-- ==============================================================================
-- SATYANSH-MINI // NVIM RUNTIME BUFFER (STATUS: ONLINE)
-- ==============================================================================
local vault = require("satyansh.vault")
vault.inference = {
model = "SmolLM-135M-Instruct (LoRA)",
adapter = "satyansh-lora-r16 (PEFT)",
fine_tuned_on = "Satyansh gaur personal data",
parameters = "135M + 1.2M LoRA",
precision = "FP16",
runner = "github-actions-cpu",
run_id = 45,
generated_at = "2026-09-05 18:03 UTC",
}
-- ==============================================================================
-- LATEST COMPLETION
-- ==============================================================================
local completion = [[
Satyansh would look at a multithreaded process and think, 'Wait,
why did the OS wait so long?
]]name: Satyansh Gaur
located_in: India
role: AI Infrastructure Engineer // Systems Programmer // Performance Architect
numbers_that_matter:
paytm_hackathon: 1st Place Winner (CommuneOS)
sgp4_throughput: 275,000 steps/sec (192x Numba JIT)
graphmem_latency: 12ms multi-hop traversal (Consumer VRAM)
model_params: 135M + 1.2M LoRA (PEFT)
currently:
researching: GPU Architecture, Custom CUDA Kernels, Bank Conflict Mitigation
building: High-Throughput SLM Inference Engines & Multi-Agent Swarms
philosophy: "Hardware reality dictates software architecture."- Active Domains: High-Performance Computing (HPC), GPU Architecture, CUDA Kernels, Distributed AI Systems
- Core Languages: Modern C++ (17/20), CUDA C/C++, Python 3.12, Rust, Java
- Infrastructure & ML: PyTorch, TensorRT, vLLM, Triton, Numba JIT, ChromaDB, FAISS, Docker
