I'm a Developer and AI Engineering enthusiast who enjoys building real-world systems and contributing to open-source projects.

I work across AI/LLM applications, backend systems, full-stack development, and desktop/mobile applications. I especially enjoy understanding how systems work under the hood and turning ideas into working products.

• 🤖 AI Engineering: Building RAG systems, LLM-powered applications, AI agents, and local-first AI tools.
• 🔎 RAG & Search: Working with embeddings, vector databases, semantic search, retrieval pipelines, and document processing.
• ⚙️ Backend & Systems: Building APIs, distributed ingestion pipelines, and backend services using Python and Node.js.
• 🌐 Full Stack: Building applications with React, TypeScript, FastAPI, and modern JavaScript tooling.
• 📱 Mobile & Desktop: Exploring Flutter and Electron for cross-platform applications.
• 🌱 Open Source: Contributing to open-source projects and working on features, testing, tooling, and cross-platform compatibility.

A privacy-focused, offline-first Retrieval-Augmented Generation system for searching and asking questions about personal documents.

• Built document ingestion, chunking, embedding, retrieval, and generation pipelines.
• Uses vector search for semantic document retrieval.
• Designed to run locally without sending private documents to external services.
• Explored local LLM inference and fallback model architectures.

A distributed document ingestion and processing pipeline designed around event-driven architecture.

• Built a Kafka-based topic architecture for document processing.
• Designed services for ingestion, transformation, and indexing.
• Implemented internal APIs for batch ingestion workflows.
• Focused on scalable and modular document processing.

Contributed to Rein, an open-source Electron-based remote desktop application that allows phones to control computers.

• Built a proof of concept that was used in the project and is actively used by the application.
• Worked on the Electron desktop application and cross-platform compatibility.
• Developed native desktop integration modules using C++ FFI.
• Worked on secure mouse and keyboard event injection.

I actively contribute to open-source projects and enjoy working on projects where I can understand an existing codebase, identify problems, work with skilled and cool people, and build practical solutions.

• 60+ merged PRs across open-source projects.
• Major focus on unit testing and improving test coverage in Fabric-Smart-Client.
• Worked on features, bug fixes, cross-platform compatibility, and developer tooling.
• Collaborated with maintainers and contributors from projects involving organizations such as Hyperledger and AOSSIE.

• Email: yshashank959@gmail.com
• LinkedIn: Shashank Yadav
• X: @ROZERRIZZ

"The best way to learn is by doing."