About Me
Computer Engineering graduate (B.E., 2025) with hands-on experience designing and deploying end-to-end Machine Learning, Deep Learning, and Generative AI applications. Built production-deployed projects including a RAG-b…
Computer Engineering graduate (B.E., 2025) with hands-on experience designing and deploying end-to-end Machine Learning, Deep Learning, and Generative AI applications. Built production-deployed projects including a RAG-based LLM document assistant, a CNN medical image classifier, and an analytics dashboard processing 2.8M+ records. Immediate joiner.
Experience
AI ML intern
<ul><li>Building the Intelligent Navigation Module for Path Guard, an AI-powered assistive wearable, as one of four engineers each owning a production-ready AI module for the integrated application.</li><li>Designing a navigation intelligence layer in Python that fuses object detection results, obstacle distance, and GPS data to generate safe walking instructions and route guidance.</li><li>Developing decision logic that determines the safest walking direction and performs dynamic obstacle avoidance, extending beyond raw object detection into active path-planning.</li></ul><p></p>
Application Development Intern
<p>Engineered a Python web-scraping pipeline (Requests, BeautifulSoup) to automate content extraction from 100+ web sources, eliminating manual data gathering and cutting data collection time significantly.</p><p> Surfaced sentiment and readability insights by implementing dictionary-based analysis — Polarity, Subjectivity, and Fog Index scoring — and exporting results as client-ready Excel reports.</p><p> Contributed to application development, debugging, and testing across the development cycle, supporting feature updates under senior developer mentorship.</p><p> Restored application stability by resolving client-reported production bugs within deadlines.</p>