NEURAL-SYNC AI RAG ENGINE
An enterprise-grade Retrieval-Augmented Generation (RAG) platform powered by vector search embeddings and LLMs for real-time document context querying.
IT Engineering student engineering high-throughput software, production AI models, RAG vector retrieval pipelines, and clean technical systems.

Delivering production-grade software architectures, AI search pipelines, and crisp engineering command interfaces.
Software Engineer & AI Builder specializing in production full-stack architecture, autonomous AI search systems, and high-performance engineering interfaces.
My engineering philosophy combines mathematical precision, robust code structure, and zero unnecessary visual clutter. Designed with high-contrast telemetry optics inspired by technical command HUDs.
COORDS: 18.5204° N, 73.8567° E
Algorithms, Web Systems & AI
C++ • JavaScript (ES6+) • Python • Java • SQL • HTML5/CSS3
React.js • Next.js • Node.js • Express.js • TailwindCSS • Framer Motion
MongoDB • PostgreSQL • Redis • Pinecone Vector DB
PyTorch • Scikit-Learn • LangChain • OpenAI/Gemini APIs • RAG Pipelines
AWS (EC2, S3) • Docker • Git & GitHub Actions • Postman • Linux

An enterprise-grade Retrieval-Augmented Generation (RAG) platform powered by vector search embeddings and LLMs for real-time document context querying.
A comprehensive doctor appointment scheduling system with admin analytics, doctor schedule management, patient dashboard, and automated booking notifications.

Predictive analytics platform utilizing ML regression models to forecast Electric Vehicle battery State-of-Health (SoH) and real-time range degradation.
Automated GitHub pull request reviewer using LLM AST parsing to identify security vulnerabilities, style infractions, and performance bottlenecks in codebases.
EXPLORE COMPLETE REPOSITORY ARCHIVE ON GITHUB
OPEN GITHUB ARCHIVESYS_ROLE // LEAD AI SOFTWARE ENGINEER
Engineered high-speed vector retrieval system achieving under 50ms query latency using Python, LangChain, and Pinecone vector index.
SYS_ROLE // FULL STACK ENGINEER
Designed and deployed scalable doctor booking dashboard with JWT authentication, MongoDB schemas, and admin analytics.
SYS_ROLE // TEAM LEAD / SYSTEM ARCHITECT
Recognized for building automated AI documentation parsing agent using LLM APIs under 36-hour sprint constraints.
SYS_ROLE // IT ENGINEERING SCHOLAR
Maintained top academic standing with emphasis on Data Structures, Algorithms, Operating Systems, and Web Microservices.
“Arjun possesses a rare combination of strong algorithmic thinking and modern visual aesthetic. His full-stack engineering work on complex database platforms is clean, reliable, and exceptionally well executed.”
“Working with Arjun on our AI RAG pipeline was seamless. He delivers clean code, structured APIs, and pays close attention to user experience details that elevate the entire project.”
Transmit direct engineering project inquiries, Summer 2026 internship roles, or technical collaboration requests.