SRIHARI RAMESH

Built a production-grade AI platform for HP that automated Jira-to-TestRail test case generation using NLP, LLMs, and intelligent requirement tracing. Developed scalable Python backend services and deployed containerized AI workflows using Docker and Kubernetes.

Architected an AI-powered knowledge retrieval platform using LangChain and FAISS, supporting 500+ monthly student interactions through semantic search. Led AI workshops and hackathons for 150+ members.

Engineered prompts for LLMs to generate production-ready Next.js applications from natural language specifications, improving code accuracy and development efficiency. Reviewed, debugged, and optimized AI-generated React/Next.js code.

Built and deployed a full-stack React.js + Flask application with REST APIs on AWS Cloud, contributing to a 25% increase in client acquisition. Managed cloud deployment, Docker containerization, DNS configuration, and Hostinger domain integration.

Developed a computer vision-based facial recognition system using deep learning techniques, reducing unauthorized access by 75%. Performed data preprocessing, feature engineering, model training, and evaluation.

Developed a C#/.NET network monitoring application within one month, enabling real-time visualization of server status and rapid identification of network outages. Designed an automated monitoring dashboard that improved infrastructure visibility.

Grade: 8.27/10.0

Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 8.27/10.0.