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Ayush Dadhich
Looking for a jobIndependent Machine Learning Engineer
I build production LLM serving, RAG, and MLOps systems in Python.
IndiaIndependent Machine Learning Engineer at Self Employed
About
I've benchmarked vLLM, Ollama, and NVIDIA Triton for LLM serving, improving throughput by 145% and reducing time per output token by 67% through scheduler and parallelism tuning. In my independent engineering practice, I also built Argus, a self-corrective visual-document RAG system that improved correct answers from 15/22 to 19/22.
Previously at Tata Consultancy Services, I built Python ML pipelines across 150+ production servers to forecast capacity pressure and expand alert coverage. I also shipped Django and AWS applications at Snowstack and production mobile backends at Alkurn Technologies, bringing five years of experience across machine learning, software engineering, and production infrastructure.
Experience
Independent Machine Learning Engineer
Independent work on LLM inference, retrieval systems, and production ML infrastructure. Benchmarked vLLM, Ollama, and NVIDIA Triton, and built a self-corrective RAG pipeline and an end-to-end MLOps project.
VLLMOllamaTritonDockerCUDALangGraphFaissPyTorchQLoRADPOStreamlitfastAPIMLFlowGitHub ActionsPrefectGoogle Cloud Run
Education
Illinois Institute of Technology
Master of Science in Data Science with a capstone project on drug-target bioactivity prediction using machine learning and literature mining.
Global Institute of Technology
Bachelor of Technology in Computer Science.