Kartik Rathi

About Kartik Rathi

Building production-first AI systems, not just demos.I\'m an AI Engineer focused on taking large language models and RAG workflows from notebooks into real products. I enjoy owning the full lifecycle: scoping the problem, designing the system, building the pipelines, deploying to cloud, and measuring latency, cost, and quality.Over the last few roles, I\'ve- Built RAG-based assistants using LangChain + vector databases like Qdrant- Fine-tuned and optimized LLMs with tools like Unsloth, quantization, and efficient serving- Shipped FastAPI services to Google Cloud Run with proper logging, monitoring, and error handling- Worked on agentic systems that coordinate multiple LLM-powered agents for complex workflows.Areas I work in- LLM applications (chatbots, copilots, internal tools)- Retrieval-Augmented Generation (RAG) architectures- Agentic AI (CrewAI, LangGraph, custom agents)- Backend APIs (FastAPI, async IO, microservices)- Cloud deployment (GCP, Docker, basic Kubernetes)Background- B.Tech in Computer Science Engineering (AI/ML specialization) from K.R. Mangalam University- Research internship at IIT Mandi working on LLM fine-tuning and NLP- Software development and AI/ML trainee experience building real products- Published AI/ML research papers.What I\'m looking for- AI/LLM/Backend roles at product companies and startups- Freelance / contract work building RAG systems, agentic workflows, and AI backends. If you\'re building something interesting in LLMs, RAG, or agents, happy to talk about architecture, trade-offs, and how to get something working in production quickly.

Experience

1. Software Engineer

   Global Payments Inc.

   Feb 2026 — Present · Pune, IN

Education

• GHPS School(Guru Harkrishan Public School)

  CBSE GRADE -12

• K.R. Mangalam University

  B.Tech - CSE

  2021 — 2025

• GHPS School(Guru Harkrishan Public School)

  CBSE GRADE - 10