Ramya M

Leveraging AI-first development tools to rapidly prototype and build production-ready front-end interfaces. Implemented full-stack features including authentication and real-time database integration.

Completed intensive training on web development fundamentals and Python scripting. Refactored a legacy single-page application into a responsive restaurant theme using CSS Grid and DOM manipulation.

Dedicated period of intensive preparation for India's National Civil Services (UPSC) and Banking Sector examinations. Developed high-level logical reasoning, quantitative aptitude, and data interpretation skills.

Analyzed and indexed 20+ hours of high-definition sports video content weekly for a US-based client base. Identified and tagged critical game events with 99% accuracy to support performance analytics.

Focused training on LLM Engineering, RAG, QLoRA, and Agent Development as part of the AI Engineer Core Track.

Comprehensive study covering Agentic AI, Generative AI, and Reinforcement Learning concepts.

Core Python and Automation training including 100 Days of Code and Selenium WebDriver with Java.

Grade: 72%

Activities and societies: Key academic project: Content-Based Image Retrieval System using Gaussian Mixture Model (GMM) with MATLAB.

Pursued a Bachelor of Engineering in Information Science and Engineering, achieving an aggregate of 72% with First Class with Distinction.