π± Building Full-Stack Applications β’ π‘ AI Systems & Search Technologies β’ π€ Open Source Contributor
- πΌ Software Developer passionate about building scalable and user-focused applications
- π€ Exploring Generative AI, LLMs, RAG Pipelines, and AI Voice Agents
- π Apache Lucene.NET Committer working on search, indexing, and performance improvements
- π Building modern applications using Angular, React, ASP.NET Core, and Python
- π Currently learning production-grade AI architecture and distributed systems
- π€ Love contributing to Open Source and solving real-world engineering problems
π« Email: pathannehan28@gmail.com
π Portfolio: https://nehan-portfolio.netlify.app
- π Apache Lucene.NET Committer
- π Google Summer of Code 2025 Contributor
- π Contributed to Apache Lucene.NET with search, replication, and performance improvements
- π± Successfully completed Hacktoberfest 2024
- π Building production-ready AI applications using modern LLM technologies
An AI-powered full-stack application that transforms uploaded photos into cinematic memory cards and digital keepsakes.
Highlights:
- πΈ Multi-photo upload with real-time progress tracking
- π¬ AI-generated cinematic memory cards using OpenAI GPT-4o
- π¨ Multiple storytelling themes (Nostalgic, Travel, Family)
- β‘ Real-time streaming updates with Server-Sent Events
- π± Responsive React UI with dark mode
- π Production-ready architecture with FastAPI & PostgreSQL
Tech Stack: React 19, TypeScript, FastAPI, OpenAI GPT-4o, PostgreSQL, ImageKit, Tailwind CSS
Repository: https://github.com/NehanPathan/MemoraAi
An enterprise-grade Retrieval-Augmented Generation (RAG) platform designed for scalable, production-ready AI applications.
Highlights:
- π Hybrid Search (Vector + BM25)
- βοΈ Reciprocal Rank Fusion (RRF) & Intelligent Reranking
- π§ Semantic Caching & Context Compression
- π Citation Tracking & Streaming Responses
- ποΈ Clean Architecture with Domain-Driven Design (DDD)
- π Optimized for large-scale document retrieval
Repository: https://github.com/NehanPathan/RAG-Pipeline-Production-Level-
Apache Lucene.NET Committer contributing to one of the world's leading search libraries by improving performance and search capabilities.
Highlights:
- π Search Performance Optimizations
- π Smart Chinese Analyzer (SmartCN) Improvements
- β‘ Dictionary Loading Enhancements
- π Replication Framework Contributions
- π ASP.NET Core Integration
- β Unit Testing & Performance Improvements
Repositories:
Working with
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Vector Databases
- Prompt Engineering
- Semantic Search
- AI Automation
πΌ LinkedIn
https://linkedin.com/in/Nehan-Khan-Pathan
π Portfolio
https://nehan-portfolio.netlify.app
π Holopin
https://holopin.me/nehanpathan
β Building software that combines Search, AI, and Open Source to solve real-world problems.

