Salman Faris T

I’m an AI Engineer with hands-on experience developing machine learning models, AI-powered applications, workflow automation systems, and Generative AI solutions. I focus on building end-to-end AI pipelines—from data preprocessing and feature engineering to training, evaluation, deployment, and automation.

In my Data Science Intern role at Techolas Technologies, I built preprocessing and analysis pipelines for datasets with over 5,000 student records using Python and SQL. I also performed feature engineering and exploratory analysis, then designed, trained, and evaluated ML models to identify student performance trends, supporting automated reporting and actionable business insights.

I expand my skills through open-source collaboration on projects like BookMyVenue, FoodSnap AI, and Pixel Peep, and I’ve built GenAI workflow experiences such as an agent orchestration layer (“n8n for AI agents”). My computer vision work includes a fish freshness detection app achieving 85% prediction accuracy, using CNNs with Streamlit and Hugging Face for seamless deployment.