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Tharun Jagarlamudi

Software Engineer · ML Infrastructure · Backend Systems · AI Safety


Projects

triton-kernels — GPU kernels in Triton

  • FlashAttention, MatMul, Softmax, LayerNorm
  • Autotuning for T4/V100/A100/H100

aria — LLM Red-teaming Agent

  • 10 attack strategies, 77 variants
  • Reflexion-based learning from failures

ddp-lora-trainer — Multi-GPU LoRA Fine-tuning

  • PyTorch DDP with gradient checkpointing
  • Mixed precision training (FP16/BF16)

cuda-mempool — CUDA Memory Allocator

  • Stream-ordered allocation
  • Size-class binning

vibeclean-ai — Static Analysis for AI Code

  • AST-based vulnerability detection
  • OWASP Top 10 coverage

lockfree-queue — Lock-free Queues (Rust)

arena-alloc — Memory Allocators (C++)


Skills

Languages: Python, C++, Rust, SQL ML/AI: PyTorch, Triton, CUDA Infrastructure: Docker, Kubernetes, AWS Data: Kafka, PostgreSQL, Redis


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