Ritesh Kumar Maurya

Machine Learning Engineer

Open to Work

Target role
Machine Learning Engineer
Availability
Actively looking
Experience
Beginner
Working preference
Remote (global)
PythonPyTorchMachine LearningDeep LearningGenerative AILLMsDiffusion ModelsFlow Matching

Qwen2.5 Tool-Calling LoRA

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PyTorch, Qwen2.5, LoRA, PEFT, TRL, LLM, SFT, Tool Calling

93.89% tool accuracy and 98.75% valid JSON on 400 held-out samples

nanoFM: Flow Matching with DiT

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PyTorch, Flow Matching, DiT, Generative AI, Transformers

End-to-end Flow Matching implementation with DiT, trained from scratch on 5-class image generation

nanoSBGM: Score-Based Generative Modeling

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PyTorch, Score Matching, SDE, DiT, Generative AI, ODE

Implemented VE, VP & sub-VP SDEs with both stochastic and probability-flow ODE sampling

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