01 / About
About Me
I'm obsessed with making machines learn — and making sure what they learn is actually useful.
Hey! I'm Taaran, an AI Engineer passionate about building systems at the intersection of large language models, deep learning, and real-world applications.
I work across the full ML lifecycle — from exploratory data analysis and model research to serving models at scale in production. My current focus is on LLM-powered applications: retrieval-augmented generation (RAG), agentic AI, and multimodal systems.
When I'm not training models or writing code, I'm reading the latest papers on arXiv, contributing to open-source AI tools, or experimenting with new architectures.
2+
Years in AI/ML
5+
Projects Deployed
2+
Papers Published
10+
GitHub Repositories
LLM Engineering
Building RAG pipelines, fine-tuning transformers, and deploying production-grade LLM applications.
Data Science
End-to-end ML pipelines — from raw data ingestion and feature engineering to model evaluation.
MLOps & Deployment
Taking models from notebook to production with robust CI/CD, monitoring, and scalability.
Research-Driven
Staying close to SOTA research and translating cutting-edge ideas into practical systems.