An aspiring software engineer passionate about building intelligent systems, from AI-powered resume agents to low-level caching systems. I enjoy solving real-world problems using C++, Python, and deep learning frameworks.
Currently pursuing opportunities to contribute to impactful open-source and applied AI research.

• ModelForge
  A low-code AI framework for building and deploying customizable Transformer/RNN-based pipelines using YAML configuration files.
  ➤ Features auto-preprocessing, model switching, and experiment logging.

• Resume Optimization Agents
  Multi-agent system using LLMs for ATS-friendly resume generation.
  ➤ Includes iterative refinement between agents, semantic filtering, and optimized token usage.

• ⚙️ Cachify
  Redis-inspired in-memory key-value store built in C++.
  ➤ Supports multithreaded access, TTL-based key expiration, and a custom TCP client-server interface.
  ➤ Optimized for low-latency querying and mutation using efficient data structures.

• 🎶 Intelligent Chord Progression Analyzer
  A music theory-aware tool to detect and label chord progressions in audio.
  ➤ Uses machine learning and signal processing.
  ➤ Currently building real-time detection, feature extraction, and VST plugin compatibility.

Languages:

Frameworks & Platforms:

Currently focusing on fewer high-impact projects over quantity.