Building at the intersection of silicon, software, data, and intelligent systems.
I explore how things work — from transistor-level circuit design to embedded systems, AI-powered applications, Data analysis, and software tools that solve real problems.
I'm Ugandhar, an Electronics and Communication Engineering student who enjoys working across hardware and software.
I don't want to limit myself to a single technology. I like understanding the fundamentals, building things from scratch, experimenting with new tools, and documenting what I learn along the way.
- Electronics: CMOS circuits, VLSI design, SRAM, digital logic, and circuit simulation.
- Embedded systems: Microcontrollers, Arduino, sensors, and hardware-software integration.
- Software development: Python, C/C++, SQL, web technologies, and desktop applications.
- AI and research: Computer vision, machine learning, data analysis, and practical AI applications.
- Technical writing: Sharing projects, experiments, lessons, and personal experiences on my blog.
- Community: Student leadership, technical events, collaborative projects, and knowledge sharing.
My approach is simple: understand the problem, build a solution, test it, improve it, and share what I learn.
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These are some of the engineering areas I have worked on or explored. Visit my repositories for the source code, implementation details, and project documentation.
A Windows desktop application concept designed to encourage healthier work habits through reminders for eye rest, hydration, and short movement breaks.
Focus: C#, .NET, WPF, desktop application development, and privacy-conscious design.
Circuit-level experiments involving CMOS inverters, digital logic, SRAM cells, and transistor-level design using Cadence Virtuoso.
Focus: CMOS design, transistor behavior, digital electronics, and circuit simulation.
An Arduino-based prototype using an ultrasonic sensor and servo motor to scan surroundings and visualize detected objects.
Focus: Arduino, sensor interfacing, servo control, and Processing-based visualization.
A computer vision project exploring an ensemble approach combining DenseNet and Xception for plant disease classification.
Focus: Deep learning, image classification, computer vision, and model evaluation.
A project exploring how AI-assisted workflows can support competitive intelligence and structured analysis.
Focus: AI integration, research workflows, and agent-based software systems.
Cadence Virtuoso · Proteus · SQL · NumPy · Pandas · OpenCV · Matplotlib · NodeMCU
Technologies represent tools and areas I have used or explored; proficiency varies by tool and project.
Engineering is not just about writing code or designing circuits. It is also about learning with others, communicating ideas, and taking responsibility.
- Technical leadership: Contributing to student technical communities and organizing learning opportunities.
- Knowledge sharing: Writing about projects, technical lessons, and personal experiences.
- Experimentation: Building prototypes, testing ideas, and learning from failures.
- Continuous learning: Strengthening fundamentals while exploring new engineering fields.
I also maintain a personal blog where I document projects, technical learning, experiences, and ideas in my own words.
Learn. Build. Document. Repeat.
I am here to understand how things work, build things that matter, and keep getting better at both.