Aishwarya Ganeshan

Software Engineer

Bengaluru, Karnataka, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed AI-powered inventory system with demand forecasting.
  • Implemented role-based access control improving security.
  • Created automated PCB recognition system enhancing production efficiency.
Stackforce AI infers this person is a Backend-heavy Fullstack developer with experience in Mobile Development and Machine Learning.

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Skills

Core Skills

Mobile ApplicationsBackend DevelopmentMachine LearningComputer Vision

Other Skills

FlutterFirebaseRole-Based Access ControlReal-time Data SynchronizationOrder ProcessingPythonImage PreprocessingFeature ExtractionIncident ManagementMicroservicesDocker ProductsDevOpsWAMPFront-End DevelopmentGitOps

About

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

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Dinesh it

Android Application Developer Intern

Apr 2025May 2025 · 1 mo

  • Implemented role-based dashboards improving operational efficiency by 30% with Flutter and Firebase.
  • Enhanced security by developing a robust role-based access control system.
  • Achieved real-time data synchronization through efficient application architecture.
  • Developed secure and user-friendly workflows through dedicated role-based access controls.
  • Designed an app that streamlined order tracking and reduced order processing time by 10%.
FlutterFirebaseRole-Based Access ControlReal-time Data SynchronizationOrder ProcessingMobile Applications+1

Dyocense

Project Intern

Apr 2024May 2024 · 1 mo

  • Accomplished a 20% reduction in manual inspection time by developing an automated PCB recognition
  • system using Python and Machine Learning.
  • Improved detection accuracy by implementing efficient image preprocessing and feature extraction techniques.
  • Innovated digital solutions by applying computer vision to identify electronic components on printed circuit
  • boards.
  • Accelerated production efficiency with automation in PCB component identification.
  • Conducted in-depth research advancing enterprise technology applications using machine learning.
PythonMachine LearningComputer VisionImage PreprocessingFeature Extraction

Education

Christ University, Bangalore

Aug 2022May 2026

Christ University, Bangalore

Bachelor of Technology — Computer Engineering

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