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sumit063/README.md

👋 Hi, I’m Sumit Pandey

Backend & systems-oriented - full-stack software engineer with a strong foundation in distributed systems, networking, operating systems, and AI-powered tooling.
I enjoy building practical tools and platforms that are observable, debuggable, and production-minded.

Open to remote backend / systems / AI engineering roles.


🔧 Languages & Tech Tags

Java · C · Python · Go · MERN Stack · PostgreSQL · Bash
Linux · Operating Systems · Networking · Distributed Systems
AI Engineering · RAG · LLMs · Backend · Docker


🧠 Core Skill Set

Backend & Systems

  • Backend services and APIs (Python, Go, Java, Node.js)
  • Async processing, background workers, job queues
  • PostgreSQL, Redis, object storage
  • Docker, systemd, Linux server environments

Operating Systems & Linux

  • Linux internals (processes, memory, file systems, signals)
  • SSH-based access models, Teleport, secure remote access
  • Debugging system behavior via logs, metrics, and runtime signals

Networking (System Thinking + Hands-on)

  • Solid understanding of core protocols: TCP/IP, DNS, HTTP(S), TLS
  • How applications behave across networks, proxies, and tunnels
  • Hands-on debugging of connectivity, latency, and protocol issues
  • Experience reasoning about networked systems end-to-end, not just packets

AI Engineering

  • LLM integration (OpenAI, Gemini, Hugging Face)
  • Prompt design, structured output enforcement
  • Embeddings, semantic search, mini-RAG pipelines
  • Cost-aware, API-first, production-style AI usage

🚀 Projects

Name Languages Description Repository Open to Collaborate
Sprint Desk MERN A multi-tenant issue, sprint, and knowledge management platform supporting real-time collaboration, RBAC, and workspace-level workflows https://github.com/Sumit063/sprint-desk ✅ Yes
NetSage Go, React Network traffic analysis and debugging tool focused on flows, protocol behavior, and AI-assisted insights https://github.com/Sumit063/netsage ✅ Yes
Log Analyzer Python, PostgreSQL, React Django-based log analysis platform with regex pipelines, background parsing, and UI for large production logs Private ❌ No
RAG Knowledge Base Assistant Django Document-based Q&A system with background indexing, vector search, citations, and API-first design https://github.com/Sumit063/rag_kb ✅ Yes
Feature Automation Platform Django Internal automation system for managing feature-level configurations and reducing manual ops workflows Private ❌ No

🧪 Toolkits & Engineering Labs

Focused repositories built to explore system fundamentals and tooling.

  • Experimental CLIs & internal tools around debugging, analysis, and automation
Name Languages Purpose Repository Open to Collaborate
ai-core-kit Python, Go, Node.js Core AI integration patterns: text generation, structured outputs, embeddings, semantic search, and mini-RAG https://github.com/Sumit063/ai-core-kit ✅ Yes
MiniTrace C Minimal syscall tracing tool to understand Linux process execution and kernel interactions https://github.com/Sumit063/minitrace ✅ Yes
NetLoop C An event-driven TCP server/client in C using libevent, focused on the fundamentals of scalable networking https://github.com/Sumit063/netloop ✅ Yes

This section will keep growing as I build focused, single-purpose engineering tools.


💼 Experience (Summary)

Software Development Engineer

  • Built and maintained backend systems handling high-volume data and async workflows
  • Designed internal tooling for log analysis, automation, and system debugging
  • Worked close to dev, infra, SRE, and networking teams to diagnose production issues
  • Strong focus on observability, correctness, and system behavior under load

🤝 Collaboration

I’m open to collaborating on:

  • AI tooling with solid engineering foundations
  • Backend or systems projects involving networking and data pipelines
  • Developer tools that help with debugging and understanding systems
  • Literally anything innovative, exciting, and challenging!

🔗 Connect With Me

GitHub LinkedIn Instagram


Building practical systems. Thinking in terms of behavior, failure modes, and scale.

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