As a driven Machine Learning Engineer with strong foundations in applied ML and growing expertise in LLMs, I focus on building AI systems that are not only intelligent — but also usable, ethical, and scalable.
Over the past year, I've worked hands-on with large language models, prompt engineering strategies, and Retrieval-Augmented Generation (RAG) pipelines, turning real business problems into AI-powered solutions. My experience spans the full machine learning lifecycle — from data preprocessing and model development to deploying LLMs in both cloud and local environments.
I thrive on solving practical problems, blending structured machine learning with generative AI to create tools that make a real-world difference. Whether it’s designing an ML model, engineering a complex prompt, or debugging a deployment pipeline, I approach challenges with curiosity, structure, and a user-focused mindset.
Currently deepening my skills in:
Advanced prompt engineering (few-shot, CoT, tool use)
LLM integration workflows (LangChain, vector stores, RAG)
AI ethics, bias detection, and responsible ML design
🔍 Always learning. 🤖 Always building. 💬 Let’s connect through sudarsan27081999@gmail.com if you’re building in the AI/ML or LLM space!