Anoogna Suresh Babu

At SLB AI Lab, I worked on the project “Unsupervised Document Data Understanding and Structuration using Knowledge Graphs and LLMs,” focusing on document intelligence and QA systems. •Extracted tabular data from unstructured documents and transformed it into Knowledge Graphs to support QA tasks. •Conducted human-in-the-loop evaluation of LLMs (GPT-4o, Mistral, LLaMA) on 30 QA prompts. •Improved response accuracy to 77% through iterative prompt engineering. •Explored multimodal LLMs to enable QA across both text and document images.

•Contributed to computer vision system for visual quality inspection in manufacturing. •Created classification models and labeling workflows; used Docker and Kubernetes.

•Developed an ERP-style inventory management system for defence personnel. •Designed and documented REST API endpoints and managed database connections. •Conducted load testing and defined performance metrics using JMeter and Postman.

Project: Bus Arrival Time Prediction System in Belagavi City •Developed a predictive ML/DL model to estimate bus arrival times using GPS data and historical travel patterns. •Performed exploratory data analysis (EDA), feature engineering, and data preprocessing to enhance model performance. •Experimented with multiple machine learning and deep learning models (ANN, LSTM) for training and validation. •Built a Flask-based real-time dashboard, with buses typically arriving within 0–3 minutes of predicted times during live testing.