Aishwarya Ganeshan — Software Engineer
As a Software developer, I've spent the last two years building backend infrastructure that makes intelligent features work in production like APIs, microservices, and data pipelines designed to sit beneath the machine learning layer and hold up under real conditions. Over the past two years, I've shipped an AI-powered inventory system with demand forecasting, a sports odds intelligence platform backed by ML predictions, and a Flutter application in active use by a real business. Each project deepened my fluency with Docker-based deployment, JWT-secured REST APIs, PostgreSQL at scale, and FastAPI service architecture. My internship as an ML engineer, developing a PCB component recognition system using computer vision alongside a mobile engineering engagement building RBAC workflows with Flutter and Firebase gave me a grounded understanding of what it takes to move from model to production and from prototype to something users genuinely depend on
Stackforce AI infers this person is a Backend-heavy Fullstack developer with experience in Mobile Development and Machine Learning.
Location: Bengaluru, Karnataka, India
Experience: 0 mo
Skills
- Mobile Applications
- Backend Development
- Machine Learning
- Computer Vision
Career Highlights
- Developed AI-powered inventory system with demand forecasting.
- Implemented role-based access control improving security.
- Created automated PCB recognition system enhancing production efficiency.
Work Experience
Dinesh IT
Android Application Developer Intern (1 mo)
Dyocense
Project Intern (1 mo)
Education
at Christ University, Bangalore
Bachelor of Technology at Christ University, Bangalore