{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"AI Intern","company":"Exovance Global","location":"","range":"November 2025 - Present","url":""},"html":"\n- Developed AI-powered document intelligence solutions for the Loan Intel platform.
\n- Built document processing pipelines using AWS Textract for automated PDF text extraction.
\n- Designed prompt engineering workflows to improve the accuracy and consistency of LLM-generated outputs.
\n- Worked on income analysis automation and structured data extraction from financial documents.
\n- Collaborated on production-ready AI solutions using Python, AWS, and Large Language Models.
\n
"}},{"node":{"frontmatter":{"title":"AI/ML Intern","company":"Lyrcon Solutions","location":"","range":"May 2025 - August 2025","url":""},"html":"\n- Built extractive and abstractive text summarization models using BART and mBART.
\n- Preprocessed and analyzed large-scale datasets for NLP model training.
\n- Evaluated model performance using industry-standard NLP metrics.
\n- Developed an interactive Streamlit application for real-time text summarization.
\n- Conducted experiments in Google Colab to optimize model accuracy and inference speed.
\n
"}},{"node":{"frontmatter":{"title":"Data Science Intern","company":"Tech Elecon","location":"","range":"May 2024 - June 2024","url":""},"html":"\n- Performed data cleaning, preprocessing, and exploratory data analysis on business datasets.
\n- Built predictive machine learning models using Python.
\n- Created dashboards and visualizations to communicate analytical insights.
\n- Assisted in delivering data-driven solutions to support business decision-making.
\n- Worked with Python data science libraries for analysis and model development.
\n
"}}]}}}