ML Intern (Applied Computer Vision) at Quesify — AI Research Division

Collected large-scale image datasets for insect, snake, and reptile species using crawling and open datasets. Built parallel Python pipelines to download images via CSV metadata and species identifiers. Applied data cleaning and augmentation techniques to improve dataset diversity and reduce class imbalance. Organized and versioned curated datasets in Azure Blob Storage for downstream research workflows. Documented data sourcing methods and preprocessing steps to support future model development.

AI Researcher (Applied Generative AI) at San Jose State University

Conducted applied research on prompt engineering and LLM behavior for domain-specific tasks. Built Python pipelines to evaluate prompt variants using accuracy and latency metrics. Collaborated with faculty and graduate researchers to iterate on experimental design. Documented findings and shared learnings to support future applied AI projects.

Software Engineer Intern (Banking & Analytics Platform) at LTIMindtree India

Built backend services in Python to support banking analytics and fraud monitoring dashboards. Processed transactional data to identify suspicious patterns and surface alerts to operations teams. Assisted in developing rule-based and ML-assisted fraud indicators to reduce financial risk. Automated data validation and reporting workflows for compliance and audit requirements. Participated in code reviews, unit testing, and Agile sprint delivery for banking solutions.