Akiv Pingle — Professional
I’m an AI and machine learning developer with a strong foundation in aeronautical engineering, passionate about transforming satellite imagery into actionable intelligence—particularly in defense and aerospace. My work integrates deep learning (YOLOv8, GANs) with geospatial and image processing techniques to identify military and civilian aircraft, naval vessels, SAM sites, and radar installations from satellite and aerial imagery. I also apply 3D modeling using Blender to visualize aircraft structures, often based on open-source SVG schematics and engineering references. With an engineering mindset, I analyze aircraft geometry, silhouettes, and specifications to improve classification accuracy—bringing together both technical and aeronautical perspectives. I'm currently building open-source tools for aircraft recognition, object detection, image enhancement, and annotation workflows, using Python, Google Colab, and PyQt5. 🔧 Core Skills: Aeronautical Engineering Principles: Airframe structure, aircraft recognition, silhouette analysis AI/ML: YOLOv8, GANs, CNNs, TensorFlow, PyTorch Tools: Python, OpenCV, Google Colab, QGIS, Blender, PyQt5 Domains: Satellite imagery, military surveillance, aircraft classification 🚀 Let’s connect if you’re exploring AI-driven aerospace innovation, military tech, or aircraft data modeling!
Stackforce AI infers this person is a specialist in Defense and Aerospace with a focus on AI and machine learning applications.
Experience: 6 yrs 8 mos
Skills
- Ai/ml
- Aeronautical Engineering
Career Highlights
- Expert in AI-driven aerospace innovation.
- Proficient in deep learning for military applications.
- Skilled in transforming satellite imagery into actionable insights.
Work Experience
Nibe Space
Senior Data Scientist (11 mos)
Freelance
Professional Freelancer (5 yrs 9 mos)
Education
Bachelor of Engineering - BE at MVJ College of Engineering, Bangalore, India