Former President at Startup Cell, NIT KKR • Deep Learning & Full-Stack Engineer
💡 Core focus: Bridging the gap between robust software architecture and state-of-the-art AI.
🚀 Leadership: Led entrepreneurial execution as former President of the college Startup Cell.
📈 Metrics: Engineering high-impact models, including deep learning classifiers with 94.77% parsing accuracy.
| Domain | Technologies & Frameworks |
|---|---|
| Artificial Intelligence & Data | Python PyTorch Deep Learning RAG Pipelines Data Analysis SQL |
| Full-Stack Development | JavaScript React.js Next.js Node.js Express.js MongoDB |
| Core Software & Systems | C++ C Java Kotlin Android Studio Bash Arduino |
| DevOps & Workflow | Git GitHub Actions VS Code Linux Environments |
- RAG-based Q&A Pipeline: Architected an optimized text-retrieval pipeline for context-aware language model inferences.
- Audio Signal Processing: Engineered a Music Genre Classification framework deploying deep neural network topologies.
- Phishing URL Detection: Designed a security ecosystem utilizing ML models trained to cross-analyze malicious string telemetry.
- MERN Ecosystems: Built dynamic full-stack infrastructures including an enterprise-ready School Management platform.
- Native Mobile: Leveraging Kotlin and Android Studio to write lightweight, performance-tuned mobile architectures.
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Let's build something scalable. Drop a line on LinkedIn or fork a repo to collaborate. 🚀