Graduate Software Developer poised to contribute to team success through diligence, precision, and strong organizational prowess. Proficient in Networking protocols and . Committed to continuous learning and advancement in the Software Development Industry.
Programming│ Java, C#, C, C++, .NET Framework, Python, GoLang, REST API, Object-Oriented Analysis and Design (OOAD), BASH.
Databases| MySQL, Virtualization, Oracle DB, Mongo DB, Cloud technologies.
Software │Linux, Postman, VS Code, Eclipse, Kubernetes, UEFI/BIOS, Jenkins, Docker, Git+GitHub, Microsoft Office, CVS, Jira, Alma, Threads, Multithreading, Fedora, Synchronization, Debugging, OS and system software, and U-Boot.
UI/UX | JavaScript, HTML, CSS, jQuery, Ajax, JSON.
Hardware Knowledge│ Micro-controllers (Arduino boards, 8051), Embedded systems, Oscilloscopes, ARM processors, Digital Analyzers, Digital Multimeters.
Communication and Presentation| Strong English verbal communication and technical writing skills. Experienced in delivering presentations and managing stakeholder communications.
Problem Solving| Demonstrated ability to address technical and project-related challenges efficiently.
Time Management and Teamwork| Proven track record in managing time effectively and working collaboratively in team settings.
AI/ML Technologies| Hands-on experience with AI/ML applications in project settings.
Automation in Agriculture - An IoT and Machine Learning based Approach, Karnataka, India, C++, Machine Learning, Arduino, Node MCU, and ThinkSpeak server, Led an innovative project in agriculture integrating C++ programming and embedded systems to develop an Intelligent Irrigation System. Leveraged Arduino and NodeMCU microcontrollers with custom C++ firmware for real-time data analysis. Implemented adaptive watering and nutrient-driven fertilization algorithms, resulting in significant yield optimization and resource efficiency., Developed C++ firmware for Arduino and NodeMCU microcontrollers, ensuring real-time processing and efficient resource utilization., Integrated IoT devices with MQTT protocol for seamless data transmission to ThingSpeak server., Utilized C++ for soil moisture analysis and adaptive watering algorithms., Applied Machine Learning for predictive modeling and optimization of irrigation schedules., Achieved remarkable improvements in crop yield and water usage efficiency through field testing and validation. Smart Herbicide Sprayer, Karnataka, India, Raspberry Pi, Arduino, Machine Learning, ThinkSpeak server, Integrated Raspberry Pi and Arduino with machine learning for real-time weed detection in tomato fields. Optimized herbicide application, prioritizing precision and environmental sustainability. Developed an independent, battery-powered solution for adaptable agricultural use.