Headline

Software Engineer

About

I'm an Electronics and Communication Engineering graduate who has recently started exploring the VLSI domain with a strong intent to build a career in chip design. Coming from an ECE background with knowledge in digital electronics, logic design, and C++ programming, I'm now channeling that foundation into learning VLSI concepts — starting with RTL design using Verilog and working towards Physical Design flows. I'm drawn to how EDA tools like those built by Cadence Design Systems power the entire semiconductor industry — and my goal is to grow into that ecosystem, contribute meaningfully, and build expertise in tools like Innovus, Xcelium, and Virtuoso. I believe in learning by doing — and I'm committed to putting in the work, one concept at a time. 🎓 B.E. — Electronics and Communication Engineering 📚 Currently Learning: Verilog · VLSI Fundamentals · Digital Design 💻 Background: C++ · Digital Electronics · Logic Circuits 📍 Looking for opportunities a EDA tools learnings and Chip designs tools, Bengaluru.

Location

India

AI stack

antigravity

claude code

claude

codex

deepseek

gemini

Work experience

Java Full-stack Developer at Besant Technologies, Feb 2025 - Jul 2025 · 6 mos, Bengaluru, Developed a full-stack Online Shopping Web Application using React.js (frontend) and Java Spring Boot (REST APIs), with MySQL for relational data storage Designed and implemented 10+ REST API endpoints handling product catalog, cart, and user authentication flows Built a Student Management System with CRUD operations, reducing manual data management effort by ~60% in test scenarios Followed Git-based version control workflow with feature branching, enabling clean team collaboration across 4-week sprint cycles

Summer Intern at TVS Training and Services Limited, Jul 2024 - Aug 2024 · 2 mos, Chennai, Trained a Student Performance Prediction model using scikit-learn on a dataset of 400+ records, achieving ~90% classification accuracy Applied deep learning (PyTorch) to simulate 1-Bit MIMO Precoding for DAC systems — bridging ECE domain knowledge with ML implementation Performed data preprocessing, feature engineering, and model evaluation (confusion matrix, F1-score) on real-world datasets

Education

Bachelor of Engineering, Electronics and Communications Engineering, Government College of Engineering, Erode

Diploma of Education, Diploma in Electronics and Communication Engineering, TNDTE