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sb-saksham/README.md

Hi 👋, I'm Saksham Bisen

Applied AI & Systems Engineer, building sandboxed execution infrastructure, agent orchestration, and eval frameworks

Robotics & Automation engineer who moved into AI systems. I build the layer between LLMs and reliable production behavior: execution sandboxes, orchestration graphs, and evaluation harnesses that make agents debuggable instead of magical.


🔭 Currently building

  • Agent execution infrastructure at LastLab AI: hybrid sandboxed runtime with conditional routing between Kata Containers (GPU workloads) and Firecracker microVMs (CPU-only isolation)
  • LangGraph-driven orchestration: stateful multi-step agent reasoning with typed tool contracts and recoverable execution graphs
  • Eval frameworks: component-level golden-response testing for agent reliability

🧠 What I care about

Agent reliability • Sandboxed execution • Specification-first systems design • Eval-driven development • The intersection of AI infrastructure and the physical world (robotics/UAV background)

🛠️ Languages and Tools

📍 Background

B.Tech, Robotics & Automation (9.1 GPA) · Contributed to Gemini/Llama training pipelines @ Turing · Distributed systems engineering in Go @ Cubane · UAV systems architecture @ VimaanX

💬 Ask me about

LangGraph • Firecracker microVMs • Agent evaluation • FastAPI • Distributed systems • UAV systems • Python production backends

📫 Reach me

Email: sakshambisen123@gmail.com
LinkedIn: linkedin.com/in/sbsaksham


📈 My GitHub Stats

Saksham Bisen


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  1. sustainable-circular-net-zero-house-planner sustainable-circular-net-zero-house-planner Public

    LangGraph based multi-agent self-correcting and validating agentic planner for a net-zero house planner in all aspects: Energy, water and food.

    Python

  2. selective-pesticide-spraying selective-pesticide-spraying Public

    Selective Real-time Pesiticide spraying from drone

    Python

  3. 1bit-llms-implementation 1bit-llms-implementation Public

    Implementation of research paper titled "The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits"

    Jupyter Notebook

  4. byte-latent-transformer-implementation byte-latent-transformer-implementation Public

    Implementation of paper titled "Byte Latent Transformer: Patches Scale Better Than Tokens"

    Jupyter Notebook

  5. implementation-multi-query-attention implementation-multi-query-attention Public

    Implementation of paper titled "Fast Transformer Decoding: One Write-Head is All You Need"

    Jupyter Notebook

  6. dermit-backend dermit-backend Public

    Dermit django backend

    Python 1