 - Aug 2024

Contributions:6 pushes, 1 branch in 6 years
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