Solutions Engineer blending hardware, software, and operational strategy.
RFID, IoT & Digitalization Enthusiast
Mechatronics engineering student with hands-on experience in RFID systems, IoT deployment, and software implementation. Passionate about solving operational challenges through technology — from configuring RFID hardware and developing software tools to supporting end-to-end solution delivery.
Strong interest in bridging engineering, software, and real-world business operations to create impactful digital solutions.
Core Focus
Job Experience
Practical implementation across RFID, IoT, and data-driven systems.
RFID Backend Engineer Intern
INCHZ IOT-
Developed a full-stack RFID calibration application using C# and .NET -
Enabled real-time RFID reader communication through MQTT -
Improved RFID device calibration accuracy and overall system reliability -
Troubleshot RFID hardware and backend integration issues in an Agile environment
RFID Business Development Intern
INCHZ IOT-
Gathered client requirements and analyzed operational workflows via site visits -
Demonstrated RFID products and solutions through client presentations and live demos -
Prepared technical proposals and customized RFID solution recommendations -
Bridged communication between clients and technical teams
MLOps Engineer Intern
Sudu AI-
Built and deployed machine learning pipelines on cloud infrastructure -
Developed predictive maintenance systems using real-time sensor data -
Worked with MLflow, Kubernetes, Seldon Core, Jenkins, Prometheus, and Grafana
Part-Time Marketing Executive
32 Degrees Grill & Bar-
Developed a digital reservation system to improve booking efficiency and reduce manual workload -
Managed high-budget digital marketing campaigns -
Strengthened client communication and developed a business-oriented problem-solving mindset
RFID Blockchain Warehouse Management System
Developed a blockchain-integrated RFID warehouse management system using Raspberry Pi and Ethereum to track textile roll data and visualize inventory information.
Cyber-Physical Monitoring
Developed a multi-sensor monitoring system integrating real-time data acquisition, cloud storage, dashboard visualization, and actuator control using Raspberry Pi.
IoT Air Quality Platform
Designed an IoT-based environmental monitoring platform integrating sensors for air pollutants, temperature, pressure, and humidity with real-time dashboard visualization.
ML Deployment Pipelines
Built and deployed machine learning models for heart attack risk classification and house price prediction, including complete training and inference pipelines on cloud infrastructure.
Automated Tank Monitoring
Developed a Python and Arduino-based system to monitor water levels and automatically control motor operations for efficient tank management.
Autonomous Robotics
Built an autonomous robot capable of detecting, picking up, and placing objects using Arduino programming and embedded control systems.
RFID & IoT Systems
Hardware integration • Reader configuration • Sensor networks • 3D Modelling
Software & Backend
C# .NET • Python • MQTT • APIs
MLOps & Cloud
ML pipelines • Kubernetes • MLflow • Monitoring tools
Engineering Mindset
Problem solving • System debugging • End-to-end deployment
Soft Skills
Client communication • Requirement gathering • Cross-team collaboration
Why I’m a Strong Fit for RFID Cloud
I bring a unique combination of engineering fundamentals, software development experience, RFID expertise, and client-facing communication skills.
My experience in RFID systems, IoT deployments, and technical solution design has prepared me to contribute effectively to real-world implementation projects. I enjoy understanding operational challenges, configuring technical solutions, troubleshooting technical issues, and collaborating with teams to ensure successful project delivery.
Most importantly, I am eager to learn, adaptable, and excited to grow with RFID Cloud while helping clients achieve successful digital transformation initiatives.