AI/ML Engineer, full-stack developer, and cybersecurity analyst focused on production systems, applied research, and measurable delivery.

• Portfolio: ketpatil77.github.io
• Resume: KET-RESUME-NEW.pdf
• LinkedIn: ketan-patil77
• Email: ket.patil77@gmail.com

• Production-grade AI/ML systems, full-stack web platforms, and security-oriented tooling.
• Research-backed products that move from experimentation to deployable workflows.
• Practical systems with quantified outcomes across product, networking, and cybersecurity work.

Professional portfolio system built with React, TypeScript, Vite, and motion-heavy UI patterns. Designed to present case studies, research, services, and engineering depth with production-ready frontend structure.

Interactive air-quality platform for India with city comparison, AQI storytelling, health context, forecast data, and live/fallback API handling. Built as polished public-facing product rather than plain dashboard.

Flask and PyTorch application for crop disease detection with offline-friendly workflow, Marathi-ready UX, generated reports, weather context, and farmer-oriented recommendations.

• Meta: Jr. Network Analyst Intern
• Sophos: Jr. Security Analyst Intern
• DPIIT, Government of India: Tech Support Intern

• 3 peer-reviewed publications
• 14+ verified certifications
• CCNP / CCNA certified
• ~40% attack-surface reduction from authorized NMU penetration test

• Multi-Angle Industrial Inspection Fusion: viewpoint-invariant defect detection with 95.3% accuracy, AUC 0.991, and 31.4 FPS edge inference
  Paper: IJVRA2603948
• Thermal + Depth Fusion for Predictive Maintenance: multimodal fault anticipation up to 72 hours before failure
  Paper: IJVRA2604277
• FONTA: Failure Ontology for LLM Agents: ontology-driven analysis of autonomous agent failures across 1,200 trials

Python React TypeScript Flask Django PHP PyTorch Docker Redis TensorRT PostgreSQL Vite

Building systems where frontend quality, model usefulness, and operational reliability all matter at same time.