Mahesh Raskar
Software Engineer | AI • Data • Cloud • Mobile
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About GWC-SYS
GWC-SYS is a specializing in AI, Full-Stack Development, Data Engineering, Cloud Solutions, and enterprise software. Our team of 20 skilled professionals collaborates to design, build, and scale secure, high-performance digital products for startups, businesses, and enterprises.
We transform ideas into intelligent, scalable solutions by combining modern technologies with industry best practices. From AI-powered applications and mobile development to cloud infrastructure, data pipelines, and enterprise SaaS platforms, we deliver reliable software that helps organizations innovate and grow.
What We Do
Artificial Intelligence & Machine Learning
Full-Stack Web Development
Mobile App Development (React Native)
Data Engineering & ETL Pipelines
Cloud Architecture (AWS, Azure, GCP)
API Development & System Integration
DevOps, CI/CD & Infrastructure Automation
UI/UX Design & Product Development
Why Choose GWC-SYS
Team of 20 experienced technology professionals
Modern, scalable, and secure software architecture
Agile development with transparent communication
High-quality code and industry best practices
End-to-end development from idea to deployment
Long-term technical support and maintenance
At GWC-SYS, our mission is to build intelligent digital solutions that empower businesses, improve efficiency, and create lasting value through innovation and technology.
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Food Nutrition Database
Developed a comprehensive Food Nutrition Database containing detailed nutritional information for a wide variety of foods, including fruits, vegetables, grains, dairy, beverages, snacks, fast food, and international cuisines. Built Python-based automation scripts to collect, clean, validate, and organize nutrition data into structured Excel datasets using Pandas. The database includes essential nutritional values such as calories, protein, carbohydrates, fats, fiber, vitamins, and minerals, making it suitable for fitness, diet planning, health tracking, and AI-powered nutrition applications.
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Data Engineering Project – Data Transformation Pipeline
Developed a data engineering pipeline to transform raw datasets into clean, structured, and analytics-ready data. Implemented data extraction, cleaning, validation, transformation, and loading (ETL) processes using Python and SQL to improve data quality and consistency. Automated preprocessing workflows, handled missing and duplicate records, standardized data formats, and generated optimized datasets for reporting, business intelligence, and machine learning applications.
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ZE Gym – React Native Gym Management Application
Developed ZE Gym, a cross-platform React Native application for gym management, designed with a scalable multi-tenant architecture. Built secure authentication with role-based access control (Admin, Trainer, Receptionist, and Member), membership management, QR-based attendance, workout tracking, payment management, and real-time dashboards. Integrated REST APIs with FastAPI and PostgreSQL, implemented responsive mobile UI, state management, and offline-friendly data handling to deliver a seamless fitness management experience across Android and iOS.
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Full Stack Developer Portfolio
Designed and developed a modern, responsive full-stack developer portfolio to showcase projects, technical skills, certifications, and professional experience. Built with a clean, mobile-first user interface, the portfolio features interactive project showcases, GitHub integration, downloadable resume, contact form, and optimized performance. Focused on responsive design, accessibility, SEO best practices, and a scalable architecture to provide a fast, engaging experience across desktop and mobile devices.
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AI Agriculture Automation System
Description
AI Agriculture Automation System is a smart farming platform that leverages Artificial Intelligence, IoT, Computer Vision, and Cloud Computing to help farmers monitor crops, automate irrigation, predict diseases, analyze soil health, and maximize agricultural productivity. The platform collects real-time data from field sensors, drones, cameras, and weather services to provide intelligent recommendations that improve crop yield while reducing water consumption, fertilizer usage, and operational costs.
The system features AI-powered crop disease detection, automated irrigation control, weather forecasting, yield prediction, pest monitoring, fertilizer recommendations, and an interactive analytics dashboard. Farmers can remotely monitor their farms through a web or mobile application, receive instant alerts, and make data-driven decisions for sustainable and efficient farming.
Key Features
🌱 AI-powered Crop Disease Detection
🚁 Drone-based Crop Monitoring
📷 Computer Vision Plant Analysis
💧 Smart Automated Irrigation
🌦 Real-time Weather Monitoring
🌡 Soil Moisture & Nutrient Analysis
📊 Farm Analytics Dashboard
📈 Crop Yield Prediction
🦗 Pest Detection & Monitoring
🔔 Real-time Notifications & Alerts
📍 GPS Field Mapping
🤖 AI Farming Assistant
☁ Cloud Data Storage
📱 Android, iOS & Web Support
🔒 Secure Authentication & Role-Based Access
📑 Farm Reports & Insights
Technology Stack
Frontend
React.js
Next.js
React Native (Android & iOS)
TypeScript
Tailwind CSS
Material UI / ShadCN UI
React Query
Axios
Chart.js / Recharts
Leaflet / Google Maps API
Backend
Python
FastAPI
REST API
SQLAlchemy
Pydantic
JWT Authentication
RBAC (Role-Based Access Control)
Artificial Intelligence & Machine Learning
TensorFlow
PyTorch
YOLOv8
OpenCV
Scikit-learn
XGBoost
Pandas
NumPy
Hugging Face Transformers
ONNX Runtime
IoT & Edge Devices
ESP32
Raspberry Pi
Arduino
MQTT
LoRaWAN
Zigbee
Soil Moisture Sensors
Temperature & Humidity Sensors
pH Sensors
Water Flow Sensors
Weather Station Integration
Database
PostgreSQL
TimescaleDB (Time-Series Data)
Redis
MongoDB (Optional)
Cloud & DevOps
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Docker
Kubernetes
Nginx
GitHub Actions
Terraform
Data Engineering
Apache Kafka
Apache Airflow
Apache Spark
Delta Lake
Azure Data Factory
Databricks
Computer Vision
OpenCV
YOLOv8
Roboflow
TensorRT
MediaPipe
APIs & Integrations
OpenWeather API
Google Maps API
Twilio SMS API
Firebase Cloud Messaging
WhatsApp Business API
OpenAI API (AI Assistant)
Security
OAuth 2.0
JWT Authentication
HTTPS/SSL
AES Encryption
Role-Based Access Control
Audit Logs
Deployment
Docker Compose
Kubernetes
Azure App Service
AWS EC2
Azure Kubernetes Service (AKS)
Google Kubernetes Engine (GKE)
Project Highlights
AI-powered smart farming platform
Real-time IoT sensor monitoring
Drone and satellite crop analysis
Automated irrigation and water optimization
Predictive analytics for crop yield and disease prevention
Cloud-native, scalable microservices architecture
Interactive analytics dashboard with live farm insights
Cross-platform web and mobile applications
Enterprise-grade security and multi-user management
Built for precision agriculture, sustainability, and data-driven farming
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AI Hospital Recommendation System
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Smart Vehicle Health Monitoring
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StackHack.live
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Mahesh Portfolio
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