Pre-final year student passionate about merging Rust's performance with Python's versatility. I specialize in machine learning, distributed systems, and high-performance computing.
- π¬ Exploring: Rust, Deep Neural Networks, SurrealDB
- π οΈ Building: ML pipelines, Web scrapers, Distributed systems
- π Innovating: Cross-language ML implementations
- π― Mission: Optimize ML workflows through language synergy
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πΎ Real-time Pet Classifier
- Distributed image classification system using Kafka and CNN
- Tech: TensorFlow, OpenCV, Kafka
- Features: Real-time processing, scalable architecture
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π¬ SurrealDB ML Toolkit
- Integration of SurrealDB with machine learning workflows
- Tech: Rust, Python, PyTorch, SurrealDB
- Demonstrates: Data operations, model training with SurrealDB
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π Dual Amazon Scraper
- High-performance web scraping tools for Amazon India
- Tech: Python & Rust
- Highlights: Speed optimization, large-scale data extraction
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π§ Neural Network Comparison (WIP)
- Benchmarking neural network implementations
- Tech: Rust, PyTorch, Keras
- Goal: Performance analysis across different frameworks
I'm always open to collaborating on projects and innovative ideas. Feel free to reach out!