Software Developer Intern at Infogenx (2025-08 – 2025-11)
- Built an AI-assisted LinkedIn scraping pipeline using Python (BeautifulSoup, Selenium) targeting 500+ prospects per run, reducing manual lead generation effort by 80% and saving ~10 hours of work per week.
- Developed an intelligent email outreach automation agent integrating Bitrix24 CRM with Mailjet API, enabling personalised AI-driven bulk campaigns across 3 pipeline stages and cutting campaign setup time by 60%.
- Built a Python-based AI content automation tool that parsed PDFs and auto-published 20+ structured blog articles to the company website, reducing per-article upload time by 70%.
Research Intern at National Institute of Technology, Tiruchirappalli (2024-06 – 2024-08)
- Built an AI-based emotion recognition pipeline on 1M+ physiological samples (BVP & GSR sensors) using Pandas; trained a Random Forest classifier with SMOTE oversampling, achieving 93.1% valence classification accuracy.
- Designed a CNN-BiLSTM deep learning model for continuous valence/arousal prediction using sliding time windows and Bidirectional LSTM with dropout (validation loss: 0.0065); performed feature engineering and noise filtering across 4 multimodal signal types, improving training stability by ~30%.
Web Developer Intern at CodeBind Technologies (2023-07 – 2023-08)
- Designed and deployed a fully responsive restaurant website with 5+ interactive sections (menu, reservations, gallery, location) using HTML5, CSS3, and JavaScript, delivered within a 4-week timeline.
- Optimised UI across 3 device breakpoints (mobile, tablet, desktop), reducing layout issues and improving estimated page load speed by ~25%.
