Software developer specializing in AWS infrastructure automation and platform engineering. Passionate about DevSecOps, FinTech, and creating tools that solve real problems. Incoming Cloud Infra & Platform Engineering Summer 2026 Intern @ Lumen Technologies.
I've built production-grade cloud infrastructure through internships at Babbage Insight and IntelNeuron. At Babbage, I developed reusable OpenTofu modules, implemented GitOps workflows with Atlantis, and automated CI/CD pipelines using GitHub Actions. At IntelNeuron, I migrated AI trading algorithms to AWS EC2, reducing model backtesting time by 85% through parallel processing. I am currently building CloudSense Platform— a full-stack AWS optimization suite featuring ML-powered zombie resource prediction, right-sizing analysis, security compliance validation, and automated incident post-mortems.
Enterprise AWS Cost Intelligence & Optimization Suite
Full-stack AWS cost optimization platform consolidating four intelligent services into one unified application. Built with FastAPI backend, React TypeScript frontend, SQLAlchemy database, and scikit-learn ML models. Features real-time AWS integration across multiple regions, executive dashboards with health scores, and ML-powered predictive analytics to prevent cloud waste before it happens.
Four intelligent AWS optimization tools unified into one platform
ML-Powered Waste Detection
Detects idle AWS resources (stopped EC2, unattached EBS, idle RDS) and calculates monthly waste.
ML Enhancement: Random Forest classifier predicts which running resources will
become zombies using resource age, tagging, and instance size patterns.
CloudWatch Metrics Analysis
Analyzes 14 days of CloudWatch CPU/memory to recommend optimal instance types and calculate savings.
ML Enhancement: LSTM time series forecasting for workload prediction and
confidence scoring.
Security & Config Scanning
Scans infrastructure for security violations (open ports, unencrypted storage, missing tags) with
severity classification and resolution tracking.
ML Enhancement: Isolation Forest for anomaly detection.
Automated Incident Analysis
Analyzes CloudWatch Logs to extract errors/warnings, groups similar issues, and generates
recommendations.
AI Enhancement: Claude API for root cause analysis and executive summaries.