Specializing in high-performance systems, distributed backend architecture, and autonomous AI agents.

I am a Software Engineer bridging the gap between low-level systems performance and agentic AI workflows. With nearly 2 years of production engineering experience, I build scalable infrastructure and intelligent automation tools.

• Backend Architecture: Designing loosely coupled, high-throughput systems using C# .NET and FastAPI.
• Systems Programming: Implementing raw TCP/IP protocols, socket programming, and memory management in C/C++.
• Generative AI: Architecting production-ready LLM agents using LangChain, RAG pipelines, and vector databases.

Autonomous Job Application Agent & Platform

• Architecture: Modular FastAPI backend designed for loose coupling between LLM agents and job board scrapers.
• AI Implementation: Orchestrated LangChain + GPT-4 workflows for context-aware resume tailoring and field mapping.
• Production Ready: Implemented MVP pipelines for PDF generation and automated form injection via a Chrome Extension.

Hybrid Static Analysis & LLM Verification Tool

• Innovation: Combined deterministic Regex scanning with LLM-based context verification to drastically reduce false positives in security audits.
• Agentic Workflow: Implemented LangGraph agents to recursively analyze code vulnerabilities and suggest remediation.
• Performance: Built smart caching layers to optimize API token usage and latency.

Multi-threaded TCP Server Implementation

-Systems Depth: Built a raw TCP server in C using Berkeley Sockets without high-level networking libraries. -Concurrency: Implemented I/O Multiplexing (select) to handle multiple concurrent client sessions efficiently. -Protocol Design: Engineered a custom binary message exchange protocol for real-time matchmaking.