I'm a pre-final year BTech (ECE) student at NIT Nagaland, driven by a deep curiosity for emerging technologies. My fascination with computers began back in school when I first encountered a basic programming class, where I was amazed by how lines of code could bring ideas to life. Today, I’m diving into AI Agents, LLM integrations, and Data Science, and I’m excited to explore new opportunities to grow in the Data Science field.

• Love experimenting with AI agents, LLMs, and real-time systems — feels like bringing ideas to life.
• Enjoy digging into data to find patterns and build smart, useful stuff.
• Outside tech, I’m into long walks, vibing with friends, sparking spontaneous tech chats, playing cricket, unwinding with music, and exploring curious thoughts.

• 🚀 I'm a curious mind at the intersection of Data Science, AI Agents, and LLM-Oriented Architectures
• 🧠 Currently exploring how Model Context Protocol (MCP) and context-aware systems shape intelligent workflows
• 🤖 I build projects that blend Machine Learning, autonomous agents, and real-time decision pipelines
• 🤝 Always up for collaborations that push the edge of predictive analytics and agent-driven automation
• 📫 How to reach me [email protected]
• ⚡ Fun Fact: I get oddly excited when agents start behaving like tiny problem-solvers — especially if they’re streamlining healthcare or fixing broken data workflows at 2 AM.

🧠 What I’m Exploring

• 🤖 Autonomous agents + real-time decision pipelines
• 🧩 Model Context Protocol (MCP) and LLM-driven systems
• 🏥 AI solutions for healthcare and data infrastructure
• 🔄 Building scalable MLops pipelines with FastAPI, Kafka & Spark

🧠 🌍 Open Source & Community

• Contributing to open-source tools like BrainDecode and MNE-Python, improving neuroscience/data science workflows
• Building and sharing advanced solutions around context-aware agents, MLOps systems, and LLM tooling
• Passionate about reproducible pipelines, interactive tutorials, and accessible tooling for real-world problems

🛠️ Things I use on daily basis:

• 🤖 MCP-EdTech-Agent – Built with Groq API + LLaMA + Tool Schemas + Installation-Aware Context Agents
  
  Context-aware educational assistant that dynamically reasons with 3 integrated APIs and custom tools

• 🏥 Multi-Disease Detection System – VGG16-based real-time image classifier for medical diagnosis
  
  Includes multi-model fusion for disease prediction across varied conditions

• 🔍 Real-Time Fraud Detection System – Kafka + Spark Streaming + MongoDB + FastAPI + Prometheus/Grafana
  
  End-to-end detection pipeline with real-time analytics and containerized microservices

👉 Explore more in my pinned repositories above or reach out for code walkthroughs!