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
CLI coding agent for solana programs. writes anchor, builds, debugs-fully autonomous.
long-term memory architecture for LLM agents. achieved 67% SBERT similarity, 49% ROUGE-L, 48% F1 on 199 QA tasks.
deployed qwen3-4B-instruct using vLLM on modal A10G GPUs. 337 tokens/sec throughput, 6.7s P50 latency.
texas-hold-em arena where LLMs bluff, bet and banter in character.
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.
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Feel free to contact me at manuagarwal1443@gmail.com