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Saksham932007/README.md

Saksham Kapoor

Systems & AI Research Engineer
Operating Systems · Networking · Distributed Systems · AI from Scratch · AGI Research


About

I am a systems and AI research–focused undergraduate engineer with hands-on experience building low-level software systems and AI architectures from first principles.

My work spans operating system kernels, TCP/IP internals, and distributed infrastructure, alongside AI research including Transformer architectures from scratch, multi-agent systems, and Retrieval-Augmented Generation. In parallel, I actively conduct independent research and technical writing on Artificial General Intelligence (AGI), agentic AI, and scalable AI systems.

I currently work in an international startup environment, contributing to backend infrastructure and AI systems with a focus on reliability, performance, and research-driven design.

I am seeking on-site Systems / Infrastructure or AI Research internship opportunities in South Korea starting January 2026.


Core Focus Areas

  • Systems Programming & Linux Internals
  • Computer Networks (TCP/IP, Raw Sockets)
  • Distributed Systems & Fault Tolerance
  • AI Systems & Agentic Architectures
  • Artificial General Intelligence (AGI)

Selected Projects

  • Userspace TCP/IP Stack — Implemented a TCP/IP stack using Linux raw sockets, including TCP state machine and packet parsing.
  • 32-bit x86 OS Bootloader & Kernel — Built a two-stage bootloader and minimal kernel handling interrupts and memory management.
  • Transformer Architecture from Scratch — Implemented full Transformer model using NumPy without high-level ML frameworks.
  • Multi-Agent AI Systems — Designed autonomous agents with planning, memory, tool usage, and coordinated reasoning (AGI-focused).
  • Medical AI (CNN-Based Diagnosis) — Built CNN models for disease detection achieving high accuracy on benchmark datasets.
  • Retrieval-Augmented Generation (RAG) — Developed document-grounded AI systems to improve factual accuracy and reasoning.

Technical Stack

Languages: C, C++, Rust, Python
Systems: Linux, OS Internals, Networking, Concurrency
AI / ML: Transformers, CNNs, LSTM, RAG, Multi-Agent Systems
Tools: Git, Docker, PyTorch, TensorFlow, NumPy


Research & Writing

I publish independent research-oriented articles on AGI, agentic systems, and AI scalability:
🔗 https://medium.com/@sakshamkapoor810


Contact

Pinned Loading

  1. tiny_bootloader tiny_bootloader Public

    Assembly

  2. Transformer-from-Scratch Transformer-from-Scratch Public

    Jupyter Notebook

  3. RubyNetStack RubyNetStack Public

    Ruby

  4. RAG-Pipeline-with-Ollama-and-LangChain RAG-Pipeline-with-Ollama-and-LangChain Public

    Python

  5. Lung-Cancer-Detection-using-CNN Lung-Cancer-Detection-using-CNN Public

    Jupyter Notebook

  6. Multi_AI_Agent-Travel_Planner Multi_AI_Agent-Travel_Planner Public

    Travel Planner powered bu ai, so user can get fully travel plan and route.

    Jupyter Notebook