The timeline.
Building agentic AI systems for clients — RAG assistants, WhatsApp agents, automation.
Shipped 10+ agentic systems including AgriSahayak, Academic RAG, Multi-Modal WhatsApp Agent. 372+ reactions on a single post.
BS Data Science. Coursework in statistics, ML, databases, and software engineering. Active in research projects.
Education, hackathons, and shipped systems in one path.
This is the narrative version of the resume: how fundamentals turned into AI systems, public proof, and product-minded automation work.
Built the software foundation
C++, OOP, data structures, Python notebooks, and disciplined project structure.
Moved into AI systems
RAG pipelines, WhatsApp agents, Streamlit apps, n8n automations, and agent routing.
Turned projects into proof
Hackathons, public writeups, data-backed findings, and portfolio-level product thinking.
Building personal AI infrastructure
Zorox, Personal AI Employee, MCP-style tooling, observability, and safe automation loops.
BS Data Science
- Agentic AI Level 1 DeveloperPIAIC · ID: 20260502245982026
- Model Context Protocol Level 2 DeveloperPIAIC · ID: 20260402245982026
- Agentic AI Professional Level 2 DeveloperPIAIC · ID: 20260302245982026
- Agentic AI Level 1 DeveloperPIAIC · ID: 20260102245982026
- Model Context Protocol: Advanced TopicsAnthropic · ID: gpgmvk35x28k2025
- Introduction to Model Context ProtocolAnthropic · ID: pyayecqxypkc2025