AI/ML developer with proven expertise in building production-ready LLM applications, RAG systems, and intelligent automation workflows.
- 🎓 Education: Pursuing B.Tech Computer Science & Engineering (AI) — IIMT College of Engineering (Expected 2027)
- 💼 Experience: Applied AI Intern at 1M1B Green Skill
- 🏆 Achievements: Developed 6+ end-to-end AI applications, integrated 10+ APIs in production, and am a LeetCode Hard-level competitive programmer.
- 🌱 Currently Building: Autonomous Agentic workflows and highly scalable backend architectures.
- Multi-agent orchestration frameworks (CrewAI, AutoGen, LangGraph)
- Advanced RAG techniques — hybrid search, re-ranking, agentic RAG
- Scaling n8n workflows into production-grade backend services
| Languages |
|
| AI / LLMs |
|
| Backend & Automation |
|
| Data |
|
Tech:
PythonFastAPIAgentic AIPostgreSQL
- Automated end-to-end hospital appointment scheduling and patient intake using autonomous agentic workflows.
- Reduced no-shows, optimized overall hospital operations, and achieved 99% system uptime.
Tech:
PythonMachine LearningAgentic AI
- An agentic AI system designed to monitor, predict, and mitigate stubble burning events through satellite data analysis and automated alerting workflows.
Tech:
n8nGemini APIFastAPIGoogle SheetsGmail API
- Designed a multi-role hiring platform with role-specific evaluation rubrics dynamically applied via Gemini.
- Engineered weighted, multi-criteria resume scoring with Auto-Accept/Human Review/Auto-Reject routing.
Tech:
PythonLangChainGroq APIFastAPIFAISS
- Context-aware Q&A on PDF documents with <100ms response latency using Groq's ultra-fast LLM inference.
- Implemented semantic search via vector embeddings + FAISS indexing with a production-grade FastAPI backend.
Tech:
PythonGroq APIn8nGmail API
- Built a high-performance agentic AI system achieving <100ms response time with multi-step autonomous decision-making.
- Created an AI email assistant automating 70% of email drafting while maintaining brand voice.
- AI-Powered Recruitment Platform — project breakdown — LinkedIn post walking through the multi-role hiring rubric and routing logic
