I am a Machine Learning Practitioner, deeply invested in building predictive frameworks, ensemble models, and intent classification systems.
Currently, I serve as the Chapter Lead of the Microsoft Student Ambassadors (MSA), GNIT Chapter, where I have scaled the technical community to over 800+ members (220% growth). I am passionate about leveraging data science, agentic AI, and cloud ecosystems to solve complex, real-world problems.
- 🔭 I’m currently working on: Predictive frameworks, GenAI architectures, and intent classification models.
- 👯 I’m looking to collaborate on: Open Source ML/AI projects, NLP research, and LLM integrations.
- 💬 Ask me about: Machine Learning (LightGBM, Logistic Regression), Data Science, Azure, and Microsoft Fabric.
- 🔍 Know more about my LIVE projects:
| Project | Description | Tech Stack |
|---|---|---|
| Empathetic Buddy | Clinical AI architecture acting as an emotional support system. Finalist (Top 15) at the OpenAImer 2026 GenAI Hackathon. | Llama 3.1 8B ChromaDB |
| UIDAI (Aadhaar Framework) | Lifecycle-Aware Aadhaar Intelligence Framework analyzing enrollment and biometric update trends across 760+ districts for the UIDAI Datathon 2026. | Data Science Pandas |
| iRage-AlgoArena | ML pipeline for the iRage Quant Finance Challenge to predict short-horizon market returns. Extracted alpha using row-wise feature engineering and memory-optimized ensemble models on anonymized tabular data. | LightGBM Pandas |
