AI & Data Science student at Kumaraguru College of Technology (2024-2028), building agentic AI systems, RAG pipelines, and ML-driven apps. Core member of the AI Developers team at IQube.
| Languages | Python, C++ |
| AI / ML | Machine learning,Deep learning, LangChain, LangGraph, RAG, HuggingFace Transformers, Sentence-Transformers, Scikit-learn |
| Backend | Flask, FastAPI, PostgreSQL, SQLite |
| Frontend | React, Javascript |
| Tools | Linux, Git, Docker |
| CS-Fundamentals | DBMS , Computer Networking , OOPS |
Core Member, AI Developers · IQube Innovation Center · July 2024 - Present
- Work with a team on agentic AI systems and ML-driven projects, including LLM-based agents, retrieval pipelines, and applied machine learning
- Take part in hackathons and technical projects with the team
ContextIQ Hybrid RAG Production-ready RAG chatbot with hybrid search, cross-encoder reranking, MongoDB Atlas vector storage, and Groq streaming.
Multilingual Business Entity Resolution Multilingual entity resolution and record-linkage pipeline for the Amazon ML Challenge. 0.968 Macro F0.5 on the public leaderboard (rank under 2,000 of 36,000 teams).
Touch the Grass Voice-first, screen-minimizing AI nature companion using Gemma 2 (Ollama), ElevenLabs real-time speech, and FastAPI.
Predictive Aviation Analytics Analysis of 1.7M US flight records to find the root causes of delays.
LinkedIn: www.linkedin.com/in/karthick-n-18909332a
Email: nkarthick564@gmail.com