i dissect, tweak and fine-tune language models, from architecture to inference. strong math base, faster execution.
"winners don't make excuses when the other side plays the game"
selected projects
a containerized tool for scanning and reporting vulnerabilities in local or docker-based applications.
a character-level language model inspired by qwen3, implemented and trained on shakespeare dataset.
a lightweight character-level language model inspired after llama 3.2, trained on the shakespeare dataset.
an efficient character-level mixture-of-experts model inspired from qwen3-moe, trained on shakespeare.
a 4-bit quantized and instruction-tuned qwen3 model fine-tuned on custom data, that speaks yoda.
A RAG application built from the official langchain tutorial.
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Feel free to contact me at manuagarwal1443@gmail.com