💻 Computer Engineering Student | Backend & AI Developer

🚀 Interested in AI, Backend Systems, and Cloud Computing
⚡ I enjoy building tools, automation systems, and data-driven applications
📚 Currently exploring Go, Python, Distributed Systems, and Cloud Infrastructure

Python, FastAPI, LangChain, ChromaDB, SQLite, TortoiseORM, Gemini

• Built an LLM-powered code review and repository analysis system for querying large codebases.
• Implemented a concurrent indexing and embedding pipeline with Chroma, achieving up to 40× faster processing.
• Designed a RAG-based architecture enabling semantic search and conversational interaction over repositories.
• Implemented session-based chats with per-session memory to preserve context across repository analysis conversations.

Go, WAL, Concurrency, File I/O, CLI Tools

• Built a persistent key-value database with Write-Ahead Logging (WAL) and snapshot-based crash recovery.
• Implemented namespace-based data isolation with in-memory indexing and durable on-disk storage.
• Designed concurrent-safe read/write paths using mutexes and background WAL processing.
• Developed a Go SDK enabling programmatic interaction with the database server for integration into external services.

Go, Python, AES-256, AWS EC2

• Designed a Git-inspired backup and versioning system enabling snapshot-based state tracking of files and directories.
• Implemented efficient version storage using content hashing and metadata tracking inside a dedicated .vilo directory.
• Built rollback and recovery mechanisms to restore previous versions reliably after data corruption or accidental deletion.
• Optimized parallel AES-256 encryption, reducing file encryption time from 900ms to 400ms (~2× faster).

• LinkedIn