Likhil Gowda

AI & ML Engineer specializing in Large Language Models (LLMs), Generative AI, and applied machine learning, with hands-on experience building RAG pipelines, AI agents, and deep learning systems using TensorFlow, PyTorch, and Hugging Face Transformers. Completed 3 internships delivering CNN-based computer vision models and classification pipelines, improving prediction accuracy by 15% and reaching 94% accuracy on a medical imaging task. Experienced integrating LLM APIs such as OpenAI and Anthropic Claude using LangChain, vector databases, prompt engineering, and workflow automation tools including n8n.

Placed 2nd in the AI Agent Builders Award, 2nd in the AMD Slingshot Promptathon, and Top 50 in the Lyzr Agentathon.

AI/ML Intern - EduSkills Foundation

(2025-10 - 2025-12)

• Fine-tuned ML models (decision trees, SVMs, neural networks) and designed automated AI evaluation pipelines using TensorFlow, PyTorch, Streamlit, and Gradio.

Data Science Intern - HexSoftwares

(2025-12 - 2026-01)

• Performed EDA and feature engineering on real-world datasets; built and evaluated classification and regression models, improving prediction accuracy by 15% through systematic feature selection and hyperparameter tuning.

AI/ML Intern - InternPe

(2025-04 - 2025-05)

• Built and evaluated machine learning models for applied AI use cases, covering data preprocessing, model training, and performance evaluation.

Bachelor of Engineering - Computer Science Engineering (Data Science) - AMC Engineering College, Bengaluru (2023 - 2027)