abhinandan

Open source

Projects

Stuff I've built in agentic AI and LLM engineering. Reinforcement learning for reasoning agents, plus the runtime, caching and eval tooling you need to actually ship them.

RolloutCore

· RL Rollout Runtime

Versioned RL rollout runtime for vLLM with NCCL hot weight updates, version-pure rollouts, and cache-coherent transitions.

PyTorchNCCLvLLMRL
View on GitHub ↗

HiQCache

· Quantized SGLang HiCache

INT8 hierarchical KV caching for SGLang HiCache, delivering 43.75% lower host KV memory and 1.78× more L2 cache capacity for Qwen3-8B.

PyTorchSGLangQuantization
View on GitHub ↗

MiniServe

· LLM Inference Runtime
97%

a from-scratch LLM serving runtime with continuous batching, chunked prefill, block-based KV management, preemption, and prefix caching.

Python 3.12PyTorchPaged KV CacheContinuous BatchingPrefix Caching
View on GitHub ↗

AgentFlow-Pro

· Agentic RL Research
+5.0 pts

Process-supervised RL that made an 8B model reason better, and the gain carried over to a domain it never trained on.

PyTorchTRLDAPOPRMPEFT / LoRA
Read the case study →

SmartMemo

· Semantic LLM Cache
+30 pts

A semantic cache for LLM agents where a trained classifier decides if a cached answer is safe to reuse, instead of raw cosine similarity.

FAISSSentenceTransformersPyTorchSQLitePydantic
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Orchflow

· Agent Orchestration Framework
0 deps

A dependency-free Python framework for readable multi-agent pipelines: sequential, parallel, conditional, and resumable flows.

AsyncIOLiteLLMPydantic
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agenteval

· LLM Evaluation Tooling
pass-rate

Behavioral eval for agents: replaces brittle exact-match asserts with repeated-run pass-rate scoring for CI gates.

AsyncIOOpenAI SDKAnthropic SDKLangChainTyper
Read the case study →