Resume

Engineering depth with AI results.

A blend of AI engineering, machine learning pipelines, and scalable systems. Download the full PDF for complete project breakdowns.

Android Development

95%

Developing Android applications using Kotlin, Java, and modern frameworks.

Image Processing

90%

Working with computer vision, OpenCV, MediaPipe, and ML models.

Data Analysis

88%

Analyzing data, building ML-ready pipelines, and generating insights.

Full-Stack Development

92%

Building scalable web and mobile applications with backend and frontend integration.

Artificial Intelligence

93%

Developing intelligent systems, training ML models, and integrating AI into real-world applications.

Cybersecurity

91%

Implementing secure architectures, hybrid cryptography, and conducting penetration testing.

Backend Engineering

94%

Building reliable APIs, designing scalable architectures, and integrating cloud services like S3.

Voice Assistant Development

89%

Creating custom voice-controlled systems with NLP, command pipelines, and automation logic.

Game Development

87%

Designing and developing interactive 2D/3D experiences using modern game engines.

Hardware & Embedded

86%

Working with Arduino, sensors, and system-level logic to build functional hardware–software systems.

UI/UX Design

90%

Designing clean, modern, and user-focused interfaces with strong attention to detail and usability.

Full-Stack & AI Engineer — Built AI-powered mobile apps, real-time dashboards, and intelligent backend systems for thousands of users.

Computer Vision Developer — Designed ML pipelines and optimized inference workflows for production environments.

Data Analyst & AI Integrator — Implemented ML-ready data flows and automated reporting systems for enhanced decision-making.

Cloud & System Architect — Developed scalable, event-driven APIs and elastic infrastructures integrating AI services.

Independent Product Engineer — Delivered end-to-end intelligent software, from UX to backend, model deployment, and optimization.