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shivrajpatare/README.md

Shivraj Patare

Building scalable AI systems that move from research prototypes to real-world deployment.

🎓 Master's Student in Artificial Intelligence & Machine Learning
⚙️ Focused on LLM Systems, Applied ML, and MLOps
🚀 Passionate about building intelligent systems that create measurable impact


🧠 About Me

I specialize in designing and deploying AI systems that go beyond experimentation.
My work focuses on bridging the gap between research models and production-ready solutions.

I am particularly interested in:

  • Large Language Models & Retrieval-Augmented Generation (RAG)
  • ML system design & scalable inference
  • End-to-end AI application development
  • Automation through intelligent architectures

⭐ Featured Projects

🔹 AI Research Assistant (RAG System)

A document intelligence system powered by retrieval-augmented generation.

  • Built with LangChain + Vector Database
  • Reduced document retrieval latency by 60%
  • Designed modular pipeline for scalable deployment
  • Deployed using FastAPI + Docker

🔹 Time-Series Forecasting Engine

A predictive modeling system for structured temporal data.

  • Feature engineering + model ensembling
  • Improved baseline accuracy by 18%
  • Designed reproducible experimentation workflow

🔹 End-to-End ML Deployment Pipeline

Automated training and deployment workflow.

  • CI/CD integration for retraining
  • Containerized model serving
  • Cloud-ready architecture
  • Monitoring-ready inference setup

🛠 Technical Stack

Languages

Python • C++ • SQL

Machine Learning

PyTorch • TensorFlow • Scikit-learn • XGBoost

LLM & AI Systems

LangChain • RAG Architectures • Vector Databases • OpenAI APIs

MLOps & Deployment

Docker • FastAPI • GitHub Actions • CI/CD Pipelines

Cloud & Infrastructure

AWS • GCP


🔬 Currently Exploring

  • Agentic AI systems
  • Multi-modal learning architectures
  • Efficient fine-tuning techniques (LoRA, PEFT)
  • Scalable inference optimization

🧩 Engineering Philosophy

I focus on building AI systems that:

  • Move beyond notebooks into production
  • Are modular, scalable, and reproducible
  • Solve real-world problems with measurable outcomes
  • Prioritize clarity, efficiency, and maintainability

AI should not just be intelligent — it should be deployable.


📈 What I’m Looking For

I’m open to:

  • AI research collaborations
  • ML engineering roles
  • High-impact AI startups
  • System-focused AI development opportunities

🤝 Let’s Connect

If you're building intelligent systems or working on impactful AI problems,
I'd love to collaborate.

📫 Email: shivrajpatare.work@gmail.com
💼 LinkedIn: www.linkedin.com/in/shivrajpatare 🌐 Portfolio: https://shivrajpatare-cli.vercel.app/


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  1. clean-report-ai clean-report-ai Public

    AI-powered civic issue reporting platform that turns street photos into real-time municipal action.

    TypeScript 1 1

  2. IngreScan-AI IngreScan-AI Public

    AI-powered food ingredient analyzer supporting Label Padhega India 🇮🇳. Scan packaged food labels, get personalized health risk scores based on WHO/FSSAI data, detect misleading claims, and discover…

    TypeScript

  3. Kaizuna-App Kaizuna-App Public

    Kaizuna - A lightweight, student-friendly app to store and instantly copy your GitHub, LinkedIn, and other user handles. Designed for job seekers who want to save time during applications. Simple, …

    CSS

  4. Atharvak29/CareerCrafter Atharvak29/CareerCrafter Public

    Created for Google GenAI hackathon

    TypeScript 3