Open to opportunities

Kruthika User

@kruthikauser

Message

I build production-ready AI, LLM, and MLOps systems for real-world automation.

India

Message

What I'm looking for

I'm looking to build production AI, LLM, NLP, and MLOps systems where I can improve automation, deploy reliable models, and grow through hands-on work with real-world data and products.

I've built NLP-powered analytics and campaign automation at Second Brain Labs, using Flask, FastAPI, MongoDB, Docker, AWS, REST APIs, and NLP to support LinkedIn and WhatsApp campaigns for hundreds of marketing clients. I also optimized text preprocessing, feature engineering, and model evaluation for reliable real-time analytics.

At Node Media, I developed an LLM-powered content-generation platform and a RAG microservice using PostgreSQL and ChromaDB for brand-specific SEO context. My projects include invoice automation, vehicle insurance intent prediction, and credit-card fraud detection systems using LLMs, FastAPI, AWS, MLflow, DVC, Docker, and CI/CD.

Experience

Work history, roles, and key accomplishments

ML Intern

Second Brain Labs

Jun 2025 - Nov 2025 (5 months)

Engineered and deployed an end-to-end, NLP-powered Feedback Analytics Platform for Second Brain Labs, leveraging Python (Flask, FastAPI), MongoDB, and Docker to automate sentiment analysis and user response classification across LinkedIn and WhatsApp campaigns. Optimized text preprocessing, feature engineering, and model evaluation pipelines for high-throughput, real-time analytics.

Python Flask fastAPI MongoDB Docker Git REST APIs NLP scikit learn Pandas Sentiment Analysis Feature Engineering Model Evaluation AWS Lambda Microservices CI CD

ML Intern

Node Media

Jun 2024 - Dec 2024 (6 months)

Architected a scalable, LLM-powered Content Generation Platform for automated website copy, blog, and digital marketing asset production across clients. Designed and launched a high-throughput Retrieval-Augmented Generation (RAG) microservice, integrating PostgreSQL and ChromaDB for dynamic, brand-specific SEO context injection in large language model prompts.