Mordheesh B

Architected a zero-trust, enterprise-grade cloud auditing platform using FastAPI, Next.js, PostgreSQL, and AWS to perform real-time security compliance audits across multi-tenant cloud environments. Engineered credential-free cross-account access via AWS STS AssumeRole and Boto3, generating AI compliance reports mapped across 7 global frameworks.

Developed a modular AI workspace combining Vue.js 3 (Pinia, Vite) and a FastAPI microservice backend to unify AI Chat, Job Analytics, and Document Intelligence. Built an Advanced Agentic RAG pipeline leveraging LangChain, LangGraph, ChromaDB, and Google Gemini API, increasing context-retrieval accuracy for enterprise document synthesis and Gmail workflows.

Built a serverless machine learning platform on AWS to parse unstructured resume data and output automated job-fit predictions. Implemented RESTful microservices using AWS Lambda and API Gateway, enforcing strict zero-trust security policies via AWS IAM and managing document ingestion pipelines via Amazon S3.

Developed a predictive analytics platform forecasting academic outcomes based on historical attendance, assignment metrics, and study patterns. Applied supervised classification and regression algorithms via Scikit-Learn, handling data preprocessing, feature scaling, and visualization using Pandas, NumPy, and Matplotlib.

Pursuing a Bachelor of Technology in Artificial Intelligence & Data Science.