Himesh Raj

Backend Flow

RAG Pipeline

Reducing manual code review time while maintaining strict data privacy.

Decoupled client-server system using AST-based static analysis and privacy-first local LLM integration.

• JavaParser
• Ollama LLM
• JavaFX

Reduced manual code review time by ~40% and processed files 3x faster than cloud-based API solutions without data egress.

Optimizing querying and storage for raw NetCDF datasets for scientific analysis.

Hybrid architecture with SQLite indexing for geospatial lookups and an ETL pipeline converting datasets into partitioned Parquet files.

• SQLite
• ChromaDB
• RAG

Achieved 10-100x faster query performance and reduced storage footprint by 60-80% via ChromaDB compression.

Managing high-load media streaming with minimal client-side buffering latency.

Resilient media server utilizing Non-blocking I/O and automated metadata extraction.

• Java NIO
• FFmpeg
• HTTP Byte-Range

Handled 500+ concurrent sessions with constant memory footprint and reduced client buffering latency by 35%.

Providing secure, privacy-compliant data collaboration for the Indian market.

A privacy-focused data clean room designed to allow organizations to analyze shared datasets without exposing underlying PII.

• Spring Boot
• Distributed Systems
• Privacy-Preserving Tech

Ongoing development for a highly secure, localized data aggregation platform.

GitHub: Pending