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Amikumarsingh/README.md

💫 About Me:

Amit Kumar Singh

AI Engineer · Python Backend · Third-year AI & DS @ SPPU (CGPA 9.13/10) Amazon ML Summer School '25 Selectee · Smart India Hackathon Finalist

I build production AI systems — not demos. LLM inference pipelines, real-time event systems, multi-agent RAG architectures, and distributed backends serving real users.

Open to: SDE / AI Engineering internships — 6 months, available immediately

What I've built

Project Stack What it does
ai-content-compliance-rl Python · FastAPI · OpenEnv · Docker RL environment for training AI agents on content moderation
AI-Finance-Assistant-LLM-RAG-System Python · LangChain · Pydantic 3-agent pipeline for financial document intelligence
Multimodal-Document-Parsing-System LayoutLMv3 · Donut · OCR · PyTorch Benchmarks 3 Document AI architectures (F1 0.88)
Distributed-file-storage Python · gRPC · Docker · Kubernetes P2P storage with consistent hashing + replication
URL-Shortener-Rate-Limiter-System TypeScript · Node.js · Token Bucket URL shortener with custom rate limiting + analytics

LeetCode: 234 problems (Rating 1,372)  ·  GFG: Score 618, 96-day streak  ·  CF: Singh_Amit_Kumar (Rating 772)

🌐 Socials:

LinkedIn

💻 Tech Stack:

C++ Python CSS3 HTML5 Heroku Netlify Django Flask Anaconda Bootstrap Jinja OpenCV OpenGL MySQL SQLite Matplotlib NumPy Pandas Plotly scikit-learn GitHub Actions GitHub Git

📊 GitHub Stats:



🔝 Top Contributed Repo

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  1. ai-content-compliance-rl ai-content-compliance-rl Public

    Production RL environment for training AI agents on content moderation — OpenEnv compatible, Docker deployed

    Python 1

  2. AI-Finance-Assistant-LLM-RAG-System AI-Finance-Assistant-LLM-RAG-System Public

    Multi-agent pipeline (Research → Analysis → Generation) for financial document intelligence with zero-inference compliance

    TypeScript

  3. Multimodal-Document-Parsing-System Multimodal-Document-Parsing-System Public

    Benchmarks OCR+heuristics, LayoutLMv3, and Donut for document parsing — includes full evaluation suite (F1, latency)

    Python

  4. Distributed-file-storage Distributed-file-storage Public

    P2P distributed file storage with consistent hashing, configurable replication, SHA-256 integrity, and auto-recovery

    Python